MongoDB Enterprise Advanced vs PostgreSQL comparison

MongoDB Enterprise Advanced

Read 125 PostgreSQL reviews

7,703 Views
7,087 Comparison Views

96% willing to recommend

Comparison Buyer's Guide

Download the report

Executive SummaryUpdated on Jul 31, 2025

PostgreSQL and MongoDB Enterprise Advanced compete in the database management system category. Based on feature sets and pricing attractiveness, PostgreSQL has the upper hand with its open-source model and robust SQL-compliant features, enhancing its value in structured data management.

Features: PostgreSQL provides a robust SQL-compliant features set, including support for complex queries and procedural languages. It is scalable and versatile, offering JSON support, full-text search, and a powerful indexing system ideal for structured data management. MongoDB Enterprise Advanced is notable for its flexible schema-free architecture, making it excellent for unstructured data handling. It is highly scalable and user-friendly, promoting rapid development and deployment.

Room for Improvement: PostgreSQL can struggle with slower performance on certain queries and lacks built-in multi-master replication. It could also improve in user accessibility. MongoDB faces challenges in real-time data processing and integration with BI tools, and handling highly demanding workloads can be problematic.

Ease of Deployment and Customer Service: PostgreSQL offers various deployment modes including on-premises and cloud options, often requiring technical expertise due to limited official support. While community support is strong, direct technical support requires additional costs. MongoDB Enterprise Advanced provides streamlined cloud-based deployment with integrated support options, although its enterprise options can be expensive.

Pricing and ROI: As an open-source solution, PostgreSQL offers exceptional ROI, requiring investments primarily in skilled personnel. MongoDB offers a free version, but its enterprise features are priced at a premium, which can be cost-prohibitive for smaller businesses. However, it offers significant ROI for projects needing high scalability and flexibility.

To learn more, read our detailed MongoDB Enterprise Advanced vs. PostgreSQL Report (Updated: July 2025).

MongoDB Enterprise Advanced vs. PostgreSQL

Download the complete report

Helped 864,574 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

5th

Average Rating

8.2

Reviews Sentiment

6.6

Number of Reviews

Ranking in other categories

NoSQL Databases (1st), Managed NoSQL Databases (8th)

PostgreSQL

Ranking in Open Source Databases

3rd

Average Rating

8.4

Reviews Sentiment

7.7

Number of Reviews

125

Ranking in other categories

Vector Databases (12th)

Mindshare comparison

As of August 2025, in the Open Source Databases category, the mindshare of MongoDB Enterprise Advanced is 4.1%, up from 4.0% compared to the previous year. The mindshare of PostgreSQL is 17.1%, down from 20.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Open Source Databases

Featured Reviews

Uzair Faruqi

Head Of Analytics at Mjunction Services

Transforms data flow with adaptable schema and smooth public cloud deployment

One of our business units uses MongoDB, and we developed an ETL pipeline that extracts data from MongoDB and transfers it into our data warehouse MongoDB is a NoSQL database that is similar to a document database. It offers flexibility in schema adaptation, allowing us to change the schema and…

Read full review

PavithrarajShetty

Software Architect at Tetherfi

Offers simplicity and is cheaply priced

I haven't gone through the scalability aspect since I was using MySQL Server. I haven't worked to a high level in PostgreSQL, but with MySQL Server, I have managed clustering and partitioning. I think I haven't put much focus on PostgreSQL, so I am not sure how it behaves or how it works.

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 best features are scalability, document management, and data security."

"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."

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

"The solution has good flexibility and very fast performance for searching data."

"MongoDB is a NoSQL tool that gives us much freedom to manipulate how the data works."

"Sharding is an excellent feature of MongoDB."

"It is very easy to create a MongoDB cluster. You can deploy three nodes in one hour. You can do small configurations to enable routing. It is easy to implement."

"My impression is that the initial setup is straightforward."

More MongoDB Enterprise Advanced pros

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

"It is easy to install and easy to manage. There is no license on it, so it is free. There is high compatibility with Oracle, and there are many tools for the migration of data from Oracle to Postgre."

"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."

"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."

"The solution has many valuable features such as it easy to use and the interface is intuitive."

"The most valuable feature is the performance."

"It's quite scalable."

"It is easy to use."

Cons

"The transaction could use improvement. From MySQL, for example, you cannot create a transaction if you are reading and writing a document at the same time."

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

"Enhancing the documentation to make it more beginner-friendly is crucial."

"The solution could include more integrations with other platforms."

"MongoDB can improve large-size video or media frame operations. There are a lot of customers who want to upload media frames and video games but there is some difficulty. In MongoDB, we are looking out for solutions that are for large-size media files that can be saved and navigated efficiently."

"It could be much more flexible like SequoiaDB. I would like to see more flexibility in the next release, especially when working with Microsoft Windows. A lot of people struggle with MongoDB because of their Windows versions. But Linux is faultless and mostly runs nicely."

"There is room for improvement in integrating MongoDB with agentive AI solutions."

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

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."

"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."

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

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

"The search option is not very good."

"It needs more integration."

"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."

"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

"The pricing is normal. Price-wise, the product is not too much expensive."

"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."

"This is an open-source solution."

"There is an enterprise license and it could be cheaper. We are using the free open source version."

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

"It's open-source."

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

"I only used the open-source version."

More MongoDB Enterprise Advanced pricing and cost advice

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

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

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

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

"The solution requires a license."

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

"Affordable solution."

"The tool is cheaply priced compared to other RDBMS providers in the market."

Top Industries

By visitors reading reviews

Financial Services Firm

15%

Computer Software Company

12%

University

Manufacturing Company

Computer Software Company

15%

Financial Services Firm

12%

Comms Service Provider

10%

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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?

We pay approximately 2,000 euros per month for MongoDB.

What needs improvement with MongoDB?

I'm not sure about the documentation or the knowledge bases available for MongoDB because I don't interact with it at that level, but I would say it's minimal and could be improved. I am not experi...

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 10% of the time

Couchbase Enterprise vs MongoDB Enterprise Advanced

Compared 7% of the time

Milvus vs MongoDB Enterprise Advanced

Compared 7% of the time

Cassandra vs MongoDB Enterprise Advanced

Compared 6% of the time

Microsoft Azure Cosmos DB vs MongoDB Enterprise Advanced

Compared 5% of the time

More MongoDB Enterprise Advanced Competitors

Firebird SQL vs PostgreSQL

Compared 33% of the time

MySQL vs PostgreSQL

Compared 11% of the time

EDB Postgres Advanced Server vs PostgreSQL

Compared 10% of the time

MariaDB vs PostgreSQL

Compared 8% of the time

Product Reports

MongoDB Enterprise Advanced

Download MongoDB Enterprise Advanced product report

Download PostgreSQL product report

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

MongoDB Enterprise Advanced vs. PostgreSQL