MongoDB Enterprise Advanced vs PostgreSQL comparison

MongoDB Enterprise Advanced

Read 125 PostgreSQL reviews

7,165 Views
6,305 Comparison Views

96% willing to recommend

Comparison Buyer's Guide

Download the report

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

Download the complete report

Helped 881,082 peers since 2012

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

"MongoDB is flexible and it allows other applications to be added."

"The clustering is very good. It allows us to have high availability."

"We can define security rules at the database level or the cluster level to grant or deny access to particular users."

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

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

"The most valuable features of MongoDB are we have a lot of documentation and SQL-based applications that run on it."

"The solution is user-friendly with a good object retrieval feature."

"Sharding is an excellent feature of MongoDB."

More MongoDB Enterprise Advanced pros

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

"It is very scalable and comes with a bonus: no licensing issues as you scale with your databases."

"PostgreSQL makes it very adaptable to several descriptions of a record. Instead of having several tables or several relations for one entity, I can adapt this entity. It can be a multiform entity. For example, here in Mexico, a company and a person can be sold to us as a physical entity or a physical person."

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

"The most valuable features are the price, stability, it is scalable and is used by our clients in small business environments, and it is a simple product to use."

"Clustering will be the number 1 feature. It is also open-source so it is free. It can also be clustered, to allow fault tolerance."

"PostgreSQL is very powerful, easy to manage, and has many features."

"What I like is that it's quite powerful in terms of performance."

Cons

"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."

"You need integration with other tools to run the query in MongoDB."

"It has certain limitations when it comes to handling hierarchical data, enforcing relationships, and performing complex joins, which should be taken into account when designing databases for applications with intricate data requirements."

"I think that MongoDB's search engine should be improved."

"The analytics needs improvement."

"The performance can be improved."

"It would be much more useful if I have an admin user and a password."

"Our program developer finds it to be a little unstable, development-wise."

More MongoDB Enterprise Advanced cons

"I'm not really able to customize it."

"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 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."

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

"It could be more secure."

"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."

"There are some products out there that have a slightly different method of implementation for the SQL language. Some of those are slightly better in some areas, and PostgreSQL is slightly better in some areas. I would probably like to match all of those products together. It is just down to the functionality. For example, Oracle has a number of options within SQL that are outside of what you would class as the SQL standard. PostgreSQL misses some of those, but PostgreSQL does other things that are better than what Oracle does. I would like to merge those two products so that there is a certain amount of functionality in a single product."

"Instead of the installation agent downloading all the packages for the install, it should allow the user to download the packages separately on their own to do the install."

Pricing and Cost Advice

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

"The product is affordable."

"MongoDB is a free solution. We wanted to have high availability and the subscription cost was quite expensive because the basic one is free and then when you want to have some other replications or other features you will need to pay money. Overall the solution is expensive."

"The solution is open source so is free."

"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."

"We use the open-source version, which is available to use free of charge."

"MongoDB has a free version. You can also buy the enterprise edition, which is cheaper than Oracle."

More MongoDB Enterprise Advanced pricing and cost advice

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

"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 licensing model is good."

"There is an annual license."

"It is open source. There is no licensing."

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

"We use the open-source version of PostgreSQL and not the enterprise edition."

"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.

InfluxDB vs MongoDB Enterprise Advanced

Comparisons

Compared 6% of the time

Couchbase Enterprise vs MongoDB Enterprise Advanced

Compared 6% of the time

Microsoft Azure Cosmos DB vs MongoDB Enterprise Advanced

Compared 5% of the time

MongoDB Atlas vs MongoDB Enterprise Advanced

Compared 5% of the time

Neo4j Graph Database vs MongoDB Enterprise Advanced

Compared 3% of the time

More MongoDB Enterprise Advanced Competitors

Firebird SQL vs PostgreSQL

Compared 25% of the time

MySQL vs PostgreSQL

Compared 10% of the time

MariaDB vs PostgreSQL

Compared 7% of the time

Chroma vs PostgreSQL

Compared 5% of the time

Faiss vs PostgreSQL

Compared 3% of the time

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