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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

"Its retrieval is similar to an RDBMS, so our team finds it easy to adapt."
"We can add almost one million columns to the solution."
"The most valuable features of Cassandra are its scaling capabilities and its non-SQL nature capabilities."
"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."
"Can achieve continuous data without a single downtime because of node to node ring architecture."
"The most valuable features of this solution are its speed and distributed nature."
"Some of the valued features of this solution are it has good performance and failover."
"The most valuable features of Cassandra are the NoSQL database, high performance, and zero-copy streaming."
"MongoDB is simpler to learn and implement than traditional SQL solutions like MySQL."
"like its performance and the stability. It's very stable and, performance-wise, it's really great."
"MongoDB's approach to handling data in documents rather than traditional tables has been particularly beneficial."
"The aggregation framework is really good, allowing a developer to build very complex queries."
"MongoDB's best features are scalability, document management, and data security."
"I like the schemaless architecture that it follows. I also like the sharding that it provides."
"It is convenient to use because we can do manipulations with the JSON data that we get. There are also a lot of joins and associations with MongoDB, which makes it easy to use for us."
"The geospatial index feature is useful for dealing with latitude and longitude data."
 

Cons

"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."
"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."
"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."
"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 could be more user-friendly like MongoDB."
"The disc space is lacking. You need to free it up as you are working."
"The solution is limited to a linear performance."
"Maybe they can improve their performance in data fetching from a high volume of data sets."
"I rate the support from MongoDB a four out of five."
"It has certain limitations when it comes to handling hierarchical data, enforcing relationships, and performing complex joins, which should be taken into account when designing databases for applications with intricate data requirements."
"There is a need for improvement in MongoDB's customer support."
"MongoDB could improve by not having so many updates and different versions."
"The solution could have more integration."
"I don't see a lot of areas that need improvement."
"Some of the solution's transaction capabilities can be improved."
"I suppose it could be a little more secure."
 

Pricing and Cost Advice

"We pay for a license."
"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."
"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."
"We are using the Community Edition of MongoDB."
"It's open-source."
"There is an enterprise license and it could be cheaper. We are using the free open source version."
"I don't know, but I have heard from people who procure it that it is much cheaper than Oracle."
"We use the open-source version, which is available to use free of charge."
"MongoDB is not expensive."
"You only have to pay for the paid version, not the open-source version."
"MongoDB has a free version. You can also buy the enterprise edition, which is cheaper than Oracle."
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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
15%
Comms Service Provider
7%
Retailer
6%
Financial Services Firm
15%
Computer Software Company
13%
Manufacturing Company
8%
University
7%
 

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.