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Head-to-head · Wide-Column Databases

Apache Cassandra vs Google Cloud Bigtable

  • Updated Sep 2026
  • Both researched from official sources
  • 4 checks side by side
Apache Cassandra #1 in Wide-Column Databases —/10 Open source ✓ 3 of 3 features Try Apache Cassandra
Higher score Google Cloud Bigtable #2 in Wide-Column Databases 4.6/10 10-day trial ✓ 0 of 3 features Visit Google Cloud

Apache Cassandra leads on 3 checks, Google Cloud Bigtable on 0, and 1 is 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 scoreGoogle Cloud Bigtable · 4.6/10
  • Most featuresApache Cassandra · 3 of 3

Our editors rank Apache Cassandra at #1 and Google Cloud Bigtable at #2 for wide-column databases; Apache Cassandra has no rubric score yet (facts researched, not yet scored), so the checks below decide.

Apache Cassandra offers multi-region support; Google Cloud Bigtable doesn't publish it. Apache Cassandra offers transaction support; Google Cloud Bigtable doesn't publish it. Apache Cassandra offers horizontal scaling; Google Cloud Bigtable doesn't publish it.

Apache Cassandra is the better fit for mature self-hosted Cassandra-compatible deployments. Google Cloud Bigtable is the better fit for managed wide-column workloads with rich cloud integrations.

  • Apache Cassandra fits best

    Mature self-hosted Cassandra-compatible deployments

  • Google Cloud Bigtable fits best

    Managed wide-column workloads with rich cloud integrations

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Side by side

Feature Apache Cassandra —/10 Visit ↗ Google Cloud Bigtable 4.6/10 Visit ↗
At a glance
Editor score — 4.6
Ranking #1 in Wide-Column Databases #2 in Wide-Column Databases
Best for Mature self-hosted Cassandra-compatible deployments Managed wide-column workloads with rich cloud integrations
Pricing model Free Paid
Starting price Not published Not published
Free plan Not published —
Free trial — —
Deployment Self-hosted, Desktop Cloud
Platforms Web, Windows, macOS, Linux Web
Features Apache Cassandra 3/3 · Google Cloud Bigtable 0/3
Multi-region support ✓ (best) Not published
Transaction support ✓ (best) Not published
Horizontal scaling ✓ (best) Not published
Specs
Deployment model Self_hosted Not published
Query interface Cql Not published
Consistency controls Tunable Not published
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
  • Autoscaling, replication, backups, and expiration controls
  • Supports GoogleSQL, HBase, Cassandra, gRPC, and REST/HTTP
  • Integrates with BigQuery, Dataflow, Spark, Vertex AI, and LangChain
Cons
  • Self-managed deployment requires infrastructure ownership
  • CQL is the primary query interface
  • Desktop deployment uses Docker on supported operating systems
  • 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
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 →

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 →
  1. Apache CassandraWide-Column Databases —Open source
  2. Google Cloud BigtableWide-Column Databases 4.610-day trial

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
  • 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

More comparisons

Reviewed by iTechGuides Editors · Editorial team · Updated Sep 2026