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MariaDB vs PostgreSQL comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jun 3, 2026

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
6.6
MariaDB offers cost savings, secure AI data handling, SQL integration, and community-driven features, benefiting up to 90% of users.
Sentiment score
6.7
PostgreSQL offers cost savings and rapid ROI with free open-source capabilities, ideal for startups and growing enterprises.
Since it handles vector storage and similarity searches natively alongside your relational data, I can seamlessly combine precise SQL filters with vector queries, which guarantees that the data retrieved for my AI application is always up-to-date and consistent.
Developer at a educational organization with 51-200 employees
 

Customer Service

Sentiment score
6.2
MariaDB offers enterprise support but most users rely on clear documentation and community assistance to resolve issues.
Sentiment score
6.7
PostgreSQL support is strong with community forums, detailed documentation, and high-rated resources, offering both free and paid options.
They came and tuned our queries with one-to-one assistance.
Architect at LTIMindtree
Compared to MongoDB, there are some platform deficiencies, but the support team shouldn't bear that burden.
Co-Founder at Vsigma IT Labs Pvt Ltd
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.
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.
Software Engineer – Rust Systems & AI Evaluation at Turing
 

Scalability Issues

Sentiment score
6.8
MariaDB is scalable, excelling in small to medium setups but needing extra tools and configuration for larger environments.
Sentiment score
7.4
PostgreSQL is highly scalable, handling large on-premise or cloud deployments effectively, supporting high transactions and growing user demands.
A specific challenge I have faced is troubleshooting performance degradation during heavy write transaction tables.
Developer at a educational organization with 51-200 employees
Now, we are doing the same level of transactions in PostgreSQL, around 100,000 transactions, and we are getting good throughput with no latency.
Data Science Architect at publicis Sapient
 

Stability Issues

Sentiment score
7.7
MariaDB is stable and reliable, though specific configurations like clustering may pose occasional stability issues.
Sentiment score
8.0
PostgreSQL is praised for its stability and reliability, outperforming MySQL, with issues mainly from misconfiguration, not intrinsic faults.
We haven't found issues with the stability of MariaDB.
Co-Founder at Vsigma IT Labs Pvt Ltd
I have never seen any performance issue in PostgreSQL.
Data Science Architect at publicis Sapient
 

Room For Improvement

MariaDB enhances integration and UI but needs improved stability, replication, views, BI tool integration, and complex query performance.
PostgreSQL users seek improvements in interface, performance, scalability, integration, documentation, and support for large-scale real-time applications.
MariaDB is scalable and easy to scale.
Co-Founder at Vsigma IT Labs Pvt Ltd
Oracle is very advanced compared to MariaDB, and those advanced features are not available in MariaDB.
Architect at LTIMindtree
The key area where MariaDB could be improved is its native GUI tooling; while the command-line interface works perfectly fine, the built-in visual tools for administration, management, and query design feel outdated compared to some competitors.
Developer at a educational organization with 51-200 employees
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.
Software Engineer at GSS Academy, Noida
If I need to increase the dimension to 3,000 or 5,000, that option should be available.
Data Science Architect at publicis Sapient
 

Setup Cost

MariaDB is a cost-effective, open-source database solution offering a free Community Edition and affordable enterprise alternatives to Oracle.
PostgreSQL offers cost-effective scalability and flexibility with zero licensing fees, though setup and support may incur additional costs.
MariaDB is in the pricey range, especially for huge databases handling terabytes of data.
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.
Software Engineer – Rust Systems & AI Evaluation at Turing
 

Valuable Features

MariaDB is reliable and scalable, offering open-source benefits, SQL compliance, excellent performance, and broad community support for various needs.
PostgreSQL excels in spatial support, high availability, JSONB handling, integration, scalability, and community-driven advanced features for diverse applications.
Encryption is available in MariaDB, so we are secure for transmitting data without concern about moving over networks.
Architect at LTIMindtree
Being able to store unstructured JSON directly into a column while still using standard SQL functions such as JSON_EXTRACT to query specific keys has saved me from having to constantly alter our database schemas.
Developer at a educational organization with 51-200 employees
Configuration, setup, and schema design are good features in MariaDB.
Co-Founder at Vsigma IT Labs Pvt Ltd
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.
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.
Software Engineer – Rust Systems & AI Evaluation at Turing
 

Categories and Ranking

MariaDB
Ranking in Open Source Databases
8th
Average Rating
8.2
Reviews Sentiment
6.7
Number of Reviews
62
Ranking in other categories
Relational Databases Tools (9th)
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 July 2026, in the Open Source Databases category, the mindshare of MariaDB is 5.6%, down from 6.7% compared to the previous year. The mindshare of PostgreSQL is 13.0%, down from 17.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Open Source Databases Mindshare Distribution
ProductMindshare (%)
PostgreSQL13.0%
MariaDB5.6%
Other81.4%
Open Source Databases
 

Featured Reviews

AB
Co-Founder at Vsigma IT Labs Pvt Ltd
Has supported web application data needs but requires design adjustments to manage complex queries efficiently
Complex queries in MariaDB where the query needs to parse thousands of lines or data values face some performance issues. For small and medium-size volume, it is pretty good. If it goes beyond certain data and complex queries, we see performance issues. We tried the advanced replication feature between different regions, replicating data specifically residing on MariaDB to two different regions of MariaDB data, and there were some technical snags in terms of slowness and longer processing time. Point-in-time recovery in MariaDB is good for small databases. When data volume increases beyond 5 GB or 10 GB per day or runs into double-digit GBs, we found some performance issues. For data below 10 GB, it works fine. Performance is the primary focus area for MariaDB, particularly during transactions or complex query jobs where slow performance is observed. MariaDB is scalable and easy to scale.
Shobhit Goel - PeerSpot reviewer
Data Science Architect at publicis Sapient
High-volume transactions have reduced failures and improve customer service efficiency
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
Computer Software Company
11%
Comms Service Provider
9%
Financial Services Firm
9%
University
8%
Financial Services Firm
11%
Comms Service Provider
10%
Computer Software Company
10%
Outsourcing Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business28
Midsize Enterprise12
Large Enterprise26
By reviewers
Company SizeCount
Small Business58
Midsize Enterprise26
Large Enterprise49
 

Questions from the Community

What is your experience regarding pricing and costs for MariaDB?
MariaDB is in the pricey range, especially for huge databases handling terabytes of data. The cost depends on the volume of data and different features enabled during configuration, such as backup ...
What needs improvement with MariaDB?
The key area where MariaDB could be improved is its native GUI tooling; while the command-line interface works perfectly fine, the built-in visual tools for administration, management, and query de...
What is your primary use case for MariaDB?
My main use case for MariaDB was web applications, and I have been using MariaDB for just about a year now as I was in the development team. A specific web application where I used MariaDB is a hea...
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 purchased from the marketplace, so licensing and pricing cost is acceptable. To be honest, there is a separate team who handles the cost of licensing everything. I have admin access on Azure and ...
What needs improvement with PostgreSQL?
The only thing for PG vector is if the dimension limit could be increased. Currently, the dimension limit is around 1,000 to 1,052. If I need to increase the dimension to 3,000 or 5,000, that optio...
 

Comparisons

 

Overview

 

Sample Customers

Google, Wikipedia, Tencent, Verizon, DBS Bank, Deutsche Bank, Telefónica, Huatai Securities
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
Find out what your peers are saying about MariaDB vs. PostgreSQL and other solutions. Updated: June 2026.
906,418 professionals have used our research since 2012.