Apache Cassandra vs Apache HBase

Apache Cassandra—Visit AHApache HBase—Visit

Apache Cassandra #1 in Wide-Column Databases —/10 Open source ✓ 3 of 3 features Try Apache Cassandra

vs

AH Apache HBase #6 in Wide-Column Databases —/10 Free plan Free plan✓ 2 of 3 features Visit Apache HBase

• Apache Cassandra fits best

  Mature self-hosted Cassandra-compatible deployments

• Apache HBase fits best

  Free self-hosted HBase-compatible infrastructure

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Side by side

Feature	Apache Cassandra —/10 Visit ↗	AHApache HBase —/10 Visit ↗
At a glance
Editor score	—	—
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	Not published	Not published
Free plan	Not published	✓ (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 published	Not published
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 →

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

• Apache Cassandra—/10 · Open source

  A mature self-hosted Cassandra-compatible database for distributed, high-volume workloads.

  Try Apache CassandraFull verdict →
• AHApache HBase—/10 · Free plan

  A strong fit for teams running open-source HBase-compatible infrastructure on Linux.

  Visit Apache HBaseFull verdict →