Apache HBase vs Cassandra comparison

Apache HBase and Cassandra are both solutions in the NoSQL Databases category. Apache HBase is ranked #13 with an average rating of 6.0, while Cassandra is ranked #5 with an average rating of 7.3. Apache HBase holds a 4.9% mindshare in ND, compared to Cassandra’s 13.2% mindshare. Additionally, 50% of Apache HBase users are willing to recommend the solution, compared to 90% of Cassandra users who would recommend it.

Apache HBase

Read 2 Apache HBase reviews

967 Views
897 Comparison Views

50% willing to recommend

Cassandra

Read 21 Cassandra reviews

2,273 Views
2,000 Comparison Views

90% willing to recommend

Apache HBase

Cassandra

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Apache HBase and Cassandra based on real PeerSpot user reviews.

Find out in this report how the two NoSQL Databases solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed Apache HBase vs. Cassandra Report (Updated: December 2024).

Buyer's Guide

Apache HBase vs. Cassandra

December 2024

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Categories and Ranking

Apache HBase

Ranking in NoSQL Databases

13th

Average Rating

6.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Cassandra

Ranking in NoSQL Databases

5th

Average Rating

8.0

Reviews Sentiment

4.4

Number of Reviews

Ranking in other categories

Vector Databases (14th)

Mindshare comparison

As of December 2024, in the NoSQL Databases category, the mindshare of Apache HBase is 4.9%, down from 5.8% compared to the previous year. The mindshare of Cassandra is 13.2%, up from 12.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

NoSQL Databases

Featured Reviews

Sekhar Reddy B

Principal Software Engineer at Securonix

Offers real-time aggregations and easy for a beginner to learn to use this

We use it for real-time data grouping The most valuable part is the column family structure. We mainly use it for real-time aggregations. That's why we prefer it as a NoSQL database. We've seen performance issues when we have more regions. The product needs improvement in that area. So we…

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Himanshu Amodwala

Senior cloud solution architect at Microsoft

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.

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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

"Apache HBase is a database used for data storage."

"The most valuable part is the column family structure."

"The most valuable features of this solution are its speed and distributed nature."

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

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

"I am satisfied with the performance."

"The technical evaluation is very good."

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

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

"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."

More Cassandra pros

Cons

"I don't like using Apache HBase to store huge amounts of data because of many performance issues."

"We've seen performance issues."

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

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

"The solution doesn't have joins between tables so you need other tools for that."

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

"Cassandra can improve by adding more built-in tools. For example, if you want to do some maintenance activities in the cluster, we have to depend on third-party tools. Having these tools build-in would be e benefit."

"The solution is not easy to use because it is a big database and you have to learn the interface. This is the case though in most of these solutions."

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

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

More Cassandra cons

Pricing and Cost Advice

Information not available

"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."

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

"There are licensing fees that must be paid, but I'm not sure if they are paid monthly or yearly."

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

"We pay for a license."

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Top Industries

By visitors reading reviews

Financial Services Firm

22%

Computer Software Company

16%

Manufacturing Company

10%

Government

Financial Services Firm

20%

Computer Software Company

15%

Healthcare Company

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What do you like most about Apache HBase?

Apache HBase is a database used for data storage.

See all answers

What needs improvement with Apache HBase?

We've seen performance issues when we have more regions. The product needs improvement in that area. So we experience performance issues sometimes when the load increases.

See all answers

What advice do you have for others considering Apache HBase?

It's better to use AWS DynamoDB or Cassandra. I would rate it an eight out of ten. It is easy for a beginner to learn.

See all answers

What do you like most about Cassandra?

See all answers

What is your experience regarding pricing and costs for Cassandra?

I am not familiar with the experience of pricing, setup cost, and licensing.

See all answers

What needs improvement with Cassandra?

We experience configuration issues when accommodating the volumes we require, which often necessitates consultation with the Cassandra development team. This aspect is room for improvement. Additio...

See all answers

Comparisons

Accumulo vs Apache HBase

Compared 33% of the time

ScyllaDB vs Apache HBase

Compared 22% of the time

Aerospike Database 7 vs Apache HBase

Compared 15% of the time

MongoDB vs Apache HBase

Compared 6% of the time

CouchDB vs Apache HBase

Compared 5% of the time

More Apache HBase Competitors

Couchbase vs Cassandra

Compared 22% of the time

MongoDB vs Cassandra

Compared 15% of the time

Chroma vs Cassandra

Compared 9% of the time

ScyllaDB vs Cassandra

Compared 7% of the time

Vertica vs Cassandra

Compared 2% of the time

More Cassandra Competitors

Product Reports

Buyer's Guide

NoSQL Databases

December 2024

Download Apache HBase product report

Buyer's Guide

Cassandra

December 2024

Download Cassandra product report

Also Known As

HBase

No data available

Learn More

Apache

Overview

Apache HBase is an open-source, distributed, versioned, non-relational database modeled after Google's BigTable. Just as Bigtable leverages the distributed data storage provided by the Google File System, Apache HBase provides Bigtable-like capabilities on top of Hadoop and HDFS.

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.

Sample Customers

Bloomberg, Wells Fargo, Apple, Capital One, NVIDIA

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

Buyer's Guide

Apache HBase vs. Cassandra

December 2024

Free Report: Apache HBase vs. Cassandra

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