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Head-to-head · Wide-Column Databases

Apache Cassandra vs Apache HBase

  • Updated Oct 2026
  • Both researched from official sources
  • 4 checks side by side
Higher score Apache Cassandra #1 in Wide-Column Databases 9.3/10 Open source ✓ 3 of 3 features Try Apache Cassandra
Apache HBase #6 in Wide-Column Databases 8.7/10 Free plan Free plan✓ 2 of 3 features Visit Apache HBase

Apache Cassandra leads on 1 check, Apache HBase on 0, and 3 are even. Who comes out ahead on the 4 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreApache Cassandra · 9.3/10
  • Free planonly Apache HBase
  • Most featuresApache Cassandra · 3 of 3

Apache Cassandra scores higher on our rubric for wide-column databases: 9.3 against 8.7 out of 10; our editors rank them #1 and #6.

On query interface, Apache HBase gives you Multiple where Apache Cassandra offers Cql. On consistency controls, Apache HBase gives you Configurable where Apache Cassandra offers Tunable. Apache Cassandra offers transaction support; Apache HBase doesn't.

Apache Cassandra is the better fit for mature self-hosted Cassandra-compatible deployments. Apache HBase is the better fit for free self-hosted HBase-compatible infrastructure.

  • Apache Cassandra fits best

    Mature self-hosted Cassandra-compatible deployments

  • Apache HBase fits best

    Free self-hosted HBase-compatible infrastructure

Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.

Side by side

Feature Apache Cassandra 9.3/10 Visit ↗ Apache HBase 8.7/10 Visit ↗
At a glance
Editor score 9.3 8.7
Ranking #1 in Wide-Column Databases #6 in Wide-Column Databases
Best for Mature self-hosted Cassandra-compatible deployments Free self-hosted HBase-compatible infrastructure
Pricing model Free Free
Starting price Open source Free plan
Free plan Not checked yet ✓ (best)
Free trial — —
Deployment Self-hosted, Desktop Self-hosted
Platforms Web, Windows, macOS, Linux Linux
Support Community, Docs Community, Docs
Built for Small business, Mid-market, Enterprise Mid-market, Enterprise
Features Apache Cassandra 3/3 · Apache HBase 2/3
Multi-region support ✓ ✓
Transaction support ✓ (best) —
Horizontal scaling ✓ ✓
Specs
Deployment model Self_hosted Self_hosted
Query interface Cql Multiple
Consistency controls Tunable Configurable
Maximum row size Not checked yet Not checked yet
Our review
Pros
  • Partitioned wide-column model with CQL query access
  • Datacenter replication and tunable consistency controls
  • Horizontal scaling by adding nodes
  • Real-time reads and writes for very large tables
  • Automatic sharding and RegionServer failover
  • Java, REST, and Thrift access gateways
Cons
  • Self-managed deployment requires infrastructure ownership
  • CQL is the primary query interface
  • Desktop deployment uses Docker on supported operating systems
  • Self-hosted deployment requires teams to operate the infrastructure
  • Platform coverage is limited to Linux
  • Not ACID-compliant and does not provide transactions
Our verdict

Apache Cassandra is an open-source, distributed NoSQL database built around a partitioned wide-column storage model. It is aimed at teams managing self-hosted workloads that need high-volume reads and writes, large datasets, fault…

Read the review →

Apache HBase is an open-source, distributed wide-column data store modeled after Google Bigtable. It is designed for teams operating scalable clusters that need random, real-time reads and writes across very large tables, including…

Read the review →
  1. Apache CassandraWide-Column Databases 9.3Open source
  2. Apache HBaseWide-Column Databases 8.7Free plan

Strengths and trade-offs

  • Apache Cassandra — where it wins

    • Partitioned wide-column model with CQL query access
    • Datacenter replication and tunable consistency controls
    • Horizontal scaling by adding nodes

    Where it doesn't

    • Self-managed deployment requires infrastructure ownership
    • CQL is the primary query interface
    • Desktop deployment uses Docker on supported operating systems
  • Apache HBase — where it wins

    • Real-time reads and writes for very large tables
    • Automatic sharding and RegionServer failover
    • Java, REST, and Thrift access gateways

    Where it doesn't

    • Self-hosted deployment requires teams to operate the infrastructure
    • Platform coverage is limited to Linux
    • Not ACID-compliant and does not provide transactions

More comparisons

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Last updated · How we research and update