Cassandra vs DataStax Enterprise comparison

Apache and IBM are both solutions in the NoSQL Databases category. Apache is ranked #7 with an average rating of 8.5, while IBM is ranked #10 with an average rating of 8.6. Apache holds a 8.2% mindshare in ND, compared to IBM’s 3.2% mindshare. Additionally, 92% of Apache users are willing to recommend the solution, compared to 100% of IBM users who would recommend it.

Cassandra

Read 25 Cassandra reviews

3,354 Views
2,113 Comparison Views

92% willing to recommend

DataStax Enterprise

Read 5 DataStax Enterprise reviews

1,165 Views
617 Comparison Views

100% willing to recommend

Cassandra

DataStax Enterprise

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Executive SummaryUpdated on Feb 8, 2026

DataStax Enterprise and Cassandra compete in the scalable data management category. DataStax Enterprise holds the upper hand due to its advanced support and features, while Cassandra's affordability is appealing for cost-sensitive needs.

Features: DataStax Enterprise offers advanced security, analytics, and search capabilities. Cassandra provides elastic scalability and fault tolerance, with flexibility as a key advantage.

Ease of Deployment and Customer Service: DataStax Enterprise has a streamlined deployment model and robust customer service to minimize downtime. Cassandra requires in-house expertise for optimal deployment but offers a versatile model.

Pricing and ROI: DataStax Enterprise involves higher setup costs justified by feature-rich offerings and notable ROI. Cassandra incurs minimal initial costs and delivers substantial ROI for budget-focused entities.

To learn more, read our detailed Cassandra vs. DataStax Enterprise Report (Updated: April 2026).

Buyer's Guide

Cassandra vs. DataStax Enterprise

April 2026

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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

Cassandra

Ranking in NoSQL Databases

7th

Ranking in Vector Databases

14th

Average Rating

8.0

Reviews Sentiment

6.0

Number of Reviews

Ranking in other categories

No ranking in other categories

DataStax Enterprise

Ranking in NoSQL Databases

10th

Ranking in Vector Databases

15th

Average Rating

8.6

Reviews Sentiment

7.4

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of May 2026, in the NoSQL Databases category, the mindshare of Cassandra is 8.2%, down from 10.6% compared to the previous year. The mindshare of DataStax Enterprise is 3.2%, up from 1.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

NoSQL Databases Mindshare Distribution
Product	Mindshare (%)
Cassandra	8.2%
DataStax Enterprise	3.2%
Other	88.6%

NoSQL Databases

Featured Reviews

Monirul Islam Khan

Head, Data Integration & Management at a non-profit with 10,001+ employees

Has maintained secure document storage and efficient data distribution with peer-to-peer architecture

The functions or features in Cassandra that I have found most valuable are that it is a distributed system similar to Mongo. It's good enough for comparison with another SQL database, so it's smooth and organized for distributed database system. The peer-to-peer architecture in Cassandra is helpful for network decentralization, and I have already introduced that feature. Cassandra features in peer-to-peer as well as another monitoring, so basically, it's good enough for our service. The tunable consistency level in Cassandra is good, and we are using that feature already. In terms of built-in caching and lightweight transactions in Cassandra, the transaction level is good, and it's optimized, so there are no more issues in that database. Based on my experience, Cassandra is good for document management system, as well as distributed database system, and the automatic recovery process is there. Additionally, the database monitoring system or auditing system is well-comparable with other database systems, so we are actually happy to be using this Cassandra database.

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Suzanne Kimono

Senior Software Engineer at Deloitte

Continuous data access has ensured high uptime and has supported real-time transactional processing

The best features DataStax Enterprise offers include scaling, speed of data access, and ease of use for those familiar with traditional SQL. The scaling and speed of data access have benefited my team because the scaling and the speeding of data provide linear scale as well as multi-data centers' real-time replication of data such that we can maintain uptime even with the loss of multiple data centers. It enables us to maintain our uptime, which is very crucial for our clients. DataStax Enterprise has positively impacted my organization by providing the ability to have our services up and running even with a total outage at one of our data centers. There is no need to maintain windows since we can turn off data centers while doing maintenance and then put them back in the rotation and move on. I can share specific outcomes or metrics that show this positive impact, such as improvements in performance of about 60% and a reduction in downtime of about 40 to 45%, which is very great.

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Quotes from Members

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

Pros

"Based on my experience, Cassandra is good for document management system, as well as distributed database system, and the automatic recovery process is there."

"I am satisfied with the performance; so far it has done fairly well and there haven't been any complaints."

"The most valuable feature for us is the technical evaluation, it's the best technology."

"The solution provided us with more than 100K PNRs a second and because the company was international there was a heavy data write, and at the same time a heavy data read."

"Cassandra is good, it's better than CouchDB, and we are using it in parallel with CouchDB, as Cassandra looks better and is more user-friendly."

"Setup was very straightforward."

"The technical evaluation is very good."

"The solution's database capabilities are very good."

More Cassandra pros

"DataStax Enterprise positively impacted my organization by allowing us to contribute to our main feature development in the product and not worry much about these different services."

"Some of the positive outcomes I see are that system stability improved a lot, there is no single point of failure, so downtime is reduced significantly, and the system stays up even when we face issues in a node."

"DataStax Enterprise has positively impacted my organization as we are now an e-commerce website that has never faced downtime, which helps our business to boom and significantly enhances our customer experience."

"I can share specific outcomes or metrics that show this positive impact, such as improvements in performance of about 60% and a reduction in downtime of about 40 to 45%, which is very great."

"I can share specific outcomes resulting from using DataStax Enterprise as we have been seeing an uptick in user adoption, since the introduction of this, our users have jumped from around 20,000 to 50,000."

Cons

"The secondary index in Cassandra was a bit problematic and could be improved."

"We experience configuration issues when accommodating the volumes we require, which often necessitates consultation with the Cassandra development team."

"Maybe they can improve their performance in data fetching from a high volume of data sets."

"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."

"The solution is limited to a linear performance."

"The interface could definitely be improved. It's a technical database and for me the features are not user friendly."

"The solution is not easy to use because it is a big database and you have to learn the interface."

"Maybe they can improve their performance in data fetching from a high volume of data sets."

More Cassandra cons

"If not keeping current with updates, updating from an older major version to a newer major version can be a bit complicated and time-consuming, but DataStax Enterprise support will help us with this."

"My experience with pricing, setup cost, and licensing is that I feel the cost is a bit expensive compared to the open-source implementation of Cassandra, and the initial cluster setup is complex."

"There is still room for improvement and DataStax Enterprise can definitely improve their UI."

"I believe that DataStax Enterprise could be improved by working more on making the OpsCenter user interface more user-friendly, particularly regarding the fonts and overall UI."

Pricing and Cost Advice

"Cassandra is a free open source solution, but there is a commercial version available called DataStax Enterprise."

"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."

"I use the tool's open-source version."

"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."

Information not available

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Top Industries

By visitors reading reviews

Financial Services Firm

16%

Comms Service Provider

Computer Software Company

Retailer

Financial Services Firm

14%

Retailer

10%

Manufacturing Company

10%

Media Company

10%

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	9
Midsize Enterprise	2
Large Enterprise	14

By reviewers
Company Size	Count
Small Business	2
Large Enterprise	5

Questions from the Community

What is your experience regarding pricing and costs for Cassandra?

The pricing for Cassandra is a little bit high, so it would be better for our community services if they consider community pricing for any non-profit organization like an NGO or other things. It w...

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What needs improvement with Cassandra?

Regarding areas of improvement for Cassandra, currently, we are not facing significant issues. Some issues arise from our vendors like Apache slowness and distribution or load balancing from HAProx...

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What is your primary use case for Cassandra?

My use case for Cassandra is for a document and other unstructured data management system as well as structured data for ultra-poor member community edition, community members' PII information, so ...

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What is your experience regarding pricing and costs for DataStax Enterprise?

My experience with pricing, setup cost, and licensing indicates that the cost is a bit affordable, especially for my organization. However, for smaller organizations working under a tight budget, i...

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What needs improvement with DataStax Enterprise?

DataStax Enterprise can provide other solutions that are well-suited for other use cases such as an auditing system or writing systems. Additionally, many other details can be provided for monitori...

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What is your primary use case for DataStax Enterprise?

My main use case for DataStax Enterprise is handling the high-volume transactional data in a distributed system. I work on an application where we need to store and process a large amount of real-t...

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Comparisons

ClickHouse vs Cassandra

Compared 9% of the time

MongoDB Enterprise Advanced vs Cassandra

Compared 8% of the time

ScyllaDB vs Cassandra

Compared 5% of the time

Couchbase Enterprise vs Cassandra

Compared 5% of the time

Accumulo vs Cassandra

Compared 4% of the time

More Cassandra Competitors

Pinecone vs DataStax Enterprise

Compared 12% of the time

Neo4j Graph Database vs DataStax Enterprise

Compared 11% of the time

Cloudera Distribution for Hadoop vs DataStax Enterprise

Compared 11% of the time

ClickHouse vs DataStax Enterprise

Compared 10% of the time

ScyllaDB vs DataStax Enterprise

Compared 9% of the time

More DataStax Enterprise Competitors

Product Reports

Buyer's Guide

Cassandra

May 2026

Download Cassandra product report

Buyer's Guide

DataStax Enterprise

May 2026

Download DataStax Enterprise product report

Overview

Cassandra is a distributed and scalable database management system used for real-time data processing.

It is highly valued for its ability to handle large amounts of data, scalability, high availability, fault tolerance, and flexible data model.

It is commonly used in finance, e-commerce, and social media industries.

Apache

DataStax Enterprise offers a high-performance, scalable database solution designed for modern data requirements, supporting a wide array of use cases that demand real-time analytics and robust security.

Focusing on delivering powerful distributed databases, DataStax Enterprise integrates the open-source foundation of Apache Cassandra, delivering enhanced features for enterprises. It supports mission-critical applications at scale, providing real-time query capabilities and fault tolerance. Designed with high availability and operational efficiency, it supports complex data models and simplifies management with advanced tools for monitoring and repair.

What are the standout features of DataStax Enterprise?

Advanced Security: Provides comprehensive data protection with encryption and identity management.
Graph Database Support: Allows complex data relationships to be easily modeled and queried.
Search Integration: Facilitates full-text search capabilities combined with Cassandra's strengths.
Analytics: Offers integrated analytics with Apache Spark for real-time data processing.
Multi-Cloud Support: Ensures easy deployment across different cloud environments without vendor lock-in.

What benefits should reviews highlight?

Scalability: Seamlessly expands to accommodate growing data volumes and user demands.
Performance: Maintains high-speed data processing even at massive scales.
Resilience: Provides high availability to ensure business continuity.
Cost Efficiency: Enables optimization of infrastructure investments with flexible deployments.

In industries such as finance, telecommunications, and retail, DataStax Enterprise is implemented to handle immense data workloads, often leveraging its capabilities for fraud detection, personalized customer experiences, and real-time decision-making. Its deployment in these sectors highlights its adaptability and performance in demanding environments.

IBM

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

ING, Netflix, UBS, eBay, Constant Contact, Aeris, Arise, ClearCapital, Dyn, Engine, Noble Group, Pantheon, Target

Buyer's Guide

Cassandra vs. DataStax Enterprise

April 2026

Free Report: Cassandra vs. DataStax Enterprise

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