MongoDB Enterprise Advanced vs PostgreSQL comparison

MongoDB Enterprise Advanced

Read 125 PostgreSQL reviews

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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: December 2025).

MongoDB Enterprise Advanced vs. PostgreSQL

December 2025

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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 (11th)

Mindshare comparison

As of January 2026, in the Open Source Databases category, the mindshare of MongoDB Enterprise Advanced is 5.1%, up from 4.1% compared to the previous year. The mindshare of PostgreSQL is 14.7%, down from 18.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Open Source Databases Market Share Distribution
Product	Market Share (%)
PostgreSQL	14.7%
MongoDB Enterprise Advanced	5.1%
Other	80.2%

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

"We find the query and speed very valuable."

"It is really a pretty easy product to use. It's very reliable, it's proven."

"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."

"It's easy to add and remove things in MongoDB. You can alter the tables. MongoDB is faster at reading, slower at writings."

"Scalability seems good. I've never been even close to finding the limits. I've run a couple of notes of redundancy but I've never had any problems with scalability."

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

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

"The aggregation framework is very powerful when elaborating on data."

More MongoDB Enterprise Advanced pros

"The community support and the open-source community for it are good."

"The product is quite flexible."

"Initial setup is simple."

"I like that you can move any relational database from Oracle to PostgreSQL. I also like that it's pretty stable."

"The initial setup is quick and easy."

"The built-in code procedural language is the most valuable. It has a built-in layer for code procedures. Its installation is very easy and quick, and it is free. It is also stable, and its performance is also good."

"PostgreSQL is stable. It's available, stable, and reliable."

"It's a useful solution, that can be widely used."

Cons

"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."

"I'd like to see an ID generator. It's very technical but I don't think it has one, so we have to go to great lengths to work around that."

"It would help if MongoDB offered a light solution for small projects."

"It isn't easy to recognize entities with MongoDB."

"I suppose it could be a little more secure."

"MongoDB should improve its data loading part."

"MongoDB should be more stable, and support should be more efficient."

"The auto transaction feature is something that I found a little bit problematic. If we want to run two or three transactions at a time, we get write conflicts. So, it becomes really difficult when concurrency comes into the picture."

More MongoDB Enterprise Advanced cons

"A better graphic user-interface would be nice to see."

"It still needs to be more mature and have some backup feature. We are normally dealing with Oracle's data, and we have very strong online tools to back up the data and do other things. PostgreSQL still needs to do more in this area as well as in the high availability area. There are many external tools that you can use for PostgreSQL's high availability, but there is no embedded tool within PostgreSQL for high availability. It could have a feature similar to Oracle for working on a distributed system. It can have some scripts to improve the monitoring and some tools to do performance analysis. We have a workaround for most of such requirements except for the support for a distributed system, which is very difficult to have. This area should be included in the core of the database itself."

"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."

"They need to improve the user experience of the management."

"I find it difficult to get connectors on the tool. For example, .NET has only one free provider in PostgreSQL. I need to pay the provider if I need something more sophisticated features. Other languages like PHP and Java have good community support. We need community support for .NET."

"The solution could improve the integration."

"PostgreSQL uses high memory compared to its counterparts when a highly demanding load is involved, especially one that makes many concurrent connections to the database."

"PostgreSQL’s performance could be improved."

Pricing and Cost Advice

"MongoDB's pricing is reasonable."

"The pricing is favorable if you opt to install MongoDB on an Amazon EC2 instance as you won't have to pay for the extra Atlas services and can instead manage the scaling yourself. This allows for a cost-effective solution and using MongoDB on a small scale, I have been able to utilize it for free."

"MongoDB is a bit expensive compared to its competitors."

"MongoDB's pricing is not reasonable, but it is not as expensive as the others."

"I don't know, but I have heard from people who procure it that it is much cheaper than Oracle."

"MongoDB is an open-source solution."

"Our customers pay for yearly licenses for MongoDB."

"I believe that MongoDB is free."

More MongoDB Enterprise Advanced pricing and cost advice

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

"The licensing model is good."

"It could be much cheaper. If you would like to build an application on Amazon today, PostgreSQL is the standard database with Redshift. If you want other databases, you can add them, but PostgreSQL is the basis of everything. It's a question of money, that's it."

"The solution requires a license."

"We do not pay for licensing."

"It is open-source. If you use it on-premise, it is free. It also has enterprise or commercial versions. If you go for the cloud version, there will be a cost, but it is lower than Oracle or Microsoft."

"It is also open-source so it is free."

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

Top Industries

By visitors reading reviews

Financial Services Firm

15%

Computer Software Company

Manufacturing Company

University

Computer Software Company

13%

Financial Services Firm

11%

Comms Service Provider

10%

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