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Firebird SQL vs MongoDB Enterprise Advanced comparison

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Comparison Buyer's Guide

Executive SummaryUpdated on Feb 8, 2026

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

Firebird SQL
Ranking in Open Source Databases
6th
Average Rating
7.8
Reviews Sentiment
7.4
Number of Reviews
15
Ranking in other categories
Embedded Database (4th)
MongoDB Enterprise Advanced
Ranking in Open Source Databases
8th
Average Rating
8.2
Reviews Sentiment
6.7
Number of Reviews
82
Ranking in other categories
NoSQL Databases (2nd), Managed NoSQL Databases (4th)
 

Mindshare comparison

As of September 2026, in the Open Source Databases category, the mindshare of Firebird SQL is 9.9%, down from 15.9% compared to the previous year. The mindshare of MongoDB Enterprise Advanced is 6.4%, up from 4.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Open Source Databases Mindshare Distribution
ProductMindshare (%)
Firebird SQL9.9%
MongoDB Enterprise Advanced6.4%
Other83.7%
Open Source Databases
 

Featured Reviews

SS
Research and Development Project Manager at Sixense Monitoring
Efficient data storage with reliable and easy management
We are working on monitoring software that involves making a lot of measurements with sensors. We store all the data in Firebird, which is why we use It primarily for data storage It's difficult to describe how it has improved our organization because we have been using Firebird for a very long…
AB
Co-Founder at Vsigma IT Labs Pvt Ltd
Have managed customer transaction data efficiently and supported high-demand workloads with reliable performance
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 could see. I will not be able to clearly say there is currently a deficiency there. All our DBs are integrated with a backend data warehouse, not necessarily AWS. When third-party data warehouses are integrated, we are seeing some ETL job performance issues. It is a one-off scenario so we have not thoroughly done any troubleshooting on that. It could be platform or third-party related issue. From the AWS standpoint, if robust integration and data warehouse integration specific tools are added in the advanced suite, that would definitely be helpful.

Quotes from Members

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

Pros

"The product was easy to use."
"The solution is very useful for stock management."
"We are happy with the event capabilities of Firebird SQL database. We can raise events from it and display them in our application."
"The documentation is very well written."
"I can deploy it on Linux, Mac OS, and Windows — it's very easy."
"It helps us in detecting all kinds of problems in the code, such as bad quality, unclear code, or any violation in the code or best practices."
"The most valuable feature of the solution is that it is reliable, offers good performance, and is easy to use."
"I find the ease of deployment to be the most valuable aspect of this solution."
"MongoDB is scalable and stable. The initial setup is very easy, and deployment and maintenance can be done by one person."
"One of the most valuable features is the ability to Text Search can be used anywhere and anytime."
"Easier to maintain the data with its document-based storage."
"We are talking about a rapid activity and replication solution which serves our needs well."
"We can define security rules at the database level or the cluster level to grant or deny access to particular users."
"It is really a pretty easy product to use. It's very reliable, it's proven."
"The solution is stable and the performance is good."
"This is a product that I can recommend to others."
 

Cons

"Firebird SQL's performance has slowed since Firebird SQL 3 or 3.5 versions, where they developed over-the-wire encryption."
"It is not easy to integrate the tool with Visual Studio."
"There aren't a lot of people using this solution — it's not very popular in the marketplace."
"It would be interesting if they added functionality with redundancy, reputation, and variability."
"It would be nice to have a graphical user interface to handle the product."
"Technical support and performance could be better. We have some problems with this solution, but we don't know if the problem is with the database or the configuration. For example, sometimes, the users can't access the database."
"In the next release, it should support JSON, XML, and replication with third-party tools."
"This solution isn't very user-friendly, or intuitive, which could be improved when it is developed."
"People coming from RDBMS should have the flexibility to write queries in SQL that can be converted into JSON queries."
"The scalability of the product is acceptable, but with MongoDB, the big problem is the cost."
"So I would say our compatibility and performance are the two things that came up that I know in the project we had problems with."
"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."
"At the start, connecting to the database via Compass or through a direct ID was a challenge."
"There is room for improvement in integrating MongoDB with agentive AI solutions."
"The solution could have more integration."
"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."
 

Pricing and Cost Advice

"It is a public domain system as every customer can install it on their system without paying any license fee."
"There is a yearly maintenance fee for the use of the solution."
"Firebird SQL is an open-source solution, which means it is a free product."
"The tool is open source."
"We are using the free solution, so there is no cost involved."
"I was using the free version of Firebird SQL."
"It's open-source and free."
"It is okay."
"I believe that MongoDB is free."
"The pricing is normal. Price-wise, the product is not too much expensive."
"It's a community edition, so we do not pay anything."
"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."
"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."
"It is rather expensive."
"I believe that the licensing fees are paid on a yearly basis."
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Top Industries

By visitors reading reviews
Comms Service Provider
15%
Manufacturing Company
11%
Computer Software Company
9%
Financial Services Firm
7%
Financial Services Firm
15%
Manufacturing Company
8%
Outsourcing Company
8%
Comms Service Provider
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business11
Midsize Enterprise3
By reviewers
Company SizeCount
Small Business36
Midsize Enterprise13
Large Enterprise39
 

Questions from the Community

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 needs improvement with Firebird SQL?
We would like to improve the management of very large databases. We have databases up to three or four terabytes, and it's not so easy to manage such large databases.
What is your primary use case for Firebird SQL?
We are working on monitoring software that involves making a lot of measurements with sensors. We store all the data in Firebird, which is why we use It primarily for data storage.
What is your experience regarding pricing and costs for MongoDB?
I think it depends on the provider. For example, on DigitalOcean, they have strict routing. You have to whitelist an IP address, or you risk getting DDoS. Then if you're going for the Atlas one tha...
What needs improvement with MongoDB?
I don't really have a deep dive into it, but I see that MongoDB Enterprise Advanced has RAG and Vertex support. However, we really didn't use it because I think one thing also is that Prisma, the O...
What is your primary use case for MongoDB?
A typical use case for MongoDB Enterprise Advanced is mostly for the database, storing our data.
 

Overview

 

Sample Customers

Elekt Labs, Streamsoft, wobe-systems GmbH, DRB Systems, Moscow City Hospital #31
Facebook, MetLife, City of Chicago, Expedia, eBay, Google
Find out what your peers are saying about Firebird SQL vs. MongoDB Enterprise Advanced and other solutions. Updated: September 2026.
913,924 professionals have used our research since 2012.