vs

Apache Accumulo vs Google Cloud Bigtable

Apache Accumulo: Sorted, distributed key-value store on HDFS with cell-level security labels. Google Cloud Bigtable: Google's managed wide-column store, the original Bigtable, with HBase API and SQL access.

key differences

  • Licensing: Apache Accumulo is open source (permissive) (Apache License 2.0); Google Cloud Bigtable is proprietary (Proprietary (Google Cloud service)).
  • Only Apache Accumulo has stored procedures.
  • Only Google Cloud Bigtable has change data capture, encryption at rest, streaming ingest.

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 google-cloud-bigtable for

  • +Time-series and IoT telemetry
  • +Ad-tech user profiles and bidding data
  • +ML feature serving
  • +Financial market data

best at · OLTP, Time-series, IoT

overview
Primary model
Wide-Column
Wide-Column
Also supports
Key-Value
Key-Value
Type
Database engine
Managed service
Status
Active
Active
Developer
Apache Software Foundation
Google
First release
2008
2015
Latest version
2.1.6 (Jul 13, 2026)
–
License
Open source (permissive)Apache License 2.0
ProprietaryProprietary (Google Cloud service)
Free tier
✓
—
popularity
WhichDB Score
15.3
33.3
Rank
#218
#66
GitHub stars
1.2K
–
Stack Overflow questions
267
648
scale & guarantees
Comfortable data size
Massive (Multi-PB)
Massive (Multi-PB)
Horizontal scaling
Native
Native
Multi-region
Read replicas
Active active
ACID
Limited
Limited
Consistency
Strong
Strong, Eventual
Schema
Schemaless
Flexible
Architecture
Distributed, Shared storage, Client server
Distributed, Shared storage
deployment
Self-hosted
✓
—
Vendor-managed cloud
—
✓
Serverless
—
—
Embedded
—
—
Edge
—
—
Clouds
–
Google 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
Bigtable API, GoogleSQL
Client languages
Java, Python
Java, Go, Python, JavaScript, C++, C#, Ruby, PHP
Best for
OLTP, Metadata, Graph analytics
OLTP, Time-series, IoT, Feature store

Apache Accumulo vs Google Cloud Bigtable: FAQ

What is the difference between Apache Accumulo and Google Cloud Bigtable?

Apache Accumulo: Sorted, distributed key-value store on HDFS with cell-level security labels. Google Cloud Bigtable: Google's managed wide-column store, the original Bigtable, with HBase API and SQL access. Licensing: Apache Accumulo is open source (permissive) (Apache License 2.0); Google Cloud Bigtable is proprietary (Proprietary (Google Cloud service)). Only Apache Accumulo has stored procedures. Only Google Cloud Bigtable has change data capture, encryption at rest, streaming ingest.

When should I choose Apache Accumulo over Google Cloud Bigtable?

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 Google Cloud Bigtable for time-series and IoT telemetry; ad-tech user profiles and bidding data; and ML feature serving.

Is Apache Accumulo or Google Cloud Bigtable more popular?

Google Cloud Bigtable ranks #66 on the WhichDB Score (33.3/100) and Apache Accumulo ranks #218 (15.3/100). Popularity is not fit: check the requirements that matter for your project.

Are Apache Accumulo and Google Cloud Bigtable open source?

Yes. Apache Accumulo is open source. License: Apache License 2.0. No. Google Cloud Bigtable is proprietary, closed-source software.