MongoDB Enterprise Advanced vs PostgreSQL comparison

MongoDB Enterprise Advanced

Read 128 PostgreSQL reviews

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96% willing to recommend

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Executive SummaryUpdated on Jun 3, 2026

PostgreSQL and MongoDB Enterprise Advanced compete in the database category. PostgreSQL seems to have the upper hand in structured data environments due to its ACID compliance and strong community support, while MongoDB excels in flexibility and scalability for document-based use cases.

Features: PostgreSQL supports advanced data types, JSON compatibility, and multi-version concurrency control, making it suitable for complex queries. MongoDB Enterprise Advanced is advantageous for handling large datasets, non-relational data, and offers rich document storage capabilities.

Room for Improvement: PostgreSQL could enhance user-friendliness, improve scalability for high availability, and offer better GUI tools. MongoDB Enterprise Advanced could benefit from better transaction management, improved stability in large-scale environments, and easier query handling for complex joins.

Ease of Deployment and Customer Service: PostgreSQL offers flexible deployment options, including on-premises and various cloud setups, with strong community support. MongoDB Enterprise Advanced supports similar environments, enhanced by MongoDB Atlas for cloud-based management, and provides structured enterprise support.

Pricing and ROI: PostgreSQL is open-source, offering high ROI due to no licensing costs. MongoDB Enterprise Advanced, while offering free options, has enterprise-priced features that are justified by its scalability and capabilities, giving it a strong ROI for handling unstructured data.

To learn more, read our detailed MongoDB Enterprise Advanced vs. PostgreSQL Report (Updated: August 2026).

MongoDB Enterprise Advanced vs. PostgreSQL

August 2026

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

ROI

Sentiment score

5.0

Users report varied ROI from MongoDB Enterprise Advanced, with some benefiting and others finding measurement difficult, considering alternatives.

Sentiment score

6.7

PostgreSQL offers cost savings and rapid ROI with free open-source capabilities, ideal for startups and growing enterprises.

Actually, with MongoDB, it's difficult to calculate the return on investment; it's too expensive for our use.

Architecte Cloud at Visiativ SA

I would say we see value in money and return on investment with MongoDB Enterprise Advanced.

For more quotes and insights, download the MongoDB Enterprise Advanced report

Co-Founder at Vsigma IT Labs Pvt Ltd

No quotes available

For more quotes and insights, download the PostgreSQL report

Customer Service

Sentiment score

6.2

MongoDB Enterprise Advanced offers prompt support for paid users, while Community Edition relies on self-help and community resources.

Sentiment score

6.7

PostgreSQL support is strong with community forums, detailed documentation, and high-rated resources, offering both free and paid options.

We have received fairly good support whenever we reached out to the technical teams; they were prompt.

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Co-Founder at Vsigma IT Labs Pvt Ltd

I think they resolved it, but it was very long.

Romel Jr Zerna

Software Engineer at Pioneer Dev AI

If PostgreSQL is hosted on cloud services such as Amazon RDS or Google Cloud SQL, the support is handled by the cloud provider, who provides automated backups, monitoring, infrastructure management, and technical support tickets.

AyushVerma

Software Engineer at GSS Academy, Noida

Overall, we have a very small customer service team and a good engineering team with no overburden or bandwidth issues.

Data Science Architect at publicis Sapient

For customizations and extensions, the community is very active and useful.

For more quotes and insights, download the PostgreSQL report

Software Engineer – Rust Systems & AI Evaluation at Turing

Scalability Issues

Sentiment score

7.5

MongoDB Enterprise Advanced is praised for its high scalability and adaptability, despite some limitations and cost implications.

Sentiment score

7.4

PostgreSQL is highly scalable, handling large on-premise or cloud deployments effectively, supporting high transactions and growing user demands.

In CosmoDB, the scalability is much better than with the MongoDB ReplicaSet models.

Architecte Cloud at Visiativ SA

MongoDB is highly scalable.

For more quotes and insights, download the MongoDB Enterprise Advanced report

Head Of Data Science at Mjunction Services

Overall, on a scale of one to ten, I would rate MongoDB an eight; it's mostly because we're still running a monolithic environment on old hardware, so there are some limitations with read-write access.

Cameron-Bashaw

General Manager at Lytwave

Now, we are doing the same level of transactions in PostgreSQL, around 100,000 transactions, and we are getting good throughput with no latency.

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Data Science Architect at publicis Sapient

Stability Issues

Sentiment score

7.6

MongoDB Enterprise Advanced is generally stable, reliable for backups, though performance may vary; rated seven to nine in stability.

Sentiment score

8.0

PostgreSQL is praised for its stability and reliability, outperforming MySQL, with issues mainly from misconfiguration, not intrinsic faults.

It's pretty much stable; we have not faced any major challenges or difficulties with MongoDB Enterprise Advanced.

For more quotes and insights, download the MongoDB Enterprise Advanced report

Co-Founder at Vsigma IT Labs Pvt Ltd

I have never seen any performance issue in PostgreSQL.

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Data Science Architect at publicis Sapient

Room For Improvement

MongoDB Enterprise Advanced can improve by enhancing security, support, integration, scalability, analytics, user interface, and mobile features.

PostgreSQL users seek improvements in interface, performance, scalability, integration, documentation, and support for large-scale real-time applications.

While solutions for other databases like SQL or PostgreSQL already exist, MongoDB requires additional integrations for developing AI solutions.

Head Of Data Science at Mjunction Services

We have not contracted the security options in our contract because they're too expensive; thus, we implement just encrypted databases and not the security pack.

Architecte Cloud at Visiativ SA

From the AWS standpoint, if robust integration and data warehouse integration specific tools are added in the advanced suite, that would definitely be helpful.

For more quotes and insights, download the MongoDB Enterprise Advanced report

Co-Founder at Vsigma IT Labs Pvt Ltd

PostgreSQL remains a strong choice for enterprise applications due to its stability, extensibility, and SQL standards compliance.

Software Engineer – Rust Systems & AI Evaluation at Turing

Query optimization improves slow queries by using proper indexes, avoiding unnecessary joins, and using EXPLAIN ANALYZE to inspect query plans.

AyushVerma

Software Engineer at GSS Academy, Noida

If I need to increase the dimension to 3,000 or 5,000, that option should be available.

For more quotes and insights, download the PostgreSQL report

Data Science Architect at publicis Sapient

Setup Cost

MongoDB Enterprise Advanced offers cost-effective pricing with various editions and support, valued by small businesses for enterprise transition.

PostgreSQL offers cost-effective scalability and flexibility with zero licensing fees, though setup and support may incur additional costs.

We use the free version of MongoDB, so there are no licensing costs.

Head Of Data Science at Mjunction Services

We have to pay approximately 2,000 euros per month for MongoDB.

Architecte Cloud at Visiativ SA

For a small company, the cost of MongoDB Enterprise Advanced is reasonable, but for heavy data usage, we see a little bit of cost pressure but it's acceptable.

For more quotes and insights, download the MongoDB Enterprise Advanced report

Co-Founder at Vsigma IT Labs Pvt Ltd

Even with doing 100,000 transactions right now within PostgreSQL, we are happy with PostgreSQL and not seeing that it is expensive or going out of budget.

Data Science Architect at publicis Sapient

The managed PostgreSQL itself is open source with no license fees.

For more quotes and insights, download the PostgreSQL report

Software Engineer – Rust Systems & AI Evaluation at Turing

Valuable Features

MongoDB Enterprise Advanced provides scalable, stable, and flexible data management with advanced analytics, NoSQL features, and comprehensive security.

PostgreSQL excels in spatial support, high availability, JSONB handling, integration, scalability, and community-driven advanced features for diverse applications.

It offers flexibility in schema adaptation, allowing us to change the schema and add new data points.

Head Of Data Science at Mjunction Services

In ReplicaSet, it's acceptable, but if your workload needs more performance, and you must pass to a Sharding model, it becomes complicated in MongoDB; in Cosmos DB, however, it's simple.

For more quotes and insights, download the MongoDB Enterprise Advanced report

Architecte Cloud at Visiativ SA

MongoDB has definitely helped us improve our network monitoring and reporting dashboard.

Cameron-Bashaw

General Manager at Lytwave

PostgreSQL improves reliability, performance, and scalability in production. Since it is ACID compliant, it ensures that database transactions are safe and consistent, preventing partial data updates, maintaining data integrity, and allowing multiple users to read or write data simultaneously using MVCC.

AyushVerma

Software Engineer at GSS Academy, Noida

The best feature is performance, because of which I decided on PostgreSQL.

Data Science Architect at publicis Sapient

Its robustness and reliability are incredible and stable, which is crucial for critical data, especially with AI model outputs.

For more quotes and insights, download the PostgreSQL report

Software Engineer – Rust Systems & AI Evaluation at Turing

Categories and Ranking

MongoDB Enterprise Advanced

Ranking in Open Source Databases

7th

Average Rating

8.2

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

NoSQL Databases (2nd), Managed NoSQL Databases (6th)

PostgreSQL

Ranking in Open Source Databases

2nd

Average Rating

8.4

Reviews Sentiment

7.4

Number of Reviews

128

Ranking in other categories

Vector Databases (7th)

Mindshare comparison

As of August 2026, in the Open Source Databases category, the mindshare of MongoDB Enterprise Advanced is 6.5%, up from 4.0% compared to the previous year. The mindshare of PostgreSQL is 12.6%, down from 17.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Open Source Databases Mindshare Distribution
Product	Mindshare (%)
PostgreSQL	12.6%
MongoDB Enterprise Advanced	6.5%
Other	80.9%

Open Source Databases

Featured Reviews

Have managed customer transaction data efficiently and supported high-demand workloads with reliable performance

Co-Founder at Vsigma IT Labs Pvt Ltd

The integration between data warehouse could be improved. Nowadays, a lot of data is getting generated, so certain ETL flexible scripts with backend database integrations would be an improvement I could see. I will not be able to clearly say there is currently a deficiency there. All our DBs are integrated with a backend data warehouse, not necessarily AWS. When third-party data warehouses are integrated, we are seeing some ETL job performance issues. It is a one-off scenario so we have not thoroughly done any troubleshooting on that. It could be platform or third-party related issue. From the AWS standpoint, if robust integration and data warehouse integration specific tools are added in the advanced suite, that would definitely be helpful.

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High-volume transactions have reduced failures and improve customer service efficiency

Data Science Architect at publicis Sapient

The best feature is performance, because of which I decided on PostgreSQL. I have also enabled the PG vector plugin on top of PostgreSQL. I have the opportunity to use two different features and two different flavors in a single product, which is the best thing about PostgreSQL. Initially, we had some hiccups around the performance part, but later we did indexing in PostgreSQL and now it is working very well. Even when we are doing 100,000 transactions in a day, PostgreSQL is working excellently. The interface is another best feature. If I need to do any query, I simply install the plugin on my local, which is pgAdmin. Through pgAdmin, I am able to communicate with PostgreSQL and execute all my SQL queries. I am getting a better UI with PostgreSQL as the backend, which is also one of the best options. PG vector is also very strong from PostgreSQL where I have implemented RAG and on a daily basis, I inject thousands of pages of PDF. More than 100 PDFs are coming into my system and one PDF is around 1,000 pages. We are injecting them into PostgreSQL and converting them into dimensions and inserting them into PG vector. The level of transactions we are doing on a daily basis is substantial, and we are getting very good throughput and low latency from PostgreSQL. When we were doing more than 50,000 transactions in a minute with the previous database, we were getting a lot of latency issues with threads getting blocked and abruptly closed unwantedly. After doing extensive research, we decided to move to PostgreSQL. Now, we are doing around 100,000 transactions in PostgreSQL and we are getting good throughput with no latency.

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Top Industries

By visitors reading reviews

Financial Services Firm

15%

Manufacturing Company

Construction Company

Comms Service Provider

Financial Services Firm

11%

Comms Service Provider

Computer Software Company

Construction Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	36
Midsize Enterprise	13
Large Enterprise	39

By reviewers
Company Size	Count
Small Business	58
Midsize Enterprise	26
Large Enterprise	49

Questions from the Community

What is your experience regarding pricing and costs for MongoDB?

I think it depends on the provider. For example, on DigitalOcean, they have strict routing. You have to whitelist an IP address, or you risk getting DDoS. Then if you're going for the Atlas one tha...

What needs improvement with MongoDB?

I don't really have a deep dive into it, but I see that MongoDB Enterprise Advanced has RAG and Vertex support. However, we really didn't use it because I think one thing also is that Prisma, the O...

What is your primary use case for MongoDB?

A typical use case for MongoDB Enterprise Advanced is mostly for the database, storing our data.

How does Firebird SQL compare with PostgreSQL?

PostgreSQL was designed in a way that provides you with not only a high degree of flexibility but also offers you a cheap and easy-to-use solution. It gives you the ability to redesign and audit yo...

What is your experience regarding pricing and costs for PostgreSQL?

I am not directly involved in the licensing or procurement decisions, so I cannot comment in detail on the price. From an engineering perspective, PostgreSQL is cost-efficient because it is open so...

What needs improvement with PostgreSQL?

While improving reliability, I have noticed that the limitations in PostgreSQL can be complex. For large-scale deployments, configuration, performance tuning, and related tasks can be complex and i...

MongoDB Atlas vs MongoDB Enterprise Advanced

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Compared 12% of the time

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Product Reports

MongoDB Enterprise Advanced

July 2026

Download MongoDB Enterprise Advanced product report

Download PostgreSQL product report

July 2026

Overview

MongoDB Enterprise Advanced is a comprehensive platform renowned for its scalability, user-friendliness, and high performance, underpinned by its flexible document-based storage and open-source model. JSON compatibility, clustering, and security elevate its standing among professionals.

The platform facilitates efficient data management through developer-friendly tools and a strong aggregation framework. MongoDB’s no-schema requirement, supported by community expertise, underlines its adaptability. While its sharding capabilities and affordably support large data volumes, there are aspects such as security enhancement and enterprise tool integration that need attention. Indexing and query optimization pose challenges, alongside high costs. Improvements in analytics and UI could advance its infrastructure further.

What are the key features of MongoDB Enterprise Advanced?

Scalability: Dynamic adjustments to workloads with ease.
JSON Compatibility: Seamless data structuring with JSON support.
Clustering: Enhanced data management through robust clustering.
Security Integration: Built-in security measures for data protection.
Sharding: Efficient distribution of large datasets.

What benefits should users look for in reviews?

Document-Based Storage: Flexibility in managing varied data types.
Open-Source: Access to a broad community and resources.
Low-Cost Implementation: Economic efficiency in deployment.
Scalability: Supports the growth of data without sacrificing performance.

Industries leverage MongoDB Enterprise Advanced for significant roles in data storage within IoT platforms, healthcare apps, public service monitoring, and big data analytics. Companies in logistics and telecommunications find it instrumental for business process management and video content management, benefiting from its seamless integration and unstructured data support.

MongoDB

PostgreSQL is a versatile and reliable database management system commonly used for web development, data analysis, and building scalable databases.

It offers advanced features like indexing, replication, and transaction management. Users appreciate its flexibility, performance, and ability to handle large amounts of data efficiently. Its robustness, scalability, and support for complex queries make it highly valuable.

Additionally, PostgreSQL's extensibility, flexibility, community support, and frequent updates contribute to its ongoing improvement and stability.

Sample Customers

Facebook, MetLife, City of Chicago, Expedia, eBay, Google

1. Apple 2. Cisco 3. Fujitsu 4. Instagram 5. Netflix 6. Red Hat 7. Sony 8. Uber 9. Cisco Systems 10. Skype 11. LinkedIn 12. Etsy 13. Yelp 14. Reddit 15. Dropbox 16. Slack 17. Twitch 18. WhatsApp 19. Snapchat 20. Shazam 21. SoundCloud 22. The New York Times 23. Cisco WebEx 24. Atlassian 25. Cisco Meraki 26. Heroku 27. GitLab 28. Zalando 29. OpenTable 30. Trello 31. Square Enix 32. Bloomberg