DB-EnginesExtremeDB: white paper about the mission critical dbmsEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Google Cloud Datastore vs. Microsoft Azure Table Storage vs. SiriDB

System Properties Comparison Google Cloud Datastore vs. Microsoft Azure Table Storage vs. SiriDB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonSiriDB  Xexclude from comparison
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformA Wide Column Store for rapid development using massive semi-structured datasetsOpen Source Time Series DBMS
Primary database modelDocument storeWide column storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.34
Rank#76  Overall
#12  Document stores
Score5.91
Rank#70  Overall
#6  Wide column stores
Score0.08
Rank#381  Overall
#40  Time Series DBMS
Websitecloud.google.com/­datastoreazure.microsoft.com/­en-us/­services/­storage/­tablessiridb.com
Technical documentationcloud.google.com/­datastore/­docsdocs.siridb.com
DeveloperGoogleMicrosoftCesbit
Initial release200820122017
License infoCommercial or Open SourcecommercialcommercialOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud serviceyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC
Server operating systemshostedhostedLinux
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyes, details hereyesyes infoNumeric data
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonono
Secondary indexesyesnoyes
SQL infoSupport of SQLSQL-like query language (GQL)nono
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
RESTful HTTP APIHTTP API
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Go
Python
Server-side scripts infoStored proceduresusing Google App Enginenono
TriggersCallbacks using the Google Apps Enginenono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using Paxosyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong 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.Immediate Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of Transactionsoptimistic lockingno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights based on private key authentication or shared access signaturessimple rights management via user accounts

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Google Cloud DatastoreMicrosoft Azure Table StorageSiriDB
Recent citations in the news

NetApp pushes ONTAP into VMware's Google Cloud Engine – Blocks and Files
7 February 2023, Blocks and Files

Google’s Cloud Platform Gets Improved Hadoop Support With BigQuery And Cloud Datastore Connectors
16 April 2014, TechCrunch

Google announces new faster API for Google Cloud Datastore
4 April 2016, 9to5Google

What is Google Cloud?
1 February 2022, TechTarget

At a High Level: Microsoft Azure vs. Google Cloud Platform
13 September 2019, eWeek

provided by Google News

Quick Guide to Azure Storage Pricing
16 May 2023, DevOps.com

How to use Azure Table storage in .Net
14 January 2019, InfoWorld

How to write data to Azure Table Store with an Azure Function
14 April 2017, Experts Exchange

Understanding Azure Storage: Storage Types and Redundancy
17 March 2022, Petri.com

Get to know Microsoft Azure Cosmos DB use cases
11 November 2019, TechTarget

provided by Google News

Job opportunities

Cloud Services Fellow
Zebra Technologies, Kennesaw, GA

Senior Software Engineer
Legalist, San Francisco, CA

Senior Full Stack Engineer for Payment Initiation Platform - Assistant Vice President
Deutsche Bank, Cary, NC

Data Engineer
Miracle Software Systems, Georgia

Staff Software Developer
BECU, Washington State

Principal Software Engineer - Storage Platform IO
Snowflake, Bellevue, WA

Principal Software Engineer - Storage Platform IO
Snowflake, San Mateo, CA

Principal Software Engineer - Storage Platform
Snowflake, San Mateo, CA

Full-Stack .NET Developer
Rhythmedix, Mount Laurel, NJ

E T Consultant
World Bank Group, Washington, DC

jobs by Indeed



Share this page

Featured Products

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Redis logo

The world’s most loved real‑time data platform.
Try free

SingleStore logo

Build AI apps with Vectors on SQL and JSON with milliseconds response times.
Try it today.

MariaDB logo

SkySQL, the ultimate
MariaDB cloud, is here.

Get started with SkySQL today!

Present your product here