MongoDB Enterprise Advanced vs PostgreSQL comparison

MongoDB Enterprise Advanced

Read 125 PostgreSQL reviews

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96% willing to recommend

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Executive SummaryUpdated on Nov 2, 2025

PostgreSQL and MongoDB Enterprise Advanced are prominent competitors in the database management system category. PostgreSQL seems to have the upper hand when it comes to SQL compliance and support for complex queries, while MongoDB leads with its flexibility and scalability in handling unstructured data.

Features: PostgreSQL offers full ACID compliance, advanced SQL query capabilities, and robust adherence to SQL standards. It also provides asynchronous commit and is known for its scalability. MongoDB, on the other hand, excels with flexible schema design, developer-friendliness, and seamless storage of unstructured data, paired with strong replication and scalability features.

Room for Improvement: PostgreSQL may face challenges with large-scale read operations and lacks features like multiple storage engines. It could also improve installation simplicity and analytics functionality. MongoDB might enhance indexing and make transitions easier for SQL users. Security features specific to enterprise needs can also see advancements.

Ease of Deployment and Customer Service: PostgreSQL provides cost-effective deployment through its open-source nature with community support, yet lacks centralized professional support. MongoDB Enterprise Advanced offers structured professional support and is adaptable to various environments, including cloud, which is beneficial for enterprises seeking comprehensive solutions.

Pricing and ROI: PostgreSQL presents a zero-cost licensing model, positioning itself as a budget-friendly choice for businesses not needing dedicated support. MongoDB Enterprise Advanced's subscription models imply higher pricing but may offer a favorable return on investment for projects requiring its advanced scalability and flexibility features.

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

MongoDB Enterprise Advanced vs. PostgreSQL

February 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:

Categories and Ranking

MongoDB Enterprise Advanced

Ranking in Open Source Databases

6th

Average Rating

8.2

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

NoSQL Databases (1st), Managed NoSQL Databases (4th)

PostgreSQL

Ranking in Open Source Databases

2nd

Average Rating

8.4

Reviews Sentiment

7.7

Number of Reviews

125

Ranking in other categories

Vector Databases (9th)

Mindshare comparison

As of February 2026, in the Open Source Databases category, the mindshare of MongoDB Enterprise Advanced is 5.1%, up from 4.3% compared to the previous year. The mindshare of PostgreSQL is 14.3%, down from 18.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Open Source Databases Market Share Distribution
Product	Market Share (%)
PostgreSQL	14.3%
MongoDB Enterprise Advanced	5.1%
Other	80.6%

Open Source Databases

Featured Reviews

Fabien GOUINEAU

Architecte Cloud at Visiativ SA

Offers reliable engine for legacy needs but requires enhanced cost management and AI features

While MongoDB is a good product, it is also an expensive product for support, and its scalability is acceptable, but the big problem with MongoDB is the cost. For security in MongoDB, we work with encrypted databases by default, but we have not contracted the security options in our contract because it is too expensive, so we only implement encrypted databases without the security pack, which is very expensive for us; in security, we are at the first steps, just using encrypted databases. I think additional features needed in MongoDB include perhaps vector databases, as I think they are not supported right now.

Read full review

Akhilesh Chipre

Senior Assosiate Consultant at Applied Materials

Real-time data capture optimizes database performance but Views create problems

One of the most valuable features is real-time data capture; it optimizes database performance. I think using real-time data capture reduces job running time and the amount of data sent at once with batch loads. Replicating the same data daily isn't optimal, so real-time reception improves application performance and reduces latency.

Read full review

Quotes from Members

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

Pros

"MongoDB's dashboards offer more functionalities and allow you to create a dashboard with MongoDB database data."

"The most valuable features of MongoDB include the flexible schema for storing data, its replication capabilities with high availability through a replica set setup, and horizontal scalability using sharding."

"One of the most valuable features is the ability to Text Search can be used anywhere and anytime."

"Its flexibility, and cost. It is reasonably priced."

"One of the biggest benefits is the speed and flexibility of the documents, especially when it comes to modifications."

"We decided to work with MongoDB as its interface is easier to understand and more universal."

"MongoDB is easy to use."

"MongoDB's dashboards offer more functionalities and allow you to create a dashboard with MongoDB database data."

More MongoDB Enterprise Advanced pros

"The performance is good."

"The solution provides complete support in terms of the SQL dialect and behaves nicely when it comes to transactions."

"The solution is open-source and free to use."

"This is an open-source solution, operates at a high speed, and supports more than one SQL language."

"The product is very similar to the SQL Server."

"The main value is that it is open source, which means it is free. Our organization has the initiative to go to open source to cut down on cost. Oracle costs us $6 million a year right now, which is killing us, and Postgres costs nothing. So, there is a big push to go to Postgres."

"It is very simple to manage."

"We managed to reduce the storage space needed to 10% of the original size, without affecting data integrity, and we significantly improved the performance."

Cons

"The free tools, like MongoDB Compass, could be enhanced."

"It would be good to have scalability for clusters. For example, if we have three clusters, we should be able to increase to five clusters if required. I am not sure if such a feature is currently there. I hope there is good documentation for this."

"It should have GUI for managing clusters. MongoDB needs a more powerful GUI to manage clusters and make switchovers. Currently, there is no good, free tool to check the replication to find out if there is a gap."

"I feel that most people don't know a lot about MongoDB, so maybe they could add some more documentation and tutorials."

"It is important to note that MongoDB has limitations since it can only be used for specific use cases. For example, for master data, I would want to pick keys using an RDBMS, but for attachments, I would choose MongoDB."

"A normal Oracle or database tester will take some time to gear up to MongoDB because the way of writing queries is different in MongoDB. There should be some kind of midway where a person who is coming from an Oracle background can write a query and get a response by using something like a select * statement or other such things. There should be some way for MongoDB to interpret these commands rather than making a person learn MongoDB commands and writing them. I struggled while writing these MongoDB commands. I had not seen such queries before. It was pretty difficult to get them. This is one of the areas where it would help from the improvement standpoint."

"MongoDB should incorporate more features, particularly search functionality, and real-time communication capabilities, to improve the database and provide data listening services. Currently, we rely on the Atlas offering, but it would be fantastic if MongoDB could develop a new solution or updated version that includes these features within its internal database and driver. However, I am uncertain if this would be a viable or profitable move for them, and I am speaking from a mobile-centric viewpoint."

"MongoDB should better support small and medium companies. There are a lot of clients out there that are interested, however, they need something lighter and less complex and something not so expensive upfront."

More MongoDB Enterprise Advanced cons

"PostgreSQL could improve by being more user-friendly. In SQL Server they have a studio where you can easily do management but not in this solution."

"The pricing could be better."

"PostgreSQL doesn't have a feature for temporal SQL, which is useful for gathering versions of data. This feature should be included in PostgreSQL. This feature is available in MariaDB, SQL Server, Oracle Database, and DB2."

"The performance of PostgreSQL could improve."

"PostgreSQL’s performance could be improved."

"I'd like to see better memory management. I think that that's one of the few areas that Postgres does not handle as well as MySQL does or did."

"When you get a large number of records in a database and start doing various queries, it can adversely impact the performance of the live running systems. That's an area we continue to look at and mean to improve, but it is not only because of PostgreSQL. It is also because of the way the schemas are put together, and certain events are triggered. So, it is because of both parties."

"Sometimes, the views create problems. If you don't have the view, sometimes what happens is you need to have the drivers properly set up for PostgreSQL."

Pricing and Cost Advice

"I only used the open-source version."

"I currently use the solution's community edition which is free."

"I'm using the free version of MongoDB."

"You only have to pay for the paid version, not the open-source version."

"The solution is open source so is free."

"If you want support with the solution you will need to purchase a license and not use the open-source version. The license is a little expensive."

"MongoDB is an open-source solution."

"There are different licenses available to be purchased, such as individual, premium, or enterprise."

More MongoDB Enterprise Advanced pricing and cost advice

"PostgreSQL is a free and open-source database."

"We do not pay for licensing."

"PostgreSQL is open-source, so if capable admins are available then the setup cost can be $0."

"Our company pays for it. There are free versions available, but for advanced features, you obviously have to pay."

"The need for our customers to pay for licences is contingent on their projects and budgets."

"The community version of Postgre is basically free."

"It is free. In terms of operating costs, it basically needs the same platform on which Oracle runs."

"The solution requires a license."

Top Industries

By visitors reading reviews

Financial Services Firm

14%

Computer Software Company

Manufacturing Company

University

Computer Software Company

13%

Financial Services Firm

11%

Comms Service Provider

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	35
Midsize Enterprise	13
Large Enterprise	38

By reviewers
Company Size	Count
Small Business	57
Midsize Enterprise	26
Large Enterprise	46

Questions from the Community

What do you like most about MongoDB?

MongoDB's approach to handling data in documents rather than traditional tables has been particularly beneficial.

What is your experience regarding pricing and costs for MongoDB?

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. I will not be able to elaborate on th...

What needs improvement with MongoDB?

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 ...

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 do you like most about PostgreSQL?

It's a transactional database, so we use Postgres for most of our reporting. That's where it's helping.

What is your experience regarding pricing and costs for PostgreSQL?

The tool is free of cost. For now, it's not about making money. But once we perfect it, we can offer it to customers willing to pay for support and other services. Most of my deployments are free.

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Product Reports

MongoDB Enterprise Advanced

January 2026

Download MongoDB Enterprise Advanced product report

Download PostgreSQL product report

January 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