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 8.1, while IBM is ranked #14 with an average rating of 8.0. Apache holds a 7.8% mindshare in ND, compared to IBM’s 2.6% 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

2,478 Views
1,611 Comparison Views

92% willing to recommend

DataStax Enterprise

Read 1 DataStax Enterprise review

711 Views
356 Comparison Views

100% willing to recommend

Cassandra

DataStax Enterprise

Comparison Buyer's Guide

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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 NoSQL Databases Report (Updated: March 2026).

Buyer's Guide

NoSQL Databases

March 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

14th

Ranking in Vector Databases

15th

Average Rating

8.0

Reviews Sentiment

7.2

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of March 2026, in the NoSQL Databases category, the mindshare of Cassandra is 7.8%, down from 11.5% compared to the previous year. The mindshare of DataStax Enterprise is 2.6%, up from 0.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.

NoSQL Databases Mindshare Distribution
Product	Mindshare (%)
Cassandra	7.8%
DataStax Enterprise	2.6%
Other	89.6%

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

"Our primary use case for the solution is testing."

"Overall, I would rate Cassandra as nine because of its fast writes, which really suit our use cases mostly."

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

"Can achieve continuous data without a single downtime because of node to node ring architecture."

"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."

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

"Some of the valued features of this solution are it has good performance and failover."

"I'd rate the solution ten out of ten."

More Cassandra pros

"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."

Cons

"Doesn't support a solution that can give aggregation."

"We found some issues with the batch inserts when the data volume is large."

"Cassandra could be more user-friendly like MongoDB."

"Batching bulk data can cause performance issues."

"The solution is limited to a linear performance."

"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."

"Some issues arise from our vendors like Apache slowness and distribution or load balancing from HAProxy, which should better handle consumption for high-level concurrency."

"Interface is not user friendly."

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."

Pricing and Cost Advice

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

"We are using the open-source version of Cassandra, the solution is free."

"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."

"We pay for a license."

"I don't have the specific numbers on pricing, but it was fairly priced."

Information not available

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Top Industries

By visitors reading reviews

Financial Services Firm

14%

Computer Software Company

Comms Service Provider

Retailer

11%

Financial Services Firm

11%

Manufacturing Company

11%

Computer Software Company

10%

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	8
Midsize Enterprise	1
Large Enterprise	14

No data available

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...

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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 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?

I think DataStax Enterprise can be improved by having a hybrid on-prem and cloud solution with Astra. Better compatibility with prior versions in terms of codebases should also be improved. More wa...

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What is your primary use case for DataStax Enterprise?

DataStax Enterprise serves as the primary database for all transactional processing in my organization. DataStax Enterprise provides linear scale as well as multi-data center real-time replication ...

See all answers

Comparisons

ClickHouse vs Cassandra

Compared 10% of the time

MongoDB Enterprise Advanced vs Cassandra

Compared 10% of the time

Couchbase Enterprise vs Cassandra

Compared 7% of the time

ScyllaDB vs Cassandra

Compared 5% of the time

Pinecone vs Cassandra

Compared 3% of the time

More Cassandra Competitors

Pinecone vs DataStax Enterprise

Compared 13% of the time

ClickHouse vs DataStax Enterprise

Compared 11% of the time

ScyllaDB vs DataStax Enterprise

Compared 10% of the time

Neo4j Graph Database vs DataStax Enterprise

Compared 10% of the time

Cloudera Distribution for Hadoop vs DataStax Enterprise

Compared 9% of the time

More DataStax Enterprise Competitors

Product Reports

Buyer's Guide

Cassandra

March 2026

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Buyer's Guide

NoSQL Databases

March 2026

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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

Find out what your peers are saying about MongoDB, Microsoft, Couchbase and others in NoSQL Databases. Updated: March 2026.

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