IBM Db2 on Cloud vs MongoDB Atlas comparison

IBM and MongoDB are both solutions in the Database as a Service (DBaaS) category. IBM is ranked #11 with an average rating of 8.0, while MongoDB is ranked #3 with an average rating of 8.4. IBM holds a 1.1% mindshare in DS, compared to MongoDB’s 14.2% mindshare. Additionally, 100% of IBM users are willing to recommend the solution, compared to 96% of MongoDB users who would recommend it.

IBM Db2 on Cloud

Read 2 IBM Db2 on Cloud reviews

195 Views
140 Comparison Views

100% willing to recommend

MongoDB Atlas

Read 48 MongoDB Atlas reviews

3,963 Views
2,403 Comparison Views

96% willing to recommend

IBM Db2 on Cloud

MongoDB Atlas

Comparison Buyer's Guide

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Executive SummaryUpdated on Aug 12, 2024

MongoDB Atlas and IBM Db2 on Cloud are competitive cloud database solutions. Users favor pricing and support in MongoDB Atlas, but IBM Db2 on Cloud might be worth the price due to its feature set.

Features: MongoDB Atlas offers scalability, flexibility, and a robust document model. IBM Db2 on Cloud provides advanced analytics, integration capabilities, and reliability.

Room for Improvement: MongoDB Atlas could improve backup options and provide more detailed documentation. IBM Db2 on Cloud could have a more intuitive management interface and better support for non-relational data.

Ease of Deployment and Customer Service: MongoDB Atlas is noted for its easy deployment and responsive customer service. IBM Db2 on Cloud is more complex to deploy but offers robust support.

Pricing and ROI: MongoDB Atlas is considered cost-effective with a quicker ROI. IBM Db2 on Cloud, possibly more expensive, provides extensive features and long-term returns.

To learn more, read our detailed IBM Db2 on Cloud vs. MongoDB Atlas Report (Updated: April 2025).

Buyer's Guide

IBM Db2 on Cloud vs. MongoDB Atlas

April 2025

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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

IBM Db2 on Cloud

Ranking in Database as a Service (DBaaS)

11th

Average Rating

8.6

Reviews Sentiment

7.3

Number of Reviews

Ranking in other categories

No ranking in other categories

MongoDB Atlas

Ranking in Database as a Service (DBaaS)

3rd

Average Rating

8.4

Reviews Sentiment

7.4

Number of Reviews

Ranking in other categories

Managed NoSQL Databases (6th)

Mindshare comparison

As of May 2025, in the Database as a Service (DBaaS) category, the mindshare of IBM Db2 on Cloud is 1.1%, up from 0.8% compared to the previous year. The mindshare of MongoDB Atlas is 14.2%, down from 15.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Database as a Service (DBaaS)

Featured Reviews

FarhanFarhan

Database Engineer at Meezan Bank

Multi-node architecture and it is good from a security point of view

I would rate the stability a seven out of ten. Most of the issues we faced during troubleshooting were due to specific bugs in the environment, and the only solution was to upgrade the database environment or services. But it is not easy to upgrade the database level when third-party applications are involved, as they are not always comfortable with upgrading. There should be some cumulative solution provided by IBM for their customers, just like other vendors. Upgrading to a certain version doesn't always resolve the issue. It might get resolved at the database level, but what about the other applications integrated with that database that are only compatible with older versions?

Read full review

Laksiri Bala

DB Architect / Consultant at Virtusa Global

Room for improvement in data handling leads to enhanced cost-effective data management performance

It would be beneficial if MongoDB Atlas could better support OLTP aspects and data frames, as well as enhance its capabilities for data pipelines and visualization dashboards. Furthermore, supporting the medallion architecture could be a valuable addition, and incorporating improved spatial and vector handling for geographical data could make it more competitive. Enhancing vector processing for AI capabilities would also be critical.

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

"The reliability is the most valuable feature. It is also user-friendly."

"Multiple business departments rely on reports and predictive analysis to make decisions for future business based on their data warehouse and Db2 network analytics tool. It helps our business department make decisions."

"The price of MongoDB Atlas is reasonable, which is why many organizations, including mine, are opting for it."

"Our databases used to be in-house. Now, they are in the cloud with MongoDB and everything is much easier."

"MongoDB Atlas is very easy to use and user-friendly, and you get what you're paying for."

"For security reasons, I prefer MongoDB Atlas. It supports role-based access control, so you have an entity for each individual."

"The product allows us to easily set up and store large amounts of unstructured data."

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

"It's a good solution for NoSQL databases."

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

More MongoDB Atlas pros

Cons

"In other environments like Oracle or Teradata, they provide their own solutions for troubleshooting issues. They provide built-in AI services or autonomous databases, which I don't see in the Db2 environment."

"I would give their support a ten if they had more tutorials available."

"During the configuration, we did some migrations where we had to reindex about 70,000 indexes, which took around an hour. They should improve this and optimize the indexing."

"Customer support needs improvement knowledge-wise."

"Querying a dataset is not very intuitive, so I think that it can be improved."

"I would like a more comprehensive dashboard."

"The product does not have ORM."

"I am not an expert on what improvements could be made to MongoDB."

"The UI is not currently designed in a manner to make it possible for a non-technical person or a layman to update the database easily."

"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

Pricing and Cost Advice

Information not available

"Pricing could always be better."

"We pay for the license on a monthly basis. It's not cheap or expensive. For smaller companies, it's definitely expensive."

"The pricing is good. We originally chose it over DynamoDB because of the pricing."

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

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

"MongoDB Atlas is not expensive, and since it's a cloud-based solution, you pay by usage."

"The price of MongoDB Atlas is highly affordable."

"The pricing is not that expensive, but it can be, especially when we have deployed it across multiple zones."

More MongoDB Atlas pricing and cost advice

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Top Industries

By visitors reading reviews

No data available

Computer Software Company

19%

Financial Services Firm

15%

Comms Service Provider

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What needs improvement with IBM Db2 on Cloud?

In other environments like Oracle or Teradata, they provide their own solutions for troubleshooting issues. They provide built-in AI services or autonomous databases, which I don't see in the Db2 e...

See all answers

What advice do you have for others considering IBM Db2 on Cloud?

Since I have worked with almost every product, including IBM, Teradata is far better than any other data warehouse product. It's a separate database with its own features, architecture, and working...

See all answers

What is your primary use case for IBM Db2 on Cloud?

It's a multi-node logical database clustered in three physical nodes. We use a lot of services already provided in our private cloud environment. It's a multi-node architecture.

See all answers

What do you like most about MongoDB Atlas?

There are many valuable features, but scalability stands out. It can scale across zones. You can define multiple nodes. They have also partnered with AWS, offering great service with multiple featu...

See all answers

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

The price of MongoDB Atlas is reasonable, which is why many organizations, including mine, are opting for it.

See all answers

What needs improvement with MongoDB Atlas?

See all answers

Comparisons

Microsoft Azure SQL Database vs IBM Db2 on Cloud

Compared 52% of the time

Amazon RDS vs IBM Db2 on Cloud

Compared 48% of the time

More IBM Db2 on Cloud Competitors

Amazon RDS vs MongoDB Atlas

Compared 43% of the time

Microsoft Azure SQL Database vs MongoDB Atlas

Compared 16% of the time

Google Cloud SQL vs MongoDB Atlas

Compared 12% of the time

MongoDB vs MongoDB Atlas

Compared 7% of the time

Upstash vs MongoDB Atlas

Compared 6% of the time

More MongoDB Atlas Competitors

Product Reports

Buyer's Guide

Database as a Service (DBaaS)

March 2025

Download IBM Db2 on Cloud product report

Buyer's Guide

MongoDB Atlas

April 2025

Download MongoDB Atlas product report

Also Known As

No data available

Atlas

Overview

A fully-managed cloud SQL database. Powered by a turbo-charged Db2 engine.

IBM

MongoDB Atlas offers a cloud-based database service known for speed, scalability, ease of use, and flexibility. Its robust features and advanced security measures support various business needs, making it ideal for unstructured data management.

MongoDB Atlas maximizes data handling capabilities by providing a seamless integration and high availability environment. The platform's schemaless architecture and rich query support make it suitable for complex data processing. With cloud-based infrastructure, deployment and maintenance are simplified, serving sectors such as healthcare, finance, and more. Organizations benefit from autoscaling, clustering, and APIs for effective project management. Continuous improvements in user experience, cost-effectiveness, query performance, and security are expected to meet evolving expectations.

What are the most important features?

Speed: Optimized for fast data handling and processing.
Scalability: Adapts to growing data needs without hassle.
Ease of Use: User-friendly interface for efficient navigation.
Flexibility: Supports unstructured data with ease.
Integration: Seamlessly connects with cloud environments.
High Availability: Ensures uninterrupted data access and operations.
Advanced Security: Protects data with robust security measures.
Schemaless Architecture: Enables dynamic data structure management.
Rich Query Support: Facilitates complex queries and analytics.

What benefits and ROI should be considered?

Easy Deployment: Streamlines the setup process in cloud environments.
Efficient Project Management: APIs and tools enhance workflow.
Cost-Effectiveness: Potential for more flexible pricing models.
Data Management: Automates backups and supports clustering.
Advanced Tools: Enables comprehensive data processing capabilities.

MongoDB Atlas is widely implemented in industries such as healthcare, finance, and technology. It serves applications requiring high availability and scalability, handling tasks from patient data management to real-time analytics. With its adaptable infrastructure, Atlas supports diverse use cases from IoT integration to transactional processing in cloud environments.

MongoDB

Sample Customers

Owens-Illinois, KONE Corp., Cambridgeshire Fire and Rescue, Canon Europe, Delhaize America, Wimbledon

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

Buyer's Guide

IBM Db2 on Cloud vs. MongoDB Atlas

April 2025

Free Report: IBM Db2 on Cloud vs. MongoDB Atlas

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