Cassandra vs DataStax Enterprise comparison

Why PeerSpot?

Apache and IBM are both solutions in the NoSQL Databases category. Apache is ranked #5 with an average rating of 8.6, while IBM is ranked #11 with an average rating of 8.4. Apache holds a 8.3% mindshare in ND, compared to IBM’s 3.6% 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

4,978 Views
3,086 Comparison Views

92% willing to recommend

DataStax Enterprise

Read 7 DataStax Enterprise reviews

1,825 Views
1,022 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 Cassandra vs. DataStax Enterprise Report (Updated: September 2026).

Buyer's Guide

Cassandra vs. DataStax Enterprise

September 2026

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Helped 913,683 peers since 2012

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

5th

Ranking in Vector Databases

12th

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

11th

Ranking in Vector Databases

15th

Average Rating

8.6

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of September 2026, in the NoSQL Databases category, the mindshare of Cassandra is 8.3%, down from 8.7% compared to the previous year. The mindshare of DataStax Enterprise is 3.6%, up from 1.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

NoSQL Databases Mindshare Distribution
Product	Mindshare (%)
Cassandra	8.3%
DataStax Enterprise	3.6%
Other	88.1%

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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Pooja Singh

Devops Specialist at a tech vendor with 10,001+ employees

Reliable backup and recovery has protected critical telecom customer data in daily operations

When I was taking the backup with a data volume of 15 to 20 GB, the full backup running for the first time did not provide metrics to understand what percent of progress had been made. We had to read the logs, but we did not see any percentage in those logs. This is an improvement item for DataStax Enterprise to provide metrics, a bar, or a percentage so we can grasp how much data has been backed up or restored. There are no graphs available to make us aware of how long the process will take to complete, which is a drawback I noticed during backup and restore. In addition, I notice a huge time lag during restoration because each node takes a lot of time to be added to the pool and to the cluster node, one by one. The entire time the production is down presents a concerning situation. There should be an alternative for restoring where data can be provided to live traffic so it does not impact customers in the case of a disaster.

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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

"It's used as our cloud based backend store as a temporary cache and for storing data that streams through our data pipe."

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

"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."

"Its retrieval is similar to an RDBMS, so our team finds it easy to adapt."

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

"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."

"Ability to achieve write speeds 10k tps: Compared to existing, it is 300% percent higher."

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

More Cassandra pros

"DataStax Enterprise has positively impacted my organization by helping us handle large amounts of data more easily and quickly, improving our system speed, and making our application more reliable."

"The customer support for DataStax Enterprise is amazing, as any requests I have raised receive prompt responses, often within minutes, and the support engineers are knowledgeable and helpful."

"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."

"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 is highly scalable, very reliable, and easy to manage and troubleshoot, helping us host a lot of complicated data efficiently because it is an upgraded version of relational database systems based on Cassandra, with a backup and recovery process that is also pretty smooth."

"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."

"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."

Cons

"Interface is not user friendly."

"The disc space is lacking. You need to free it up as you are working."

"Fine-tuning was a bit of a challenge."

"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."

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

"The clustering needs to be better; it is getting there."

"There could be more integration, and it could be more user-friendly."

"Cassandra is very complex to manage. Sometimes, I need to involve a senior DevOps engineer if we encounter a problem."

More Cassandra cons

"I believe DataStax Enterprise could be easier in areas such as operational complexity, especially for those coming from a traditional relational database background."

"In addition, I notice a huge time lag during restoration because each node takes a lot of time to be added to the pool and to the cluster node, one by one."

"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."

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

"The user interface of DataStax Enterprise can be simpler and easier to use, especially for new users, and I think it should be improved in that area."

"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."

"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

"We pay for a license."

"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."

"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."

Information not available

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Top Industries

By visitors reading reviews

Financial Services Firm

15%

Comms Service Provider

10%

Construction Company

Outsourcing Company

Financial Services Firm

14%

Outsourcing Company

11%

Construction Company

Manufacturing Company

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	3
Large Enterprise	7

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 is pretty good. I do not find any difficulty in it.

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What needs improvement with DataStax Enterprise?

The user interface of DataStax Enterprise can be simpler and easier to use, especially for new users, and I think it should be improved in that area. Additionally, more built-in monitoring and aler...

See all answers

What is your primary use case for DataStax Enterprise?

My main use cases for DataStax Enterprise are building a scalable and high availability application that needs to handle large amounts of data across multiple locations, and for real-time analytics...

See all answers

Comparisons

ClickHouse vs Cassandra

Compared 7% of the time

MongoDB Enterprise Advanced vs Cassandra

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Neo4j Graph Database vs Cassandra

Compared 6% of the time

Cloudera Distribution for Hadoop vs Cassandra

Compared 5% of the time

ScyllaDB vs Cassandra

Compared 5% of the time

More Cassandra Competitors

Cloudera Distribution for Hadoop vs DataStax Enterprise

Compared 10% of the time

Pinecone vs DataStax Enterprise

Compared 9% of the time

Neo4j Graph Database vs DataStax Enterprise

Compared 8% of the time

ClickHouse vs DataStax Enterprise

Compared 7% of the time

ScyllaDB vs DataStax Enterprise

Compared 7% of the time

More DataStax Enterprise Competitors

Product Reports

Buyer's Guide

Cassandra

September 2026

Download Cassandra product report

Buyer's Guide

DataStax Enterprise

September 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

September 2026

Free Report: Cassandra vs. DataStax Enterprise

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