vs

Apache Accumulo vs Apache HBase

Apache Accumulo: Sorted, distributed key-value store on HDFS with cell-level security labels. Apache HBase: Hadoop's Bigtable clone: strongly consistent wide-column tables on top of HDFS.

key differences

  • Only Apache HBase has triggers, encryption at rest, online schema changes.

choose apache-accumulo for

  • +Multi-level-security data platforms in government
  • +Large graph and index storage with custom iterators
  • +Secure data lakes needing per-cell authorization

best at · OLTP, Metadata, Graph analytics

choose apache-hbase for

  • +Large sparse tables within an existing Hadoop cluster
  • +Time-series and metrics backends (OpenTSDB)
  • +Random read/write access to batch-processed data
  • +Message and event history stores

best at · OLTP, Time-series, Metadata

overview
Primary model
Wide-Column
Wide-Column
Also supports
Key-Value
Key-Value
Type
Database engine
Database engine
Status
Active
Active
Developer
Apache Software Foundation
Apache Software Foundation
First release
2008
2008
Latest version
2.1.6 (Jul 13, 2026)
3.0.0 (Aug 6, 2026)
License
Open source (permissive)Apache License 2.0
Open source (permissive)Apache License 2.0
Free tier
✓
✓
popularity
WhichDB Score
15.3
26.6
Rank
#218
#110
GitHub stars
1.2K
5.6K
Stack Overflow questions
267
6.9K
scale & guarantees
Comfortable data size
Massive (Multi-PB)
Massive (Multi-PB)
Horizontal scaling
Native
Native
Multi-region
Read replicas
Read replicas
ACID
Limited
Limited
Consistency
Strong
Strong
Schema
Schemaless
Flexible
Architecture
Distributed, Shared storage, Client server
Distributed, Shared storage, Client server
deployment
Self-hosted
✓
✓
Vendor-managed cloud
—
—
Serverless
—
—
Embedded
—
—
Edge
—
—
Clouds
–
AWS, Azure, Alibaba Cloud
capabilities
Transactions
—
—
Joins
—
—
Secondary indexes
—
—
Full-text search
—
—
Vector search
—
—
Geospatial
—
—
JSON
—
—
Change data capture
—
—
Triggers
—
✓
Stored procedures
✓
✓
Materialized views
—
—
TTL / expiry
✓
✓
Pub/Sub
—
—
Columnar storage
—
—
In-memory
—
—
Durable persistence
✓
✓
Compression
✓
✓
Encryption at rest
—
✓
Role-based access
✓
✓
Time travel
✓
✓
Branching
—
—
Online schema changes
—
✓
Streaming ingest
—
—
Offline sync
—
—
Runs in WebAssembly
—
—
interfaces
Query languages
Accumulo Java API
HBase API, HBase shell
Client languages
Java, Python
Java, Python, C++, Go
Best for
OLTP, Metadata, Graph analytics
OLTP, Time-series, Metadata, IoT

Apache Accumulo vs Apache HBase: FAQ

What is the difference between Apache Accumulo and Apache HBase?

Apache Accumulo: Sorted, distributed key-value store on HDFS with cell-level security labels. Apache HBase: Hadoop's Bigtable clone: strongly consistent wide-column tables on top of HDFS. Only Apache HBase has triggers, encryption at rest, online schema changes.

When should I choose Apache Accumulo over Apache HBase?

Choose Apache Accumulo for multi-level-security data platforms in government; large graph and index storage with custom iterators; and secure data lakes needing per-cell authorization. Choose Apache HBase for large sparse tables within an existing Hadoop cluster; time-series and metrics backends (OpenTSDB); and random read/write access to batch-processed data.

Is Apache Accumulo or Apache HBase more popular?

Apache HBase ranks #110 on the WhichDB Score (26.6/100) and Apache Accumulo ranks #218 (15.3/100). Popularity is not fit: check the requirements that matter for your project.

Are Apache Accumulo and Apache HBase open source?

Yes. Apache Accumulo is open source. License: Apache License 2.0. Yes. Apache HBase is open source. License: Apache License 2.0.