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 is relatively fast compared to relational databases."

"It's easy to use."

"The solution's most important aspect is its seamless database."

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

"The most valuable feature of MongoDB is the predefined functions available when using Node.js. These functions simplify the query process, making it user-friendly and straightforward."

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

"MongoDB has definitely helped us improve our network monitoring and reporting dashboard, so I would say it has impacted our operations positively overall."

"The solution does not hold data in tabular format like SQL does but rather clusters data so that it can link on a large scale."

More MongoDB Enterprise Advanced pros

"It's a standard reliable database management system."

"The performance is good."

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

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

"The solution is scalable, it is very good."

"The solution is quite stable."

"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."

"It is very useful for both structured and unstructured data. You can store unstructured and structured data in PostgreSQL. It is easy to use. You can easily manage things through PostgreSQL Admin. It is cost-effective. Its on-premise version is free. It is agnostic of on-premise or cloud. You can install it on the cloud or on-premises. It is available with all clouds, and you can also install it on desktop or Windows Servers."

Cons

"There was a need for integrating relational database capabilities, however, MongoDB has introduced a relational converter that allows conversion between SQL and NoSQL."

"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."

"The improvements could be made to intelligence to detect disk storage and prevent MongoDB from crashing."

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

"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."

"Simplifying the aggregation framework would be an improvement."

"There is a need for improvement in MongoDB's customer support."

"Some of the solution's transaction capabilities can be improved."

More MongoDB Enterprise Advanced cons

"PostgreSQL could improve by providing a geographical solution for tracking trucks and people in the field. They might already have features similar to this and I have not found them. I haven't done research about this topic."

"I don't think PostgreSQL supports bulk databases, so it needs to have more capabilities in terms of managing the bulk data."

"The database and applications can become very slow."

"Integration with other platforms could be improved."

"It would be good to have machine learning functionality in this solution, similar to Microsoft SQL Server and other solutions. Machine learning capability for a basic level or a common user would be useful. It can also have good reporting capabilities."

"Sometimes, it becomes slow because of the network. So, there is room for improvement in performance."

"The user interface for the clients could be easier to use as they are small businesses. From a technical support perspective, the documentation could be improved."

"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."

Pricing and Cost Advice

"I believe that the licensing fees are paid on a yearly basis."

"Our customers pay for yearly licenses for MongoDB."

"I only used the open-source version."

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

"The product is affordable."

"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."

"The solution is open source, so it is free."

"We are using the Community Edition of MongoDB."

More MongoDB Enterprise Advanced pricing and cost advice

"We are using the free version of PostgreSQL."

"It is free, but if you need support, you can go for the commercial version called EnterpriseDB. They provide paid support, and they can even do hosting for you if you want standby and support."

"Affordable solution."

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

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

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

"There is an annual license."

"The licensing model is good."

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