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Google Cloud Bigtable System Properties

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Editorial information provided by DB-Engines

Name

Description

Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.

Primary database model

Key-value store
Wide column store

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	2.75
Rank	#97	Overall
	#15	Key-value stores
	#7	Wide column stores

Website

cloud.google.com/bigtable

Technical documentation

cloud.google.com/bigtable/docs

Developer

Google

Initial release

2015

License

Commercial or Open Source

commercial

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Server operating systems

hosted

Data scheme

schema-free

Typing

predefined data types such as float or date

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

Secondary indexes

SQL

Support of SQL

Yes. As of 2025, Google Cloud Bigtable supports SQL as a generally available feature. It is based on GoogleSQL and includes support for JSON functions, VIEWs, continuous materialized views, and map types and other features for working with collections of data, i.e the NoSQL data that is traditionally stored in Bigtable's NoSQL model.

cloud.google.com/bigtable/docs/googlesql-overview

APIs and other access methods

gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)

Supported programming languages

C#
C++
Go
Java
JavaScript (Node.js)
Python
SQL

Server-side scripts

Stored procedures

Triggers

Partitioning methods

Methods for storing different data on different nodes

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Internal replication in Colossus, and regional replication between two clusters in different zones

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)

Foreign keys

Referential integrity

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

Atomic single-row operations

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

User concepts

Access control

Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)

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More resources

Recent citations in the news

Review: Google Bigtable scales with ease
7 September 2016, InfoWorld

Google Launches Bigtable, A Big Managed Database In The Cloud
6 May 2015, Forbes

Google Introduces Zero-ETL Approach to Analytics on Bigtable Data Using BigQuery
11 August 2022, infoq.com

Google introduces Bigtable SQL access and Spanner's new AI-ready features
1 August 2024, ZDNET

Fire, water, knock out Google Cloud in Paris
27 April 2023, The Stack

provided by Google News

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