MongoDB Atlas vs OpenLegacy comparison

MongoDB and OpenLegacy are both solutions in the AI Software Development category. MongoDB is ranked #14 with an average rating of 8.0, while OpenLegacy is ranked #78. MongoDB holds a 0.7% mindshare in ASD, compared to OpenLegacy’s 0.4% mindshare. Additionally, 96% of MongoDB users are willing to recommend the solution, compared to 80% of OpenLegacy users who would recommend it.

MongoDB Atlas

Read 51 MongoDB Atlas reviews

11,646 Views
2,329 Comparison Views

96% willing to recommend

OpenLegacy

Read 5 OpenLegacy reviews

2,320 Views
858 Comparison Views

80% willing to recommend

MongoDB Atlas

OpenLegacy

Comparison Buyer's Guide

Download the report

Executive Summary

We performed a comparison between MongoDB Atlas and OpenLegacy based on real PeerSpot user reviews.

Find out in this report how the two AI Software Development solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed MongoDB Atlas vs. OpenLegacy Report (Updated: June 2026).

Buyer's Guide

MongoDB Atlas vs. OpenLegacy

June 2026

Download the complete report

Helped 909,725 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 Atlas

Ranking in AI Software Development

14th

Average Rating

8.4

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Database as a Service (DBaaS) (4th), Managed NoSQL Databases (3rd), Database Management Systems (DBMS) (7th)

OpenLegacy

Ranking in AI Software Development

78th

Average Rating

7.6

Reviews Sentiment

6.2

Number of Reviews

Ranking in other categories

API Management (33rd)

Mindshare comparison

As of August 2026, in the AI Software Development category, the mindshare of MongoDB Atlas is 0.7%, up from 0.1% compared to the previous year. The mindshare of OpenLegacy is 0.4%. It is calculated based on PeerSpot user engagement data.

AI Software Development Mindshare Distribution
Product	Mindshare (%)
MongoDB Atlas	0.7%
OpenLegacy	0.4%
Other	98.9%

AI Software Development

Featured Reviews

Lintz Veloso

IT Manager at a government with 11-50 employees

Developers have benefited from flexibility and performance but pricing has needed further attention

I am only familiar with databases and applications. I am from the development team and I am a user of database and cloud but I don't know the infrastructure. As a user, I deal with the Oracle Database. I know the organization has a license with the product. We don't utilize real-time analytics with MongoDB Atlas. I don't use MongoDB Atlas directly, so I don't know how it can be improved. I would place MongoDB Atlas at a medium level. I would rate it at a six or seven. I believe MongoDB Atlas can improve a little. My overall review rating for this product is six out of ten.

Read full review

reviewer1042905

VP, Chief Enterprise Integration Architect at a financial services firm with 10,001+ employees

The biggest advantage is how simple the technology was.

I'd like to see OpenLegacy develop its low-code/no-code (LCNC) solutions. They've expanded somewhat their horizons for integration beyond mainframe CICS, which is their sweet spot. They have some tooling in that area, but it's not as good as it needs to be. OpenLegacy handles the bread-and-butter TP monitoring stuff, but I am working for one of the six banks in the United States still using the Hogan mainframe, which has a slightly proprietary mechanism. But OpenLegacy currently doesn't have a connector for Hogan. So it would help if they could build one. That would appeal to financial institutions that still use Hogan, like US Bank, Wells Fargo, KeyBank, and Vanguard.

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

"Its most valuable features are high availability and zero maintenance."

"The solution has a very intuitive user interface."

"It is better than the legacy databases, and it is very good with the cloud."

"The stability and performance are great. The high availability feature is great. Moreover, I am happy with the automated backup and restore functionality."

"I would recommend MongoDB Atlas to potential users."

"MongoDB Atlas was explicitly designed to support IoT applications. Many databases offer features tailored for IoT use cases."

"MongoDB is a NoSQL tool."

"Object-based data storing capability and managing non-structured data capability are the most valuable features of MongoDB Atlas."

More MongoDB Atlas pros

"It is possible to connect a service to a mainframe program or back transaction in a matter of minutes or hours at the most."

"The speed of development of production, especially in specific environments like IBM mainframes, has been valuable."

"Using mainframe programs (not screens), the OpenLegacy services do not require any changes by the mainframe programmers, thus reducing development cycles."

"OpenLegacy produces a war file which includes everything you need to deploy a Tomcat server."

"The product has helped our business by allowing us to become more efficient in data handling."

"The biggest advantage of OpenLegacy was how simple the technology was, and we were able to build out the OpenLegacy parts very quickly, putting together a couple hundred APIs in six months."

"OpenLegacy provides a way to go from the outside world to the legacy mainframe, to move the old standard application to a REST API application. New digital services can be created in a few clicks and this can be done easily by COBOL programmers."

"OpenLegacy opens the door to connect modern web products to our old legacy system."

More OpenLegacy pros

Cons

"From the scalability point of view, when we shard the database it creates a replica set of each shard and that will increase the cost."

"An area for improvement in MongoDB Atlas is that it does not support individual or personal database backup, though it supports cloud cluster backup."

"I would like to have better performance for user experience with the solution."

"Going forward, we would like to have pure AWS Cloud (native) storage instead regular storage on the AWS integration side."

"Based on its own habitat, it's not ACID compliant. If it had an ACID compliant option, it would be more useful for database administration."

"I would like a more comprehensive dashboard."

"The tool's implementation should be made easier."

"We had some edge cases where scalability was an issue where a node went offline, and we had to deal with that."

More MongoDB Atlas cons

"The pricing of the solution could be more flexible and allow for once-off payment versus annual licensing. This would be more appealing to companies in Latin America."

"Debugging and logging for programmers could be better."

"We would also be more than happy if the product had the option to work in the opposite direction – the ability to consume REST/SOW services in the outer world from the mainframe."

"I'd like to see OpenLegacy develop its low-code/no-code (LCNC) solutions. They've expanded somewhat their horizons for integration beyond mainframe CICS, which is their sweet spot. They have some tooling in that area, but it's not as good as it needs to be."

"Customer support for the product is slow and not very good. It makes using the product difficult if you need help quickly."

"I would like to see SSL out-of-the-box. OpenLegacy certainly does SSL, but it was not the default for our use case. We are currently working with OpenLegacy to cross the SSL bridge and suspect that most users will want to do the same."

Pricing and Cost Advice

"It is too expensive. They need to work on this."

"I am using the free version of the solution."

"The solution is fairly priced."

"The tool is free since it's an open-source product."

"MongoDB Atlas is more cost-effective than Amazon DocumentDB. It also has a pay-as-you-go pricing model. Apart from the standard licensing cost, you must also pay to get MongoDB Atlas technical support, which is expensive."

"In my previous company, the product allowed use to build a database in a highly regulated environment with the ability to get distributed storage. We used MongoDB as a distributed storage to set up this environment for a critical business application with millions of dollars."

"I have seen the cost, and it was pretty cheap."

"Comparing the price between the MongoDB and Microsoft SQL Server, we are using the enterprise edition of Microsoft SQL Server, which is more expensive than MongoDB."

More MongoDB Atlas pricing and cost advice

"The pricing of the solution could be more flexible and allow for once-off payment versus annual licensing. This would be more appealing to companies in Latin America."

See which vendors are best for you

Use our free recommendation engine to learn which AI Software Development solutions are best for your needs.

See recommendations

909,725 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Manufacturing Company

14%

Financial Services Firm

12%

Construction Company

10%

Computer Software Company

Construction Company

26%

Financial Services Firm

13%

Comms Service Provider

12%

Manufacturing Company

11%

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	24
Midsize Enterprise	12
Large Enterprise	23

No data available

Questions from the Community

What is your experience regarding pricing and costs for MongoDB Atlas?

Pricing-wise, MongoDB Atlas has a pay-as-you-go strategy. The documentation for MongoDB is very good; I have learned multiple things through reading it. The free tier is M0 for $0, which is suitabl...

See all answers

What needs improvement with MongoDB Atlas?

MongoDB Atlas can be improved in a few ways. While the platform is feature-rich, some advanced configuration and performance tuning options have a learning curve, especially for teams that are new ...

See all answers

What is your primary use case for MongoDB Atlas?

My main use case for MongoDB Atlas is for storing and managing semi-structured or rapidly evolving data where schema flexibility is important. A good example of how I have used MongoDB Atlas for ma...

See all answers

Ask a question

Earn 20 points

Comparisons

Amazon RDS vs MongoDB Atlas

Compared 9% of the time

Microsoft Azure Cosmos DB vs MongoDB Atlas

Compared 7% of the time

MongoDB Enterprise Advanced vs MongoDB Atlas

Compared 7% of the time

Snowflake vs MongoDB Atlas

Compared 6% of the time

Google Cloud SQL vs MongoDB Atlas

Compared 5% of the time

More MongoDB Atlas Competitors

IBM DataPower Gateway vs OpenLegacy

Compared 18% of the time

Pipedream vs OpenLegacy

Compared 11% of the time

IBM API Connect vs OpenLegacy

Compared 9% of the time

MuleSoft API Manager vs OpenLegacy

Compared 8% of the time

Fiorano API Management vs OpenLegacy

Compared 8% of the time

More OpenLegacy Competitors

Product Reports

Buyer's Guide

MongoDB Atlas

August 2026

Download MongoDB Atlas product report

Buyer's Guide

OpenLegacy

August 2026

Download OpenLegacy product report

Also Known As

Atlas, MongoDB Atlas (pay-as-you-go)

No data available

Overview

MongoDB Atlas stands out with its schemaless architecture, scalability, and user-friendly design. It simplifies data management with automatic scaling and seamless integration, providing dynamic solutions for diverse industries.

MongoDB Atlas offers a cloud-based platform valued for its seamless integration capabilities and high-performance data visualization. It features advanced security options such as encryption and role-based access control alongside flexible data storage and efficient indexing. Users benefit from its robust API support and the ability to manage the platform without an extensive setup process. Feedback suggests improvements are needed in usability, query performance, security options, and third-party tool compatibility. While pricing and support services could be more economical, there is a demand for enhanced real-time monitoring and comprehensive dashboards, as well as advanced containerization and scalability options supporting complex database structures.

What are the key features of MongoDB Atlas?

Schemaless Architecture: Flexible data storage without predefined structure.
Automatic Scaling: Dynamically adjusts resources to meet demand.
Advanced Security: Encryption and role-based access control.
User-Friendly Interface: Simplified management and operation.
Robust API Support: Facilitates integration with applications.

What benefits should you consider in a solution like MongoDB Atlas?

Cost-Effective Management: Minimizes setup and operational costs.
Dynamic Data Management: Adapts to varying business demands.
Seamless Integration: Connects easily with other tools and frameworks.
High Performance: Optimized for real-time data processing and visualization.
Reliable Support: Accessible assistance and comprehensive documentation.

In healthcare and finance, MongoDB Atlas manages payment transactions and facilitates real-time analytics, powering SaaS solutions and storing large volumes of user data. It enhances scalability, performance, and security for cloud hosting, IoT integrations, and Node.js environments, widely favored for its flexibility and capability to support microservices.

MongoDB

OpenLegacy integrates legacy customer data with REST APIs, speeding up mobile transactions and code updates while simplifying API development. Its open-source platform offers flexibility, benefiting mainframe environments and Tomcat server deployments.

OpenLegacy is crucial for organizations aiming to integrate modern web applications with legacy systems. The platform is widely used in financial and logistics sectors to enable quick access to customer data and transactions, effectively monetizing mainframe assets. By facilitating the rapid creation of numerous APIs, OpenLegacy supports seamless interactions between applications, allowing modern web form inputs into legacy systems. Its flexibility and extensive capabilities simplify API development and deployment, proving valuable for those managing day-to-day banking and transaction data. However, room for improvement includes better debugging, logging, SSL integration, flexible pricing options, and support availability, especially for Hogan mainframe users.

What features define OpenLegacy?

REST API Integration: Facilitates integration with mobile transactions.
Faster Code Updates: Delivers efficiency in code changes for mainframe environments.
Open-Source Flexibility: Offers customization and broad capabilities.
Tomcat Deployment: Supports straightforward deployment via Tomcat servers.
Rapid API Development: Enables swift creation of multiple APIs.

What ROI benefits should users expect?

Legacy System Monetization: Transforms mainframe assets into profit.
Improved Integration: Enhances access to critical customer data and transactions.
Efficient Operations: Streamlines daily banking and transaction management.
Cost-Effectiveness: Flexibility and open-source nature reduce expenses.
Enhanced Interoperability: Allows seamless interaction between old and new applications.

Financial and logistics companies leverage OpenLegacy to link web applications with legacy systems, ensuring quick customer data and transaction access. This integration supports rapid solution building and efficient management of banking and transaction data, particularly benefiting institutions like US Bank and Wells Fargo needing comprehensive Hogan mainframe connectors.

OpenLegacy

Sample Customers

Wells Fargo, Forbes, Ulta Beauty, Bosch, Sanoma, Current (a Digital Bank), ASAP Log, SBB, Zebra Technologies, Radial, Kovai, Eni, Accuhit, Cognigy, and Payload.

Many of openLegacy's global customers are among the Global 100 companies. Review case studies in these industries: Agriculture, Airport Authority, Automotive, Auto, Finance, Insurance, Government, Healthcare, Manufacturing, and Retailwww.openlegacy.com/case-studie...

Buyer's Guide

MongoDB Atlas vs. OpenLegacy

June 2026

Free Report: MongoDB Atlas vs. OpenLegacy

Find out what your peers are saying about MongoDB Atlas vs. OpenLegacy and other solutions. Updated: June 2026.

DOWNLOAD NOW

909,725 professionals have used our research since 2012.

See our MongoDB Atlas vs. OpenLegacy report.

See our list of best AI Software Development vendors.

We monitor all AI Software Development reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.