DBMS > Google Cloud Bigtable vs. Google Cloud Datastore

System Properties Comparison Google Cloud Bigtable vs. Google Cloud Datastore

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Our visitors often compare Google Cloud Bigtable and Google Cloud Datastore with Google BigQuery, Amazon DynamoDB and Google Cloud Firestore.

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.

Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud Platform

Primary database model

Wide column store

Document store

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

Score	3.81
Rank	#85	Overall
	#7	Wide column stores

Score	5.27
Rank	#71	Overall
	#12	Document stores

Website

cloud.google.com/bigtable

cloud.google.com/datastore

Technical documentation

cloud.google.com/bigtable/docs

cloud.google.com/datastore/docs

Developer

Google

Initial release

2015

2008

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

yes, details here

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

yes

SQL

Support of SQL

SQL-like query language (GQL)

APIs and other access methods

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

gRPC (using protocol buffers) API
RESTful HTTP/JSON API

Supported programming languages

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

.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby

Server-side scripts

Stored procedures

using Google App Engine

Triggers

Callbacks using the Google Apps Engine

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

Multi-source replication using Paxos

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

using Google Cloud Dataflow

Consistency concepts

Methods to ensure consistency in a distributed system

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

Immediate Consistency or Eventual Consistency depending on type of query and configuration

Strong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.

Foreign keys

Referential integrity

yes

via ReferenceProperties or Ancestor paths

Transaction concepts

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

Atomic single-row operations

ACID

Serializable Isolation within Transactions, Read Committed outside of Transactions

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

Google Cloud makes it cheaper to run smaller workloads on Bigtable
7 April 2020, TechCrunch

7 Best NoSQL APIs
8 January 2021, ProgrammableWeb

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

Database as a Service (DBaaS) Provider Market Overview with Detailed Analysis, Competitive landscape, Forecast to 2025 – Jumbo News
22 January 2021, Jumbo News

Google's Bigtable goes public as a cloud managed NoSQL database
6 May 2015, ZDNet

provided by Google News

Key-Value Stores Market 2021 by Top Key Players- Redis Azure Redis Cache ArangoDB Hbase Google Cloud Datastore Aerospike BoltDB Couchbase Memcached Oracle DataStax Infinispan
20 January 2021, Murphy's Hockey Law

If your APIs are too messy, clap your hands: Google beats drum for Registry API • DEVCLASS
12 January 2021, DevClass

Google Cloud Datastore has Monday meltdown, tips other services over • DEVCLASS
11 November 2019, DevClass

Organizing Information about APIs with Google Registry API
9 January 2021, InfoQ.com

Global Key-Value Stores Market Top Manufacturers Analysis by 2026: Redis, Azure Redis Cache, ArangoDB, Hbase, Google Cloud Datastore etc.
19 January 2021, Jumbo News

provided by Google News

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