vs

Azure Table Storage vs Google Cloud Bigtable

Azure Table Storage: Cheap, schemaless key-attribute store inside an Azure Storage account. Google Cloud Bigtable: Google's managed wide-column store, the original Bigtable, with HBase API and SQL access.

key differences

  • Azure Table Storage is primarily a key-value database; Google Cloud Bigtable is wide-column.
  • Google Cloud Bigtable is built for larger datasets (Multi-PB) than Azure Table Storage (≤ 1 PB).
  • Only Azure Table Storage has transactions.
  • Only Google Cloud Bigtable has change data capture, ttl / expiry, compression, time travel, streaming ingest.
  • Azure Table Storage has a serverless option; Google Cloud Bigtable does not.

choose azure-table-storage for

  • +Application logs and diagnostics
  • +Device and user metadata keyed by ID
  • +Lightweight configuration storage
  • +Cheap archival of structured records

best at · Metadata, IoT, Coordination

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
Key-Value
Wide-Column
Also supports
Wide-Column
Key-Value
Type
Managed service
Managed service
Status
Active
Active
Developer
Microsoft
Google
First release
2010
2015
Latest version
–
–
License
ProprietaryProprietary (Azure service)
ProprietaryProprietary (Google Cloud service)
Free tier
—
—
popularity
WhichDB Score
19.7
33.3
Rank
#162
#66
GitHub stars
–
–
Stack Overflow questions
2.4K
648
scale & guarantees
Comfortable data size
Large (≤ 1 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, Serverless
Distributed, Shared storage
deployment
Self-hosted
—
—
Vendor-managed cloud
✓
✓
Serverless
✓
—
Embedded
—
—
Edge
—
—
Clouds
Azure
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
OData
Bigtable API, GoogleSQL
Client languages
C#, .NET, Java, Python, JavaScript, Go
Java, Go, Python, JavaScript, C++, C#, Ruby, PHP
Best for
Metadata, IoT, Coordination, Observability
OLTP, Time-series, IoT, Feature store

Azure Table Storage vs Google Cloud Bigtable: FAQ

What is the difference between Azure Table Storage and Google Cloud Bigtable?

Azure Table Storage: Cheap, schemaless key-attribute store inside an Azure Storage account. Google Cloud Bigtable: Google's managed wide-column store, the original Bigtable, with HBase API and SQL access. Azure Table Storage is primarily a key-value database; Google Cloud Bigtable is wide-column. Google Cloud Bigtable is built for larger datasets (Multi-PB) than Azure Table Storage (≤ 1 PB). Only Azure Table Storage has transactions.

When should I choose Azure Table Storage over Google Cloud Bigtable?

Choose Azure Table Storage for application logs and diagnostics; device and user metadata keyed by ID; and lightweight configuration storage. Choose Google Cloud Bigtable for time-series and IoT telemetry; ad-tech user profiles and bidding data; and ML feature serving.

Is Azure Table Storage or Google Cloud Bigtable more popular?

Google Cloud Bigtable ranks #66 on the WhichDB Score (33.3/100) and Azure Table Storage ranks #162 (19.7/100). Popularity is not fit: check the requirements that matter for your project.

Are Azure Table Storage and Google Cloud Bigtable open source?

No. Azure Table Storage is proprietary, closed-source software. No. Google Cloud Bigtable is proprietary, closed-source software.