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Cassandra vs MongoDB comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Apr 20, 2025

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

Cassandra
Ranking in NoSQL Databases
6th
Average Rating
8.0
Reviews Sentiment
6.1
Number of Reviews
24
Ranking in other categories
Vector Databases (14th)
MongoDB
Ranking in NoSQL Databases
1st
Average Rating
8.2
Reviews Sentiment
6.6
Number of Reviews
81
Ranking in other categories
Open Source Databases (5th), Managed NoSQL Databases (8th)
 

Mindshare comparison

As of July 2025, in the NoSQL Databases category, the mindshare of Cassandra is 10.5%, down from 13.2% compared to the previous year. The mindshare of MongoDB is 14.7%, down from 25.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
NoSQL Databases
 

Q&A Highlights

it_user1272297 - PeerSpot reviewer
Apr 19, 2020
 

Featured Reviews

Himanshu Amodwala - PeerSpot reviewer
Well-equipped to handle a massive influx of data and billions of requests
The use of Cassandra in real-time data analytics has been pivotal for our e-commerce platform. As our platform operates 24/7, providing services to sellers and customers alike, the need for real-time updates is paramount. For instance, when a customer leaves comments or feedback on an image, they anticipate an immediate reflection of these changes on the portal. Similarly, sellers altering product attributes or updating images expect instant visibility of these modifications. Handling large data volumes with Cassandra has been an excellent experience. Despite challenges related to the influx, these were not attributed to Cassandra itself but rather to middle-layer issues. Generally, it demonstrated scalability with workloads, thanks to its horizontal scaling capabilities. We could easily add new nodes to the system as needed, ensuring the platform coped well with increasing loads. The tool's most beneficial feature for scalability is its entire architecture. The absence of a single point of failure or a leader within the ecosystem contributes to its robust scalability. This key aspect influenced our decision to opt for the Cassandra ecosystem. In terms of performance, it demonstrated the ability to handle approximately 1.6 billion requests per day. This was achieved on AWS using EC2 instances, and it was during a period about four to five years ago.
Uzair Faruqi - PeerSpot reviewer
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…

Quotes from Members

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

Pros

"Cassandra has some features that are more useful for specific use cases where you have time series where you have huge amounts of writes. That should be quick, but not specifically the reads. We needed to have quicker reads and writes and this is why we are using Cassandra right now."
"Cassandra offers high availability and fault tolerance, making it suitable for large-scale data storage and real-time processing."
"A consistent solution."
"Its retrieval is similar to an RDBMS, so our team finds it easy to adapt."
"Cassandra is good. It's better than CouchDB, and we are using it in parallel with CouchDB. Cassandra looks better and is more user-friendly."
"I'd rate the solution ten out of ten."
"Can achieve continuous data without a single downtime because of node to node ring architecture."
"The time series data was one of the best features along with auto publishing."
"The reports are useful for controlling the load of our whole architecture."
"The Dynamic Application is a valuable feature."
"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."
"MongoDB is fast and efficient."
"It has visible benefits, actually, in terms of price of ownership if you compare it to, for example, Oracle."
"We find the query and speed very valuable."
"One of the most valuable features of MongoDB is it is Its open source."
"Sharding is an excellent feature of MongoDB."
 

Cons

"It can be difficult to analyze what's going on inside of the database relative to other databases. It can also be difficult to troubleshoot sometimes."
"Cassandra is very complex to manage. Sometimes, I need to involve a senior DevOps engineer if we encounter a problem."
"There were challenges with the query language and the development interface. The query language, in particular, could be improved for better optimization. These challenges were encountered while using the Java SDK."
"The disc space is lacking. You need to free it up as you are working."
"Fine-tuning was a bit of a challenge."
"Cassandra can improve by adding more built-in tools. For example, if you want to do some maintenance activities in the cluster, we have to depend on third-party tools. Having these tools build-in would be e benefit."
"There could be more integration, and it could be more user-friendly."
"Batching bulk data can cause performance issues."
"Lacks sufficient scalability and elasticity."
"The solution should have better integration."
"We'd like information about client onboarding experience and success stories. It would help to have something to show to internal stakeholders."
"MongoDB should support TypeScript."
"It isn't easy to recognize entities with MongoDB."
"Some of the solution's transaction capabilities can be improved."
"The performance could be faster."
"I would like to see the scalability and security improved."
 

Pricing and Cost Advice

"We pay for a license."
"Cassandra is a free open source solution, but there is a commercial version available called DataStax Enterprise."
"There are licensing fees that must be paid, but I'm not sure if they are paid monthly or yearly."
"I use the tool's open-source version."
"I don't have the specific numbers on pricing, but it was fairly priced."
"We are using the open-source version of Cassandra, the solution is free."
"At the moment, all customers are using the community version."
"The solution is open source, so it is free."
"The solution is open source so is free."
"It is rather expensive."
"There are different licenses available to be purchased, such as individual, premium, or enterprise."
"MongoDB is a bit expensive compared to its competitors."
"The pricing is normal. Price-wise, the product is not too much expensive."
"MongoDB is not expensive."
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Answers from the Community

it_user1272297 - PeerSpot reviewer
Apr 19, 2020
Apr 19, 2020
I haven't used SQream personally. However, if you are only considering GPU based rdbms's please check the following https://hackernoon.com/which-gpu-database-is-right-for-me-6ceef6a17505
2 out of 4 answers
Russell Rothstein - PeerSpot reviewer
Jan 27, 2020
Morten, the most popular comparisons of SQream can be found here: https://www.itcentralstation.com/products/sqream-db-alternatives-and-competitors The top ones include Cassandra, MemSQL, MongoDB, and Vertica.
reviewer1219965 - PeerSpot reviewer
Jan 27, 2020
I haven't used SQream personally. However, if you are only considering GPU based rdbms's please check the following https://hackernoon.com/which-gpu-database-is-right-for-me-6ceef6a17505
 

Top Industries

By visitors reading reviews
Financial Services Firm
18%
Computer Software Company
15%
Comms Service Provider
7%
Retailer
6%
Financial Services Firm
15%
Computer Software Company
13%
Manufacturing Company
8%
University
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What do you like most about Cassandra?
The use of Cassandra in real-time data analytics has been pivotal for our e-commerce platform. As our platform operates 24/7, providing services to sellers and customers alike, the need for real-ti...
What needs improvement with Cassandra?
While Cassandra can handle NoSQL, I think there should be more flexibility for whole schema design when data is stored in wide columns. Additionally, I believe that eventual consistency should be e...
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...
 

Comparisons

 

Overview

 

Sample Customers

1. Apple 2. Netflix 3. Facebook 4. Instagram 5. Twitter 6. eBay 7. Spotify 8. Uber 9. Airbnb 10. Adobe 11. Cisco 12. IBM 13. Microsoft 14. Yahoo 15. Reddit 16. Pinterest 17. Salesforce 18. LinkedIn 19. Hulu 20. Airbnb 21. Walmart 22. Target 23. Sony 24. Intel 25. Cisco 26. HP 27. Oracle 28. SAP 29. GE 30. Siemens 31. Volkswagen 32. Toyota
Facebook, MetLife, City of Chicago, Expedia, eBay, Google
Find out what your peers are saying about Cassandra vs. MongoDB and other solutions. Updated: July 2025.
862,624 professionals have used our research since 2012.