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Head-to-head · Wide-Column Databases

Apache Cassandra vs Google Cloud Bigtable

  • Updated Oct 2026
  • Both researched from official sources
  • 4 checks side by side
Higher score Apache Cassandra #1 in Wide-Column Databases 9.3/10 Open source ✓ 3 of 3 features Try Apache Cassandra
Google Cloud Bigtable #2 in Wide-Column Databases 9.1/10 10-day trial Free trial✓ 0 of 3 features Visit Google Cloud

Apache Cassandra leads on 0 checks, Google Cloud Bigtable on 0, and 4 are 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 scoreApache Cassandra · 9.3/10
  • Free trialonly Google Cloud Bigtable
  • Most featuresApache Cassandra · 3 of 3

Apache Cassandra scores higher on our rubric for wide-column databases: 9.3 against 9.1 out of 10; our editors rank them #1 and #2.

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

Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.

Side by side

Feature Apache Cassandra 9.3/10 Visit ↗ Google Cloud Bigtable 9.1/10 Visit ↗
At a glance
Editor score 9.3 9.1
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 Open source $0.65/device usage-based
Free plan Not checked yet —
Free trial — 10 days
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 checked yet
Transaction support ✓ (best) Not checked yet
Horizontal scaling ✓ (best) Not checked yet
Specs
Deployment model Self_hosted Not checked yet
Query interface Cql Not checked yet
Consistency controls Tunable Not checked yet
Maximum row size Not checked yet Not checked yet
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 9.3Open source
  2. Google Cloud BigtableWide-Column Databases 9.110-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 Oct 2026

Last updated · How we research and update