Apache HBase vs Cassandra comparison

Cancel
You must select at least 2 products to compare!
Apache Logo
1,319 views|1,266 comparisons
0% willing to recommend
Apache Logo
3,406 views|2,666 comparisons
89% willing to recommend
Comparison Buyer's Guide
Executive Summary

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

Find out what your peers are saying about MongoDB, Couchbase, InfluxData and others in NoSQL Databases.
To learn more, read our detailed NoSQL Databases Report (Updated: April 2024).
769,236 professionals have used our research since 2012.
Featured Review
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."

More Apache HBase Pros →

"Our primary use case for the solution is testing.""The most valuable features are the counter features and the NoSQL schema. It also has good scalability. You can scale Cassandra to any finite level.""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.""Some of the valued features of this solution are it has good performance and failover.""The time series data was one of the best features along with auto publishing.""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.""The solution's database capabilities are very good."

More Cassandra Pros →

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

More Apache HBase Cons →

"The secondary index in Cassandra was a bit problematic and could be improved.""The disc space is lacking. You need to free it up as you are working.""Maybe they can improve their performance in data fetching from a high volume of data sets.""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.""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 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.""Depending upon our schema, we can't make ORDER BY or GROUP BY clauses in the product.""Fine-tuning was a bit of a challenge."

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."
  • "There are licensing fees that must be paid, but I'm not sure if they are paid monthly or yearly."
  • "We are using the open-source version of Cassandra, the solution is free."
  • "We pay for a license."
  • "I don't have the specific numbers on pricing, but it was fairly priced."
  • More Cassandra Pricing and Cost Advice →

    report
    Use our free recommendation engine to learn which NoSQL Databases solutions are best for your needs.
    769,236 professionals have used our research since 2012.
    Questions from the Community
    Top Answer:Apache HBase is a database used for data storage.
    Top Answer:I don't like using Apache HBase to store huge amounts of data because of many performance issues.
    Top Answer:I would not recommend Apache HBase to other users. There are more efficient solutions available in the market that have fixed many limitations presented by Apache HBase. Overall, I rate Apache HBase a… more »
    Top Answer: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… more »
    Top Answer: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… more »
    Ranking
    10th
    out of 18 in NoSQL Databases
    Views
    1,319
    Comparisons
    1,266
    Reviews
    1
    Average Words per Review
    157
    Rating
    4.0
    4th
    out of 18 in NoSQL Databases
    Views
    3,406
    Comparisons
    2,666
    Reviews
    7
    Average Words per Review
    358
    Rating
    7.3
    Comparisons
    Accumulo logo
    Compared 39% of the time.
    ScyllaDB logo
    Compared 19% of the time.
    MongoDB logo
    Compared 10% of the time.
    CouchDB logo
    Compared 6% of the time.
    Couchbase logo
    Compared 21% of the time.
    InfluxDB logo
    Compared 13% of the time.
    MongoDB logo
    Compared 12% of the time.
    ScyllaDB logo
    Compared 11% of the time.
    Aerospike Database 7 logo
    Compared 2% of the time.
    Also Known As
    HBase
    Learn More
    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
    Top Industries
    VISITORS READING REVIEWS
    Computer Software Company20%
    Financial Services Firm19%
    Manufacturing Company10%
    Educational Organization7%
    REVIEWERS
    Comms Service Provider25%
    Computer Software Company13%
    University13%
    Financial Services Firm13%
    VISITORS READING REVIEWS
    Financial Services Firm20%
    Computer Software Company15%
    Comms Service Provider7%
    Healthcare Company6%
    Company Size
    VISITORS READING REVIEWS
    Small Business24%
    Midsize Enterprise11%
    Large Enterprise65%
    REVIEWERS
    Small Business39%
    Large Enterprise61%
    VISITORS READING REVIEWS
    Small Business19%
    Midsize Enterprise13%
    Large Enterprise69%
    Buyer's Guide
    NoSQL Databases
    April 2024
    Find out what your peers are saying about MongoDB, Couchbase, InfluxData and others in NoSQL Databases. Updated: April 2024.
    769,236 professionals have used our research since 2012.

    Apache HBase is ranked 10th in NoSQL Databases with 1 review while Cassandra is ranked 4th in NoSQL Databases with 19 reviews. Apache HBase is rated 4.0, while Cassandra is rated 8.0. The top reviewer of Apache HBase writes "The solution has many performance issues, though it helps manage consumer data sets". On the other hand, the top reviewer of Cassandra writes "Well-equipped to handle a massive influx of data and billions of requests". Apache HBase is most compared with Accumulo, ScyllaDB, MongoDB, Aerospike Database 7 and CouchDB, whereas Cassandra is most compared with Couchbase, InfluxDB, MongoDB, ScyllaDB and Aerospike Database 7.

    See our list of best NoSQL Databases vendors.

    We monitor all NoSQL Databases reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.