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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

"The most valuable features are the counter features and the NoSQL schema. It also has good scalability. You can scale Cassandra to any finite level."
"The most valuable feature of Cassandra is its fast retrieval. Additionally, the solution can handle large amounts of data. It is the quickest application we use."
"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."
"Our primary use case for the solution is testing."
"Since I haven't had years of experience with it, it's still new to me. One valuable feature is its distribution, so I can run it partly in the cloud and part on-prem. That's a feature I'd like to use but haven't yet because we're trying to move to Azure. I don't know if or when that will happen. Ideally, we'd have it distributed over the cloud and on-prem simultaneously, so if something happens to our on-prem, we can keep going in the cloud, like a pay-as-you-go model with Azure."
"Overall, I would rate Cassandra as nine because of its fast writes, which really suit our use cases mostly."
"Some of the valued features of this solution are it has good performance and failover."
"Can achieve continuous data without a single downtime because of node to node ring architecture."
"The most valuable feature is that you can store unstructured data, which is helpful when you don't know what the best structure should be and you cannot use a relational database because of that."
"The aggregation framework is very powerful when elaborating on data."
"The most valuable feature is the speed of MongoDB."
"The tool is also user-friendly."
"The community is great if you have problem."
"The most valuable feature of MongoDB is the ease of connections, aggregation, and queries."
"One of the first things I noticed when I had my first experience with MongoDB was how easy it was to use. I was expecting more difficulties or at least some challenges, but it was very, very easy to use. It's great technology, performs well, and is very convenient."
"We find the query and speed very valuable."
 

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."
"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."
"Cassandra is very complex to manage. Sometimes, I need to involve a senior DevOps engineer if we encounter a problem."
"Depending upon our schema, we can't make ORDER BY or GROUP BY clauses in the product."
"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 enhanced."
"We experience configuration issues when accommodating the volumes we require, which often necessitates consultation with the Cassandra development team."
"I want Cassandra to update its open-source version more quickly. It's already feature-rich, but I'd appreciate better integration with other NoSQL databases like MariaDB or MongoDB. If I ever need to work with customers or vendors using different NoSQL databases, having native integration in Cassandra would make managing and interacting with their databases much easier."
"Maybe they can improve their performance in data fetching from a high volume of data sets."
"The performance can be improved."
"I'd like to see an ID generator. It's very technical but I don't think it has one, so we have to go to great lengths to work around that."
"There can be stability issues."
"We find it difficult to incorporate MongoDB in some projects."
"There was a need for integrating relational database capabilities, however, MongoDB has introduced a relational converter that allows conversion between SQL and NoSQL."
"Lacks sufficient scalability and elasticity."
"I have found the solution difficult to operate as an administrator."
"The performance could be faster."
 

Pricing and Cost Advice

"We pay for a license."
"I use the tool's open-source version."
"We are using the open-source version of Cassandra, the solution is free."
"I don't have the specific numbers on pricing, but it was fairly priced."
"There are licensing fees that must be paid, but I'm not sure if they are paid monthly or yearly."
"Cassandra is a free open source solution, but there is a commercial version available called DataStax Enterprise."
"There is an annual subscription for the use of this solution."
"I believe that MongoDB is free."
"MongoDB is an open-source solution."
"MongoDB's pricing is reasonable."
"At the moment, all customers are using the community version."
"This is an open-source solution."
"I only used the open-source version."
"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
19%
Computer Software Company
14%
Comms Service Provider
7%
Retailer
6%
Financial Services Firm
15%
Computer Software Company
12%
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.
863,429 professionals have used our research since 2012.