Google Cloud Bigtable vs Apache HBase

Google Cloud Bigtable4.6Visit AHApache HBase—Visit

Higher score Google Cloud Bigtable #2 in Wide-Column Databases 4.6/10 10-day trial ✓ 0 of 3 features Visit Google Cloud

vs

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

• Google Cloud Bigtable fits best

  Managed wide-column workloads with rich cloud integrations

• Apache HBase fits best

  Free self-hosted HBase-compatible infrastructure

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Side by side

Feature	Google Cloud Bigtable 4.6/10 Visit ↗	AHApache HBase —/10 Visit ↗
At a glance
Editor score	4.6	—
Ranking	#2 in Wide-Column Databases	#6 in Wide-Column Databases
Best for	Managed wide-column workloads with rich cloud integrations	Free self-hosted HBase-compatible infrastructure
Pricing model	Paid	Free
Starting price	Not published	Not published
Free plan	—	✓ (best)
Free trial	—	—
Deployment	Cloud	Self-hosted
Platforms	Web	Linux
Integrations	8 integrations	6 integrations
Features Google Cloud Bigtable 0/3 · Apache HBase 2/3
Multi-region support	Not published	✓ (best)
Transaction support	Not published	—
Horizontal scaling	Not published	✓ (best)
Specs
Deployment model	Not published	Self_hosted
Query interface	Not published	Multiple
Consistency controls	Not published	Configurable
Maximum row size	Not published	Not published
Our review
Pros	Autoscaling, replication, backups, and expiration controls Supports GoogleSQL, HBase, Cassandra, gRPC, and REST/HTTP Integrates with BigQuery, Dataflow, Spark, Vertex AI, and LangChain	Real-time reads and writes for very large tables Automatic sharding and RegionServer failover Java, REST, and Thrift access gateways
Cons	Usage-based pricing includes node, storage, and network charges No perpetual free plan; the free trial starts at 10 days Cloud deployment may not suit workloads requiring other models	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	Google Cloud Bigtable is a managed NoSQL database for high-throughput, low-latency applications built on key-value and wide-column data models. It is aimed at large datasets across time-series, operational analytics, machine learning, IoT,… 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

• Google Cloud Bigtable — where it wins

  • Autoscaling, replication, backups, and expiration controls
  • Supports GoogleSQL, HBase, Cassandra, gRPC, and REST/HTTP
  • Integrates with BigQuery, Dataflow, Spark, Vertex AI, and LangChain

  Where it doesn't

  • Usage-based pricing includes node, storage, and network charges
  • No perpetual free plan; the free trial starts at 10 days
  • Cloud deployment may not suit workloads requiring other models

• 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

• Google Cloud Bigtable4.6/10 · 10-day trial

  A scalable managed database for wide-column workloads with deep Google Cloud integration.

  Visit Google CloudFull verdict →
• AHApache HBase—/10 · Free plan

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

  Visit Apache HBaseFull verdict →