PostgreSQL on Ubuntu Reviews

My main use case for PostgreSQL on Ubuntu is as a backend database for client web applications, handling relations, data, user records, transactional data, reporting, and queries. It is our default choice for our projects.

One specific example of how I use PostgreSQL on Ubuntu for one of my client web applications is in a service booking web application, which is for a small business appointment scheduling with customer records. We run it on an Ubuntu server with PostgreSQL handling all the data. The database manages three main tables: customers, appointments, and services. We use SQL indexing on the appointment date column to keep queries fast when pulling upcoming bookings. We also use row-level constraints to prevent double booking the same time slot. On the back end, we have a Node.js API connected via the PG driver. Ubuntu systemd keeps the PostgreSQL servers running reliably with automatic restarts. We also set up automatic PG dump backups on a cron job nightly to remote locations. We have basically had zero unplanned downtime, so it performs very well.

From our experience, several features that PostgreSQL on Ubuntu offers really stand out, including reliability and ACID compliance. Transactions are rock solid. We never had a data corruption issue, even during unexpected server restarts. JSON support, being able to store and query semi-structured data alongside our relational tables in the same database, is huge. That is a significant advantage. We do not need a separate MongoDB instance for flexible data. Full-text search built right in means no extra service is needed. For smaller projects, it completely eliminates the need for something like Elasticsearch. Extensions, like encryption, UUID generation, and geodata, make the ecosystem very rich. There are no problems, especially with performance. Performance tuning on Ubuntu, being able to edit directly and tune things like the shared buffers, the working memory, and max connections for your exact hardware, is something you cannot do with managed cloud databases the same way. It does not work or come close. Cost is completely free and open source, which is a significant advantage, especially when you want to scale and provide this quality database to many customers. It is cost-effective to manage database services, especially for smaller to mid-sized client projects. The combination of PostgreSQL features' depth with Ubuntu stability is a no-brainer. Open source means zero cost, which is fantastic.

PostgreSQL on Ubuntu could be improved with easier out-of-the-box configuration. The default settings for PostgreSQL on a fresh Ubuntu install are very conservative. Things such as shared buffers and work memory are too low for any real production workloads, and you have to know how to go in and tune it manually. A smart default configuration wizard during installation that detects hardware and suggests settings would save a lot of junior developers from performance headaches. That is important.

Built-in connection pooling is another area; PostgreSQL does not handle large numbers of concurrent connections well natively. You end up needing to set up PG Bouncer separately, which is another tool to learn, configure, and maintain. Having a lightweight connection pooler built into the core installation would be a real quality-of-life improvement. Additionally, a better built-in monitoring UI would help. Primarily, if you are working with Ubuntu, you are largely working with PostgreSQL on the command line and installing third-party tools such as pgAdmin or Adminer. A lightweight built-in web dashboard for basic health monitoring would improve projects significantly.

Finally, upgrades between major versions and smaller versions should be a lot easier as well. None of these are deal-breakers; they are just nice to have improvements.

I have been using PostgreSQL on Ubuntu for ten years.

PostgreSQL on Ubuntu is extremely stable.

The scalability of PostgreSQL on Ubuntu is more than adequate. Let me speak to both the strengths and the honest limitations. Vertical scaling is straightforward; if a project needs more performance, we can upgrade our VPS to larger instances with more CPU, more RAM, and tune accordingly. Increasing efficiency through enabling PG stat statements and query analysis makes a significant difference. We have databases with millions of rows without any meaningful performance degradation on properly indexed tables.

Read scaling is supported natively; PostgreSQL enables statement replication, allowing us to spin up read replicas on Ubuntu to distribute read-heavy workloads, which is fantastic. However, horizontal write scaling requires more work; sharding across multiple nodes is not built in a native way, which poses challenges compared to these distributed databases.

Customer support for PostgreSQL on Ubuntu is one area where it differs from a commercial product.

I previously used MySQL as our default database, also on Ubuntu. It was the path of least resistance at the time; most shared hosting and early tutorials defaulted to MySQL, so that is all we knew. We switched to PostgreSQL on Ubuntu for several reasons, including data integrity, JSON support, and advanced features. The community direction influenced our decision as well. We switched gradually, implementing PostgreSQL on new projects over time, and as we got more comfortable, we made PostgreSQL our standard now.

My experience with pricing, setup cost, and licensing for PostgreSQL on Ubuntu has been very straightforward and reasonable. I had no issues with the pricing or setup; it was all streamlined flawlessly.

For project delivery, the standard setup we can replicate has saved probably two to three days off our initial project setups. This is a very significant deal when you are dealing with projects, especially on large scales. Regarding stack complication, on three projects, we replaced dual SQL. Basically, we eliminated the entire service of having all these complicated stacks and brought it all into one. That has dropped roughly thirty percent of our time. For team size, we have not needed to hire dedicated administrators; a one-man or two-man team can run the entire setup and the database structures, especially if you are adding AI automation into it, so you can definitely get further in your projects and work a lot smarter.

The ROI for using PostgreSQL on Ubuntu has been clear and consistent across a few dimensions. For money saved, as I mentioned earlier, we cut database infrastructure costs by roughly sixty to seventy percent by moving away from managed databases to using hosted PostgreSQL on Ubuntu VPS instances. We do not need a DBA; time saved on setup is standardized on PostgreSQL on Ubuntu, meaning new projects get a database environment up and running in under an hour. Previously, evaluating and configuring different solutions per project was eating two to three days per engagement. Multiply that by eight to ten projects a year, and that is meaningful recovered time.

We also see a reduction in maintenance overhead; consolidating to a single database technology cut our ongoing maintenance down to thirty percent. Altogether, the ROI has been strong enough that we have not seriously considered switching. The cost of migrating away from working systems would outweigh any theoretical gains at this point.

I can give you a few rough estimates based on what we have tracked regarding PostgreSQL on Ubuntu. For cost savings, before standardizing on PostgreSQL on Ubuntu, we were spending around eighty to one hundred twenty dollars per month per client per project on managed database services. Now we are running multiple projects on a single Ubuntu VPS with PostgreSQL for around twenty to forty dollars a month total. That is roughly a sixty to seventy percent reduction in database infrastructure cost across the board.

Before choosing PostgreSQL on Ubuntu, we evaluated a few different options. The first one was MongoDB; we evaluated it seriously because of its flexible document model, but it was not compelling. It was not accomplishing what we needed and it was over-complicated, lacking the same features and setup as PostgreSQL. We also looked into AWS RDS; we considered managed options to reduce our operational burden, and while the functionality was solid, the cost was hard to justify for smaller client projects. We needed something that we could scale, still feel premium, and not break the bank.

Additionally, we briefly used SQLite for very small internal tools and projects; it is great for its use case, but obviously it does not scale for client-based applications with the current uses. We also considered MariaDB as a drop-in MySQL replacement after the MySQL and Oracle situation. It was fine, but at the point we really started using PostgreSQL, we said it was just not better than PostgreSQL. After evaluating all these options, we found self-managed Ubuntu VPS to be the clearly right balance of features, cost, and control for our needs.

We decided we need to post JSONB columns for some of our flexible infrastructure, such as storing metadata for per client. It gives us a relationship reliability we need when handling semi-structured data without needing a separate NoSQL solution. We also appreciate how straightforward PostgreSQL is to manage on Ubuntu, especially using things such as PostgreSQL on the command line, PG_HBA configurations for access control, and the overall transparency of the system. It never feels like it is a black box. Overall, it is just a very dependable stack for us. We have tried other databases on other projects, but PostgreSQL on Ubuntu remains our default recommendation when we are dealing with clients' databases.

All these features work together really well with PostgreSQL on Ubuntu. There is nothing about piecing together separate tools; it is all native. JSON, full-text search, extensions, and the row-based access control system are all in one coherent platform. I also want to mention the community and documentation. Running PostgreSQL on Ubuntu means you almost never hit a problem that has not already been solved and documented somewhere. That is a significant advantage, because you have a system that has been battle-tested and ready to go. The combination of the official PostgreSQL docs, Stack Overflow, and the Ubuntu community means you are always going to have a resource to find out what is going on and fix a solution.

The impact of PostgreSQL on Ubuntu has been felt in a few key areas, with cost savings being the most direct one. We are not paying for someone to manage our databases, like RDS, other subscriptions, or any other services. We are cutting costs so infrastructure can scale, and our prices are not scaling with it. That is a significant deal, especially for an engineer, someone that provides applications for other companies. You want to be able to be very competitive with your pricing. Using PostgreSQL and Ubuntu together really saves and it is really cost-efficient. There is also faster project delivery because our whole team is already familiar with PostgreSQL. We do not lose time evaluating or learning a new database. We can hop right in and get the customer taken care of.

Then we reduce stack complexity. As I mentioned, JSON consolidates it from two databases down to one from several projects. You do not have to use all these different databases and try to connect all these; one place, one stack, and you are good to go. Client confidence is another factor; when we tell clients their data is on PostgreSQL, which powers companies such as Instagram and Spotify at massive scales, they feel good about it. They know that if this billion-dollar company can use this, they are definitely going to use this. Then, team scalability becomes easier; if PostgreSQL is what you have the skills to do, you can bring a whole team together and get massive projects done without feeling overwhelmed, unlike other complex databases. Overall, it is leaner, faster, and more cost-effective.

The JSONB support has made the biggest difference for us. Before we started using it, we had a real problem with client projects that had the flexibility of varying data structures. We were either cramming everything into rigid relation columns, which led to a lot of nullable fields, or we were spinning up separate DB instances in MongoDB to PostgreSQL, which meant managing two databases, two connections, two backup strategies. It added real complexity, was time-consuming, and increased costs. Once we started using the JSON columns, the whole problem went away. We could store structured relational data and flexible metadata in the same database. For example, in one project, each client record had a standard set of columns, such as name, email, and created date, but then the JSON column called preferences stores whatever the client configuration looks like. Client preferences can be slightly different and change over time, but we can update them without any issues with migration. We are really impressed with how the query performance has improved since JSON is stored in a binary format, so PostgreSQL can index it with GIN indexes. We can perform fast queries that run seamlessly, even with ten thousand records.

In summary, PostgreSQL on Ubuntu represents something that is becoming rare in the software world, which is a mature, stable, genuinely free tool that does not have a commercial agenda pushing you toward a paid tier or a vendor locking strategy. Everything we have discussed today, including JSON support, reliability, performance tuning, and extensions, is available to anyone who wants to learn at no cost. That is remarkable compared to an enterprise database vendor's charges. For anyone running a small to mid-size development operation or any organization with developers comfortable managing their own infrastructure, PostgreSQL is the default right answer for a relational database. The question should not be why PostgreSQL or Ubuntu; it should be why not. It has provided a solid foundation for our business, and I recommend it without hesitation.

My advice for others looking into using PostgreSQL on Ubuntu is to not skip the initial configuration. I would rate PostgreSQL on Ubuntu a nine out of ten overall.

My main use case for PostgreSQL on Ubuntu is as the backbone of an agricultural provenance system called France Farms, with the primary goal of creating a trust machine for smallholder farmers in the Caribbean. I use PostgreSQL on Ubuntu to store critical agricultural data such as soil metrics, harvest origin, and chemical records. To ensure the data is tamper-proof, I implement cryptographic hashing such as SHA-256. This allows me to anchor a digital fingerprint to every physical asset, providing an immutable audit trail that can be verified by international buyers. Ubuntu LTS provides the stable open-source environment required to run these high-integrity database operations reliably at the edge.

The best features that PostgreSQL on Ubuntu offers for my solution include data integrity via pgcrypto. PostgreSQL on Ubuntu is not just a bucket for data; with the pgcrypto extension, it becomes a security vault. The ability to run SHA-256 cryptographic functions directly within the database engine is critical. It allows me to seal agricultural records at the point of entry, ensuring that the provenance of the produce is immutable from farm to buyer.

The stability of Ubuntu LTS kernel ensures that the system stays stable for years without breaking changes. For an IT project or a bio-IT project in the Caribbean context where hardware resources can be limited, having a lean, high-performance OS that handles PostgreSQL on Ubuntu's resource demands efficiently is a major challenge. Additionally, JSONB allows for flexible farming data. Farming data can be messy; one day I am tracking soil pH, and the next day I am tracking rainfall or GPS coordinates. PostgreSQL on Ubuntu's JSONB support allows me to store semi-structured data from different types of farm sensors without having to constantly redesign the database schema. It gives the trust machine the flexibility of a NoSQL database with the ACID-compliant reliability of a traditional SQL system.

PostgreSQL on Ubuntu has positively impacted my organization by being the single most important factor in moving France Farms from a conceptual bio-IT project to a functional sovereign trust machine because it has credibility with international farmers and partners. Using enterprise standard stacks, I can prove to global buyers that my data integrity is not just a claim; it is backed by the same architecture used by the world's largest tech firms. This has significantly lowered the trust barrier for Caribbean produce. It also enhances resource efficiency; when operating in a developing economy, I have to do more with less, and the lean nature of Ubuntu allows me to run high-performance database operations on modest hardware at the edge, reducing my overhead while maintaining a high percentage uptime for provenance records. Scaling with confidence is also key; knowing that I can seamlessly migrate my local Ubuntu and PostgreSQL on Ubuntu environment to AWS or other cloud providers as I scale is a massive strategic advantage. This allows me to build sovereign solutions locally while remaining cloud-ready for global expansion.

To better serve my sovereign bio-IT projects such as France Farms, PostgreSQL on Ubuntu could be improved in three key areas. First, a native GUI for hashing security management would be beneficial; while the pgcrypto extension is powerful, having a native Ubuntu-optimized graphical interface for managing cryptographic keys and audit logs would lower the barrier for non-expert administrators in the field. I have been good at this because I was really focused on getting France Farms to work, and I used my flavor of AI to assist me.

Second, automated edge-to-cloud syncing would be a game-changer; a built-in lightweight tool for offline-first synchronization would be invaluable in regions such as the Caribbean, South America, or Africa, where internet connectivity can be intermittent. Having a native Ubuntu service that manages PostgreSQL on Ubuntu data syncing to AWS automatically when the connection is restored would improve the trust machine's reliability.

Third, streamlined ZFS integration for data snapshots would help ensure absolute data integrity. Integrating ZFS file system snapshots directly onto PostgreSQL on Ubuntu management tools on Ubuntu would allow for transparent, instant, tamper-proof backups, giving sovereign projects an extra layer of defense against accidental data loss or hardware failure.

I have been using PostgreSQL on Ubuntu for over a decade.

PostgreSQL on Ubuntu is very stable; it is regarded as the industry gold standard for stability. In the sovereign bio-IT context of my project for France Farms, stability is a requirement. If my trust machine crashes, the provenance of the produce is broken. Running PostgreSQL on Ubuntu 24.0 ensures access to security patches and updates. It also guarantees asset compliance; after atomicity, consistency, isolation, and durability, it means that even if the power goes out during a transaction, PostgreSQL on Ubuntu ensures that the data is 100 percent saved or rolled back. The synergy with the Linux kernel is excellent, as PostgreSQL on Ubuntu is a native Linux application that handles memory management and process scheduling incredibly well on Ubuntu.

PostgreSQL on Ubuntu is a good scaling weapon due to its vertical scalability. Ubuntu is efficient with hardware resources, allowing me to scale up by simply adding more RAM to my local server. PostgreSQL on Ubuntu is renowned for its ability to utilize every bit of hardware power that is given to it. Additionally, JSONB enhances data scalability; in agriculture, for example, data shape changes frequently. One month, I could be tracking citrus yields, and the next day, I am adding carbon sequestration metrics. PostgreSQL on Ubuntu's JSONB, as a binary JSON, allows me to store diverse data types in a single table while keeping it indexed and fast.

I have not needed customer support for PostgreSQL on Ubuntu yet, but because I use Ubuntu LTS, I still have access to the Ubuntu Advantage knowledge base and the Ask Ubuntu community. If a security patch is needed for the OS, it is pushed automatically. PostgreSQL on Ubuntu also has some of the most detailed technical documentation in existence.

I found the process of setting up PostgreSQL on Ubuntu, along with the pgcrypto extension, to be straightforward, but it required a subtle understanding of the Linux command line interface. Using APT to manage the installation and updates is seamless. The repository system makes it easy to get stable, tested versions of PostgreSQL on Ubuntu that I need for a production environment. The challenge, or the real learning curve, was in the permissions and configuration. Managing the pg_hba.conf file to secure remote access while ensuring the PostgreSQL on Ubuntu user has the right ownership of the data was a hurdle. Understanding how Ubuntu handles systemd services for PostgreSQL on Ubuntu was key. Once I understood how to use systemctl to manage the database lifecycle properly, the setup became very reliable. I also received some help from artificial intelligence, which was very helpful for me.

I have seen a return on investment from using PostgreSQL on Ubuntu with a reduction in infrastructure cost; Ubuntu LTS is relatively free, allowing me to avoid the high monthly managed service fees from proprietary database platforms. This enables me to funnel my limited capital directly into R&D and soil science. There is also 100 percent data integrity with no licensing fees. Fewer employees are needed because this was bootstrapped for one person, so I did not need to hire a large team for a startup such as this.

I chose to run PostgreSQL on Ubuntu directly onto Ubuntu LTS to maintain sovereign control over the pricing and setup cost.

Before choosing PostgreSQL on Ubuntu, I evaluated other options; specifically, I compared it with NoSQL, namely MongoDB, for its flexibility with unstructured agricultural sensor data, and SQLite for the edge nodes on the farms due to its zero configuration setup. While SQLite is great for small tasks, it lacks the enterprise security features and powerful pgcrypto extension required.

The decision to use cryptographic hashing in my system was driven by a lack of transparency in traditional agricultural supply chains. In the Caribbean, smallholder farmers often struggle to prove the origin and quality of their produce to international buyers. The particular challenge was creating an immutable audit trail without requiring expensive, high-bandwidth blockchain infrastructure at the farm level. By using SHA-256 hashing within PostgreSQL on Ubuntu, I can generate a unique digital fingerprint for every harvest record at the point of entry. This ensures that if a middleman or a rogue actor tries to tamper with the data, such as changing the organic status or the harvest date, the hash will no longer match. It turns a standard database into a trust machine, giving local farmers the sovereign proof they need to compete in global markets.

The primary feature I wish existed for PostgreSQL on Ubuntu is a native provenance layer for blockchain-light anchoring. This would be an Ubuntu service that can automatically anchor PostgreSQL on Ubuntu hash stamps to a public or private ledger. AI-driven integrity audits are also necessary; a built-in Ubuntu tool that utilizes machine learning to scan PostgreSQL on Ubuntu records for anomalies or inconsistent patterns in my agricultural data would serve as an automated digital inspector for stakeholder farmers, catching errors or fraud before the produce leaves the farm. Additionally, a hardware-level root of trust, such as binding the database master key to a physical hardware chip on an edge device, would guarantee that the data remains sovereign and cannot be moved or decrypted if the hardware is stolen from a rural farm site.

The most important thing for me is the synergy between the Linux kernel and PostgreSQL on Ubuntu. In a bio-IT context, especially when dealing with physical assets such as soil and harvest, the database cannot be a black box. Because I am running PostgreSQL on Ubuntu, I have total visibility into how the system handles hardware via Udev, how it manages file systems, and how it secures the data at rest. This full-stack transparency is what makes a sovereign trust machine possible. It allows a developer in a developing country or a developing economy to build enterprise-grade security that can be verified globally. If someone wants to build for the edge, where trust is the primary currency, PostgreSQL on Ubuntu is the only choice.

My advice for anyone looking to deploy PostgreSQL on Ubuntu for high-integrity projects is to first master the command line interface; this means not relying on GUI wrappers. Understanding how to manage PostgreSQL on Ubuntu via the Ubuntu terminal and focusing specifically on systemd for service management and file permissions for data directories grants true sovereign control. Lean into the extensions; do not treat PostgreSQL on Ubuntu as a basic SQL bucket. Explore extensions such as pgcrypto for cryptographic hashing and JSONB for semi-structured data; these features will enable building complex trust machines without needing additional expensive middleware. Prioritize security at the edge; if building for the real world such as agricultural IT, focusing on the synergy between the Ubuntu kernel and the database is crucial. Understanding how the OS handles hardware triggers will help automate data entry and secure the root of trust at the physical layer. Lastly, build for the cloud, but stay sovereign; start development on a local Ubuntu LTS instance to learn the configuration deeply. Once the local environment has been mastered, migrating to AWS RDS becomes a seamless strategic move rather than a technical hurdle. I would rate my overall experience with PostgreSQL on Ubuntu at a nine out of ten.

Hybrid Cloud

Amazon Web Services (AWS)

The main use case for PostgreSQL on Ubuntu is storing the database and serving as our primary database for storing the credentials of users and other information, including candidate data and enterprise data. This covers my main use case.

The best features PostgreSQL on Ubuntu offers are complex joins, which allow us to perform advanced SQL queries, providing the atomicity of our tables, ACID properties for transaction safety, and scalability that we can expand to, as we currently have 10 lakh users, and it is easily scalable.

Complex joins are the best feature that PostgreSQL on Ubuntu provides because I have been using NoSQL solutions such as MongoDB, but PostgreSQL has better efficiency for complex queries when used correctly.

PostgreSQL on Ubuntu has positively impacted our organization because, from the initial phase with around 1,000 plus users during user accessibility testing, we defined the tables in such a manner that even with future scalability increases, it would function well, and now it has grown to 10 lakh users, still holding up well with fast data retrieval and good query performance, supported by effective indexing methods.

In our user table with PostgreSQL on Ubuntu, we initially added indexing on the email property, but after a while, we found that the phone number field was also frequently used, and adding indexing to it improved our query retrieving speed and efficiency by almost 20 to 30 percent.

From an improvement perspective, the UI of PostgreSQL on Ubuntu can be somewhat better because from my experience, it is outdated compared to current UI generations, and the reliability without changing the entire system architecture can also be improved, along with optimizing index management such as adding proper indexes and removing unused ones.

Documentation for PostgreSQL on Ubuntu can also be improved because it is quite old and not easy for most people to understand, so that is one area that could see enhancement.

I have been using PostgreSQL on Ubuntu since 1.5 years.

From my experience, PostgreSQL on Ubuntu is very stable for our application.

The scalability of PostgreSQL on Ubuntu is very good because complex joins are performed smoothly and efficiently; just ensure that the database structure is well-defined from the start to scale from 1,000 users to 10 lakh users or any number of future users.

So far, we have not needed customer support for PostgreSQL on Ubuntu, but my initial inquiry about it was good.

Positive

We used to use Microsoft SQL, but it was costing us too much as the size of the database grew, which is why we switched to PostgreSQL on Ubuntu, where its internal B-tree optimization is quite good, making it sufficient for our application.

Regarding pricing and setup costs for PostgreSQL on Ubuntu, I do not have much information about pricing, but the initial setup was very easy, with the more tedious aspects appearing later during scaling; licensing is simple since it is open-source.

The return on investment with PostgreSQL on Ubuntu is very good compared to commercial databases such as Oracle or Microsoft SQL due to zero licensing cost and lower infrastructure costs, making it about 40 percent less expensive than licensed enterprise databases, and since there are no upfront licensing fees, the ROI is increased with a scalable system without exponential cost growth.

We evaluated Microsoft SQL and Oracle databases before choosing PostgreSQL on Ubuntu.

I would rate PostgreSQL on Ubuntu a solid nine or ten because it is very good for our application.

I chose a nine out of ten because while it is very robust, scalable, and cost-effective for RDBMS databases, one drawback is that it can be a complex setup for beginners, needing tuning for very high-scale workloads, which can be tedious if the sizes of queries and databases increase.

For anyone looking to use PostgreSQL on Ubuntu, it is ideal for applications that have a clear vision of their database and table structures, and it provides faster query searches, proving to be quite efficient, and it can also be used alongside other NoSQL solutions.

A mid-sized firm, a smaller firm, or a larger firm that wants to create an application should choose PostgreSQL on Ubuntu as it is the best choice; it is reliable, scalable, and requires thoughtful consideration of database and table structures to leverage its capabilities fully.

You should ask about how query optimization can be done and indexing strategies that PostgreSQL on Ubuntu provides, as these are important aspects to consider when using any SQL kind of databases.

I rate this product a nine out of ten overall.

Hybrid Cloud

Other

The primary use case for PostgreSQL on Ubuntu is storing and managing structured financial data extracted from scanned documents through our AI pipeline. When we processed an invoice or a trial balance through our OCR and LLM system, PostgreSQL on Ubuntu became the persistent layer where all that extracted data lived, including account codes, amounts, dates, and confidence scores from all the models. The FastAPI backend would query PostgreSQL to retrieve those records, and chartered accountants would use them in the system to validate and map those extracted line items. If someone needed to trace where a particular account entry came from, PostgreSQL had the complete audit trail and raw extracted data ready to query.

PostgreSQL on Ubuntu integrated seamlessly with the rest of our stack. We used it alongside n8n automation workflows running on Docker, and those n8n instances would write processed data directly into PostgreSQL tables. The database became their central hub where financial data flowed through multiple stages of the pipeline, from initial extraction through LLM classification, through trial balance mapping, all the way to final storage. We also leveraged PostgreSQL on Ubuntu’s JSONB columns quite extensively since our LLM outputs were semi-structured JSON. Being able to store those flexible JSON objects directly in the database without needing a separate document store was invaluable. It simplified our architecture and made querying and data retrieval much more straightforward when we needed to filter or aggregate results for reporting.

PostgreSQL on Ubuntu is deployed on-premises on Hostinger in our organization.

The standout features PostgreSQL on Ubuntu offers were three things. First, JSONB support was huge. Since our LLM pipeline generated semi-structured JSON outputs with extracted fields and confidence scores, being able to store and query that JSON directly in PostgreSQL on Ubuntu without needing a separate document store was a massive win. It simplified our entire architecture. Second was reliability and stability on Ubuntu. We ran PostgreSQL on Ubuntu on a Linux server in production and it was rock solid. We never had unexpected crashes or data integrity issues, even under heavy batch processing loads. The backup tooling with pg_dump also integrated seamlessly into our automated workflows, so we had confidence our data was always safe. Third, indexing and query performance was excellent. When the FastAPI backend needed to retrieve specific financial records or filter by account codes for our trial balance mapping system, queries stayed fast and consistent even as the dataset grew. That performance directly translated to a snappier experience for the chartered accountants using the system, which mattered significantly.

The impact of PostgreSQL on Ubuntu was tangible for our organization. On the reliability front, once we had PostgreSQL on Ubuntu as our structured data layer, we eliminated a lot of manual data validation work. Before that, extracted financial data had nowhere consistent to land, so it was error-prone. With PostgreSQL on Ubuntu in place, we had a clean, queryable store that made validation straightforward. On the metrics side, the full automation pipeline, which PostgreSQL on Ubuntu was central to, achieved a 70% reduction in manual data entry effort for our chartered accountant clients. Instead of manually re-entering invoice or trial balance data, the system extracted it, stored it cleanly in PostgreSQL on Ubuntu, and made it immediately available for review and mapping. That was a massive productivity gain. On cost, we also saw benefits from not needing separate document stores or complex caching layers. PostgreSQL on Ubuntu handled both structured data storage and semi-structured JSON in one place, which simplified our infrastructure and reduced operational overhead. The reliability also meant fewer debugging cycles and data recovery incidents, which translated to less engineering time spent on firefighting and more time on feature extraction.

The way I measured that 70% reduction in manual data entry was straightforward. We tracked the time chartered accountants spent manually entering financial data before and after our full automation pipeline went live. We examined a sample of their typical workflows, such as processing and trial balancing or a set of invoices, and compared how long it took them to do that work manually versus using our system end-to-end. The 70% figure came from that comparison. The system handled extraction, classification, and mapping automatically, so they only needed to do light validation rather than full manual data entry. It was not a rigorous academic study with control groups.

Several things come to mind for improvements in PostgreSQL on Ubuntu. First, the monitoring and observability experience on Ubuntu could be smoother. Setting up proper visibility into query performance, slow query logs, and connection pool statistics requires additional tools such as pg_stat_statements or external monitoring solutions. It would be helpful if PostgreSQL on Ubuntu shipped with slightly more user-friendly native dashboards built-in, especially for developers who are not dedicated database administrators. Second, native vector similarity search would be valuable. We were doing semantic document retrieval as part of our pipeline, so we ended up using Pinecone as a separate vector database alongside PostgreSQL on Ubuntu rather than keeping everything in one system. PostgreSQL on Ubuntu has some emerging vector capabilities, but if native vector similarity search were more mature and performant out of the box, it would allow consolidating the architecture and reducing operational complexity. Additionally, full-text search, while functional, required extra configuration for our financial document use case. Having more intuitive defaults for that would lower the barrier to entry for search-heavy applications.

I used PostgreSQL on Ubuntu throughout my time at Radiant Services, approximately one and a half years of hands-on production experience.

PostgreSQL on Ubuntu is stable.

The customer support for PostgreSQL on Ubuntu is quite responsive. When I needed help with my vector search, I contacted them, and they provided substantial assistance.

On the integration side, PostgreSQL on Ubuntu played well with our broader tech stack. The async driver we used, asyncpg, integrated smoothly with FastAPI, so our backend could handle concurrent requests efficiently without blocking on database calls. That was important when we were processing multiple documents in parallel. On extensions, we did not lean heavily into custom PostgreSQL on Ubuntu extensions, but the fact that they are available and well-maintained is reassuring for future use cases. On security, the role-based access control and pg_hba.conf gave us fine-grained control over who could access what, which was critical when handling sensitive financial data for chartered accountants. We could lock down access per application user and audit everything. PostgreSQL on Ubuntu’s strong ACID compliance meant we could trust data consistency, which is non-negotiable when dealing with financial records where accuracy is essential.

I give PostgreSQL on Ubuntu a rating of 8 out of 10. I chose this rating because there are improvements needed, such as native vector similarity search and smoother monitoring and observability experience on Ubuntu, particularly for developers who are not dedicated database administrators.

My advice to others looking into using PostgreSQL on Ubuntu would focus on connection pooling documentation and tooling, which is quite good. If you are building an AI or LLM-based application that produces structured or semi-structured data, which is increasingly common, PostgreSQL on Ubuntu is a genuinely strong choice. It is production-grade, battle-tested, and it handled our financial document processing workloads extremely well. My advice would be to use JSONB columns early if your outputs are schema-flexible, set up connection pooling with pgBouncer from day one, and if you need semantic search, combine PostgreSQL on Ubuntu with a vector database such as Pinecone rather than trying to consolidate everything into one system.

Also, automate your backups with pg_dump as part of your CI/CD setup from the start. Overall, PostgreSQL on Ubuntu is very good, and I am genuinely impressed with how reliable and performant it was in our production environment. It scaled well for our use case. As our document volume grew over time, PostgreSQL on Ubuntu handled increased load without requiring major architectural changes. Proper indexing and query optimization kept performance consistent, and the fact that it runs efficiently on Ubuntu meant we could scale vertically by adjusting server resources without changing much in our application layer. For teams expecting data growth, which is almost inevitable in AI-driven document processing, PostgreSQL on Ubuntu is an excellent choice.

I am working with PostgreSQL on Ubuntu as a consultant. I have been using PostgreSQL on Ubuntu from the open-source perspective. I have not used any license with PostgreSQL.

The biggest benefit in PostgreSQL on Ubuntu for me is the open-source advantage. Both the open-source aspect and the very strong community support provide significant value. I can do many multiple things rather than some very tightly-locked features from products that require license purchases and waiting for feature releases. From the out-of-the-box solutions, the community is very helpful and I can get solutions much faster.

Nowadays, with GenAI and AI tools available, there is a deposit of the entire knowledge base into one model. I get very fast support and help from GenAI as well. The biggest power for PostgreSQL on Ubuntu is the open-source aspect. Any open-source software allows me to look into the code, understand the logic, and mold my code according to it, and it will work perfectly rather than proprietary solutions where I am very much dependent on the vendor and have to wait for their next release to fix things.

PostgreSQL on Ubuntu could benefit from serverless support. Things have moved into the cloud, and it would be helpful to have an in-house serverless solution where we have distributed data. We could expand and reduce the servers behind the scenes with elasticity. I know this is a very complex thing because PostgreSQL on Ubuntu is atomic, and atomic databases have very consistent storage and all these things. However, it would be greatly helpful in planning capacity and in terms of if we need to expand in the future, we can expand, and in case it is not needed, we can shrink back. The elastic feature would be better if there were some solution like this.

Regarding scalability, PostgreSQL on Ubuntu is scalable, but if they have some native, more elasticity-induced capability, it would be beneficial. Currently, I am working on containers mostly, and containers are deployed and then destroyed. The database is always on very rigid servers which are hardly expanded or extended sometimes, but reduced, no. I cannot reduce them back because I do not know what sort of data I need and which sort of data I need to discard. That is a very difficult decision to make. If there is a feature regarding that, it would be nice to have. If there is not, it would be nice to have more native support for the cloud and this flexibility in data manipulation and data handling.

I have been dealing with this solution for eight to nine years.

PostgreSQL on Ubuntu is stable. If something goes wrong, I would not blame PostgreSQL. I would only say that it is something that I need to fine tune. PostgreSQL on Ubuntu is handling my production infrastructures very well and it is going very good.

Regarding scalability, PostgreSQL on Ubuntu is scalable, but if they have some native, more elasticity-induced capability, it would be beneficial. Currently, I am working on containers mostly, and containers are deployed and then destroyed. The database is always on very rigid servers which are hardly expanded or extended sometimes, but reduced, no. I cannot reduce them back because I do not know what sort of data I need and which sort of data I need to discard. That is a very difficult decision to make. If there is a feature regarding that, it would be nice to have. If there is not, it would be nice to have more native support for the cloud and this flexibility in data manipulation and data handling.

The installation and deployment process of PostgreSQL on Ubuntu is very straightforward. I have automated it and I know that it is not about MySQL, but both of them have a very similar installation process. The main difference is the commands on how you manage MySQL and how you manage PostgreSQL on Ubuntu.

PostgreSQL on Ubuntu is open-source, and I have not spent a single penny other than the infrastructure on which it is hosted. If I look into the market, I have very heavy products, and even MySQL is also open source, but PostgreSQL on Ubuntu gives me a lot of savings in terms if I were to go to any other vendor which has a license. The ROI is significant because I am not paying a single penny for the product itself, but only for the underlying infrastructure.

PostgreSQL on Ubuntu can be used for holding the data from the apps, helping with the logic, and retrieving the data, serving the data of clients, customers, and the user base. That is the main reason. PostgreSQL is a relational database. However, if there is something which is a non-relational database, a non-structured one, it goes to NoSQL options like MongoDB or DynamoDB in AWS.

The best advantage in PostgreSQL on Ubuntu is its flexibility for the users, for the developers actually. They are very much comfortable in designing the schemas. For me, it is very much flexible for maintaining the backups, the clusters, and running smooth operations. PostgreSQL on Ubuntu is very much flexible.

From the developer side, they are the ones that are using these features from PostgreSQL on Ubuntu. I am using it from the operational point of view: backup, security, and hosting it on a server or on the cloud. That is what my job is.

The performance for PostgreSQL on Ubuntu is very good and it is optimized. It gives me leverage of handling more queries at a time and speeds up the process.

There are features from the developer side regarding foreign data wrappers in integrating disparate data sources.

Since I am using PostgreSQL on Ubuntu in a very specific niche like maintenance, management, and backups, there is a very less chance I will find something negative about it because so far what I have used in the projects, I needed a thing and I needed a solution and it was there already. Everything was there already and it was smooth. However, more or less developers are the right person that can say this is a must-have feature that they miss in PostgreSQL on Ubuntu.

I have deployed a solution on AWS cloud with PostgreSQL on Ubuntu. I would rate this review as highly positive based on my extensive experience and satisfaction with PostgreSQL on Ubuntu.

I am currently working with Prometheus for observability on top of a platform, making Prometheus my main tool. In my past project, I used Contentful as a headless CMS for content delivery.

I use standard Postgres and Prometheus in my current project, with no other tools of that sort for other use cases. The choice of database depends on the project, but mostly for any POC that I do, I choose Postgres because of its simplicity. In the AI world, it has pgvector, an index store that is good for RAG systems.

Basically, a transaction DB in our application as well as a vector store for our RAG pipeline is my central use case.

The good aspect about PostgreSQL on Ubuntu is the huge community support that we have. PostgreSQL on Ubuntu is open source software, and different teams have contributed to open source. So it is quite robust in providing a lot of things. If you think about on-the-fly aggregations, it also supports that. Distributed clusters are also supported. It is a tool that is right now very mature and able to handle a lot of use cases. Coming from a SQL background, PostgreSQL on Ubuntu is the standard tool that we use. Most of my use cases are sometimes POCs that I need to deliver. At that point, it is a no-brainer to just use PostgreSQL on Ubuntu because of its simplicity and familiarity.

The initial setup can be tricky. If you are going for some advanced things and have a lot of data, then you also have to think a lot about how to set up the cluster. The infrastructure of the cluster is something that you need to consider if you are hosting a lot of data. For a general use case, it is fine, but when it comes to scaling, you have to pay a little attention to the cluster. This is true for other search services as well, where you have to think about similar kinds of considerations. With Algolia, you did not have to worry because it was managed by the service layer itself. Since this is a more hands-on tool, once the data comes in and the volume is high, then you must also think about the infrastructure.

I have more than five years of experience with PostgreSQL on Ubuntu. My usage has been on and off.

I have not seen any stability issues with PostgreSQL on Ubuntu in my day-to-day work. Maybe something we have done to our services has caused the issue, but we have not seen a core PostgreSQL on Ubuntu issue. PostgreSQL on Ubuntu is quite stable.

If you are dealing with multiple regions and huge data with huge transactions per second, in that case, you have to set up the cluster. It is not impossible. You just need to know the right cluster settings to set it up.

I have used Amazon OpenSearch services as a tool for similar purposes.

PostgreSQL on Ubuntu is very easy in terms of installation and deployment.

I have not done it personally. My team has done it. My DevOps team has provisioned AWS instances as well as Azure instances. Under the hood, I do not know what I am dealing with. For me, it is just an IP address that I can SSH into and do it. Where the cloud is running, I know for sure they are using AWS and Azure interchangeably.

ACID transactions basically talk about write queries. Basically, if it is a distributed system, it makes sure that transaction consistency is there on each of the transactions that is happening. Think about if you are in a different geographic location and your cluster is hosted in two different geographic locations, maybe one in South Pacific and one in Western Europe. In both cases, if write transactions are happening, this is a good way to basically order the transactions so that the eventual data consistency is there.

With the basic version, you can very quickly do POCs. That is a very good ROI for that because suppose you have to do a demo in one week and you want to just quickly bootstrap some services and get the solution up. It is a very good service to do that. However, with different use cases, maybe different solutions are better. If you are going for an e-commerce solution where you have multiple filters available and you have to show aggregation, then a different type of query and a different type of database is needed.

I am not using the Algolia service. I have purchased something from AWS Marketplace.

I was just looking at a service called ClickHouse. ClickHouse also has a different type of database. It is a clickstream analysis database. What we are trying to do is instead of Prometheus, we are thinking of using ClickHouse in our project because of how fast it is. Under the hood, it does a different type of operations to do aggregations, sums, and other operations. Since it is a SQL-based query system, the familiarity is there.

My overall rating for PostgreSQL on Ubuntu is nine out of ten.

Public Cloud

Amazon Web Services (AWS)

The main purpose of using PostgreSQL on Ubuntu is to store user data, products, and their details. I used it in my client's project called Partscify, which is an auto parts company. In that project, it was very important to relate vehicles and products to each other, and I used PostgreSQL on Ubuntu because it is a well-known relational database. I could have used Supabase and Firebase, but PostgreSQL is very stable on Ubuntu, which is why I preferred it for my Partscify project. I am also using it in another client's project that is a religious app, and I have been using it on one of my projects called Nexera, which is an e-commerce online store. PostgreSQL on Ubuntu was a good fit for all these projects.

When I used PostgreSQL on Ubuntu in my Partscify project, I had to go through an end-to-end process from my laptop's environment to a production-grade environment for real users. The major challenge was linking PostgreSQL on Ubuntu with my backend code. I had to create a separate container for PostgreSQL with PostgreSQL itself installed on it and linked with environment variables. Then I linked my Partscify web container to route the Partscify database container to fetch the data and display it on the front end. Managing PostgreSQL on Ubuntu at the production level was a bottleneck, but overall, it was a good experience and I learned a lot.

PostgreSQL on Ubuntu encompasses all three attributes I value. It is very easy to use because I studied database courses in my university, and it is purely SQL. I was familiar with relational databases and more comfortable using PostgreSQL on Ubuntu because I could link different models together, such as product model to order, order item, and vehicle to product. The major factor was relational databases. I do not have experience with non-relational databases such as MongoDB, but I preferred PostgreSQL on Ubuntu because it also helped me understand SQL and it supported my university coursework. Additionally, it is a very secure database, and I have added multiple security layers such as Nginx for routing and middlewares to prevent intrusions on my database. I am also planning to increase the level of security further.

I used hashing in my admin login portal with PostgreSQL on Ubuntu, where everything was hashed along with the user ID and passwords. Guessing the password becomes difficult because it is already hashed using bcrypt.js and SHA-256. Prisma itself is very helpful in creating a security layer because it automatically detects SQL injections and other types of security intrusions. Since I have been using AWS for my deployments, AWS is also a very secure service. All of these security layers made my project secure from external intrusions and unauthorized access.

PostgreSQL on Ubuntu can be improved by providing proper guidance about how to link database containers with each other, especially when working with Docker. There should be proper guidance about linking PostgreSQL on Ubuntu with servers so we can save time.

PostgreSQL on Ubuntu is very stable in terms of performance and query optimization, so it is already built very well and we do not have to struggle much. However, I would like to see some improvement in relational linking when we connect one model to another. We have to make bidirectional linking, which is not actually done in Microsoft SQL Server, so it could be generalized.

I have been using PostgreSQL on Ubuntu for around six months.

This was my first ever full-stack web project, and I used PostgreSQL on Ubuntu. In the future, I will use Supabase and Firebase if needed. PostgreSQL on Ubuntu is very stable.

I have developed an architecture where if the number of users exceeds in my system, I will scale horizontally by creating more containers for user handling. However, I have not implemented it yet, but I have kept these considerations in mind.

I have never contacted customer support for PostgreSQL on Ubuntu.

I wanted to have an elite level experience of managing the database on my own while using PostgreSQL on Ubuntu instead of using managed databases such as Supabase and Firebase. I wanted to learn in detail, and I also used Prisma along the way so that I do not have to write queries on my own. I just have to use the ORM module to establish a connection between PostgreSQL on Ubuntu and my backend via Prisma. I preferred this approach, and one factor was to save the cost of using Supabase or Firebase. PostgreSQL on Ubuntu runs locally, so we do not have to pay any cost.

I evaluated Supabase as well. My friend was using Supabase because it is easy to link. Supabase actually uses PostgreSQL on Ubuntu under the hood, but it provides a useful interface. However, I wanted to set up everything on my own from scratch, including Docker containerization and setting the database locally through my terminal. I explored Supabase as well.

This was my personal project, not a company project. I was working on it alone, and I saved money obviously because I did not have to use Supabase or Firebase. Time was also saved because I was already familiar with relational databases.

PostgreSQL on Ubuntu positively impacts my projects because I do not have to pay any database service provider for database services such as Supabase or Firebase. They charge for their services, but I do not have to pay anything. I just downloaded PostgreSQL on Ubuntu on my machine and used it accordingly. There was no pricing and cost involved in using PostgreSQL on Ubuntu.

You should try to have a good understanding of the needs of your project. If you do not want to take the headache of setting things on your own, use Supabase and other already-built services on top of PostgreSQL on Ubuntu. If you really want to understand the system-level database architecture, then you must go with it, gain experience, and get your hands dirty with it.

I utilized a lot of my time in understanding how to link PostgreSQL on Ubuntu with my web container, how I would access my database data, and how I would perform migrations. I have been using Microsoft SQL Server, so the syntax was a bit different for me, particularly UUID and other things that are not present in Microsoft SQL Server. This was my first project on PostgreSQL on Ubuntu, and I have been working on four projects currently, so I will need to gain more experience to give it a ten out of ten rating.

I would suggest going through information about its production-level capabilities first and studying its syntax, how to write schema, and how to link things with each other. If you are using Prisma along with it, check out the syntax of Prisma regarding how to use it and how Prisma generates optimized queries under the hood for fetching data from the database. I have rated this review eight out of ten overall.

I was using a SaaS version of PostgreSQL on Ubuntu on both on-cloud and on-prem environments. We have a test server that is on-prem and certain production servers which are on the cloud. We use a mix of everything that works best for our needs. For example, we used an on-prem PostgreSQL on Ubuntu for the test server, but for production, we are using the cloud.

PostgreSQL on Ubuntu was used on Ubuntu for the backend of a lot of software. For example, the e-commerce software was built on top of PostgreSQL on Ubuntu.

One of the most important points about PostgreSQL on Ubuntu is that it is free. We do not have to worry about cost per core. It is a fully-featured database that supports a lot of features that modern applications need. In fact, it even supports document-based databases. It is quite a powerful solution.

The performance of PostgreSQL on Ubuntu's parallel query executions was very good. That is why we selected the solution.

We utilize ACID transactions with PostgreSQL on Ubuntu.

ACID transactions impact our data reliability in our work significantly. Reliability is very important and ACID helps us reach that goal. Regarding isolation specifically, our application did not require any specific isolation of transactions, but overall, ACID is still very important.

I did notice one downside about PostgreSQL on Ubuntu. Certain queries were not behaving in the same way that SQL Server was handling those queries. I found the handling of those queries done by SQL Server was slightly better than PostgreSQL on Ubuntu.

Maybe it makes more sense to use AI for configuration in future updates of PostgreSQL on Ubuntu so that the database is automatically optimized for the best performance for a given hardware. AI could be used for this purpose.

I have been using PostgreSQL on Ubuntu for several years now.

PostgreSQL on Ubuntu is a stable solution.

Before PostgreSQL on Ubuntu, I worked with MySQL and SQL Server.

We switched from MySQL to PostgreSQL on Ubuntu because PostgreSQL was giving us the features that we needed for free. If you have a paid solution that works well and you have a free solution that also works well, the obvious choice is the free solution because it works very well and it is free.

The deployment of PostgreSQL on Ubuntu was quite straightforward.

The deployment took approximately one day.

Only one person was involved in the process of deployment for PostgreSQL on Ubuntu.

For the Software as a Service version, we were using PostgreSQL on Ubuntu and paid some amount. It was not a very large amount for PostgreSQL on Ubuntu. We were on the lowest tier, so it was around $5 or something.

I cannot remember any specific example of using MVCC, but it is quite an important part of PostgreSQL on Ubuntu. It is a good-to-have feature.

I am satisfied with PostgreSQL on Ubuntu. We have worked with various databases including SQL Server and MySQL, but I found PostgreSQL on Ubuntu to be the most cost-effective and most performance-friendly solution. My rating for PostgreSQL on Ubuntu is 10.

Hybrid Cloud

Amazon Web Services (AWS)

My main use case for PostgreSQL on Ubuntu is for storing the database, and I'm using Ubuntu because it is open source. Like multiple operating systems, it will support it because one of my friends and teammates has a MacBook. So, we cannot use the normal one.

A specific example of how I use PostgreSQL on Ubuntu in my work is in my project titled a student management and faculty leave student rating management system and faculty leave management system. Here I am working on a project where students are applying, students can give ratings for the faculties, and faculties can apply for leave applications for the admin side or as their upper faculty. I am storing the SQL data, such as creating the tables and this kind of data in PostgreSQL. As I mentioned, my friend's laptop is a MacBook, so we are creating PostgreSQL on Ubuntu. During my internship, I used PostgreSQL to handle structured data and perform operations such as joining, indexing, and data retrieval. I find it very stable and efficient when working with a large database. Additionally, there is no limit for the operating system because it is supported in all operating systems, with maximum database being unlimited RAM and unlimited database size. The license is open source, so it is easy to use. Installation is straightforward, and I can access the database easily. We can also create our own user and database. We can easily manage the database, and we can use NoSQL data as well.

The best features PostgreSQL on Ubuntu offers in my experience are zero cost, because it is totally free and has no limits from any user. I can easily understand this kind of SQL. Additionally, the maximum database is free and open source, as I mentioned. It has strong performance with large datasets and huge databases, runs smoothly on Ubuntu, and remains stable across all operating systems. It supports advanced features such as JSON and XML, and provides better control.

These features make my work easier and more efficient because some databases do not support JSON. For example, SQL Server 2014 will only support XML datasets, not JSON. Nowadays, we are storing our data or extending our data with JSON files, so PostgreSQL is easy to use for these needs. Furthermore, PostgreSQL is better because it provides backup functionality such as the pg_dump utility, allowing us to easily take backups from the PostgreSQL on Ubuntu database. We can also add extensions and enhance features. Overall, PostgreSQL on Ubuntu is a powerful and reliable database management system; it is easy to use and good for students who want to move beyond basic and industry-level skills.

PostgreSQL on Ubuntu has positively impacted my organization in terms of saving my time within my college project. It is easy to learn and understand how it is used, with easy installation and ease of use as it is a free and open-source tool, which means there is no need to pay any money or deal with licensing costs.

PostgreSQL on Ubuntu can be improved by providing some inbuilt AI agent mode, as nowadays many applications are offering such features. The installation process can sometimes be confusing for new users, as it mostly relies on terminal commands where a small mistake can create issues. A more guided and simplified installation process would be helpful, along with improved documentation so users can easily install and use it. Additionally, we can enhance GUI support and modify the GUI design of the tool. Tools such as pgAdmin are available, but they are not always smoothly integrated, so a more seamless graphical interface could be beneficial. Clear error messages and troubleshooting support are also necessary.

I have used PostgreSQL on Ubuntu in my college project but I do not know exactly how long I have been using it.

PostgreSQL on Ubuntu is stable in my experience because at one time there are more than one user using PostgreSQL on Ubuntu, and it properly provides answers to every user. It is scalable for the users.

PostgreSQL on Ubuntu is completely scalable.

Customer support for PostgreSQL on Ubuntu is good, and I find it satisfactory.

Before using PostgreSQL on Ubuntu, I first used MySQL on Ubuntu for a different project. I switched because PostgreSQL was suited for different kinds of projects I was working on.

I saved time due to the ease of installation, but I did not have the chance to compare it to other databases I have tried in detail.

PostgreSQL on Ubuntu is deployed for my projects as I am using it as a user for my college project, but I do not know how my organization uses the PostgreSQL server on Ubuntu.

I have seen a return on investment because if someone purchases the functionality, they will find it investable due to the many features it provides and the overall better product. However, as I have not done any purchasing myself, I cannot say it is perfect; I can say it is better based on what I am aware of.

My experience with pricing, setup cost, and licensing for PostgreSQL on Ubuntu is based on the fact that I am using it as a free source, free open source. Therefore, I have never needed to consider pricing or licensing.

I did not evaluate other options before choosing PostgreSQL on Ubuntu, as I was not looking into other alternatives.

I would add that compared to other tools, PostgreSQL is perfect. It is open source and free, has strong performance, and good stability. It has advantages for JSON, XML, indexing, and is better for stored procedures and triggers while being good for real-world applications in large datasets and backend development.

My advice for others looking into using PostgreSQL on Ubuntu is that if you need to store structured and non-structured data while utilizing modern features, you can use PostgreSQL because it is perfect for storing databases, especially when handling JSON and XML files. It is simply the best. I would rate my overall experience with PostgreSQL on Ubuntu as an 8 out of 10.

On-premises

Other

My main use case for PostgreSQL on Ubuntu is to store data, especially telemetry data and customer data. I had a client whose telemetry data was coming online on one of their on-premises devices. I proposed spinning off an instance of PostgreSQL on Ubuntu on one of the incidents and used it to store on-premises data. The main objective was to keep the data on-premises for that particular device and that particular infrastructure. This helped me to keep the data on-premises rather than on cloud.

We also proposed PostgreSQL on Ubuntu on our onsite databases as well. It helped us to analyze our data in near-real-time, which was a very good use case.

PostgreSQL on Ubuntu offers data caching, on-premises data storage, data security, and I can write, store, and analyze data on the PostgreSQL on Ubuntu instance. That is really helpful for me.

I rely on on-premises and data caching the most because data caching helps to reduce the latency for any systems I develop. On-premises makes data security and data privacy its utmost goal, and both of them are maintained.

PostgreSQL on Ubuntu has definitely impacted my organization to analyze their data. Some of the clients for my particular organizations are preferring on-premises data storage. PostgreSQL on Ubuntu gives me the ability to help them keep their data on-premises, but at the same time, I can go onto their jump host to their servers and analyze their data. That is really helpful.

Data caching, particularly PostgreSQL on Ubuntu data caching, helped to reduce our average latency. When I was making a few data analytics, I got to know that PostgreSQL caching helped me to save five milliseconds of latency on every call, which is a lot for user experience as well as productivity. That is very helpful.

PostgreSQL on Ubuntu can be improved by adding more diverse components and ad hoc features like data analysis and data analysis models on-premises. For example, creating Jupyter notebooks or analyzing data directly on PostgreSQL would be a much nicer use case rather than just having a simple database. Adding capabilities of AI as well as RAG as well as MCT would really help PostgreSQL on Ubuntu nowadays.

PostgreSQL on Ubuntu's accuracy and reliability of output is pretty naive from my perspective. It should be more controlling and more customizable.

I have been using PostgreSQL on Ubuntu for five years.

PostgreSQL on Ubuntu is stable in my experience.

I would rate PostgreSQL on Ubuntu's scalability a ten out of ten as I find it very amazing. It can be easily scalable with Docker and Kubernetes.

I think the customer support for PostgreSQL on Ubuntu is very nice. I really didn't have to go with customer support at any time, but I think it would be nice.

I didn't use any other solution before PostgreSQL on Ubuntu. I just used PostgreSQL on Ubuntu.

The pricing was pretty decent for PostgreSQL on Ubuntu. I really appreciated it.

I would say money saved and time saved are the most viable buy-ins to use PostgreSQL on Ubuntu because it really helped me to drill down the cost of employees as less workforce is needed.

We evaluated Oracle DB, but while Oracle DB is good, at the same time, it is pretty naive compared to PostgreSQL on Ubuntu.

I would rate PostgreSQL on Ubuntu an eight out of ten. The pace of development is very high. Adding these new features like data science models, semantic models, as well as AI capability would be really better if it were on PostgreSQL on Ubuntu.

PostgreSQL on Ubuntu's governance and security is really nice. I love the governance and security that PostgreSQL provides. That is my best buy-in for PostgreSQL on Ubuntu.

If you are really looking into some data management systems that are much more lightweight as well as capable and higher in performance, you should definitely go with PostgreSQL on Ubuntu. I gave this review a rating of eight out of ten.

On-premises