Google Cloud Bigtable vs Azure Cosmos DB for Apache Cassandra

Google Cloud Bigtable4.6Visit Azure Cosmos DB for Apache Cassandra8.8Visit

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

vs

Higher score Azure Cosmos DB for Apache Cassandra #3 in Wide-Column Databases 8.8/10 Free plan · 30-day trial Free plan✓ 3 of 3 features Visit site

• Google Cloud Bigtable fits best

  Managed wide-column workloads with rich cloud integrations

• Azure Cosmos DB for Apache Cassandra fits best

  Cassandra workloads needing managed global distribution

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Side by side

Feature	Google Cloud Bigtable 4.6/10 Visit ↗	Azure Cosmos DB for Apache Cassandra 8.8/10 Visit ↗
At a glance
Editor score	4.6	8.8
Ranking	#2 in Wide-Column Databases	#3 in Wide-Column Databases
Best for	Managed wide-column workloads with rich cloud integrations	Cassandra workloads needing managed global distribution
Pricing model	Paid	Free plan + paid
Starting price	Not published	Not published
Free plan	—	✓ (best)
Free trial	—	—
Free trial length	10 days	30 days
Deployment	Cloud	Cloud
Platforms	Web	Web
Features Google Cloud Bigtable 0/3 · Azure Cosmos DB for Apache Cassandra 3/3
Multi-region support	Not published	✓ (best)
Transaction support	Not published	✓ (best)
Horizontal scaling	Not published	✓ (best)
Specs
Deployment model	Not published	Managed
Query interface	Not published	Cql
Consistency controls	Not published	Configurable
Maximum row size	Not published	2 MB
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	CQL v3.11, Cassandra driver, and tool compatibility Multi-region distribution and writes with five consistency levels Managed scaling, backups, partitioning, and automatic indexing
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	Paid pricing varies by usage and region The free tier applies to one account per Azure subscription The 30-day trial is limited to non-production databases
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 →	Azure Cosmos DB for Apache Cassandra is a fully managed NoSQL database service for running Cassandra workloads in the cloud. It is aimed at teams that need wide-column storage with Cassandra Query Language (CQL) v3.11 compatibility,… 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

• Azure Cosmos DB for Apache Cassandra — where it wins

  • CQL v3.11, Cassandra driver, and tool compatibility
  • Multi-region distribution and writes with five consistency levels
  • Managed scaling, backups, partitioning, and automatic indexing

  Where it doesn't

  • Paid pricing varies by usage and region
  • The free tier applies to one account per Azure subscription
  • The 30-day trial is limited to non-production databases

• 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 →
• Azure Cosmos DB for Apache Cassandra8.8/10 · Free plan · 30-day trial

  A managed Cassandra option for globally distributed workloads with CQL compatibility.

  Visit siteFull verdict →