DB-EnginesInfluxDB download bannerEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Google Cloud Datastore vs. Microsoft Azure Cosmos DB vs. searchxml

System Properties Comparison Google Cloud Datastore vs. Microsoft Azure Cosmos DB vs. searchxml

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonsearchxml  Xexclude from comparison
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformGlobally distributed, horizontally scalable, multi-model database serviceDBMS for structured and unstructured content wrapped with an application server
Primary database modelDocument storeDocument store
Graph DBMS
Key-value store
Wide column store
Native XML DBMS
Search engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.02
Rank#80  Overall
#12  Document stores
Score34.71
Rank#25  Overall
#3  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score0.00
Rank#351  Overall
#7  Native XML DBMS
#19  Search engines
Websitecloud.google.com/­datastoreazure.microsoft.com/­services/­cosmos-dbwww.searchxml.net/­category/­products
Technical documentationcloud.google.com/­datastore/­docsdocs.microsoft.com/­azure/­cosmos-dbwww.searchxml.net/­support/­handouts
DeveloperGoogleMicrosoftinformationpartners gmbh
Initial release200820142015
Current release1.0
License infoCommercial or Open Sourcecommercialcommercialcommercial
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 systemshostedhostedWindows
Data schemeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyes, details hereyes infoJSON typesyes
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.noyes
Secondary indexesyesyes infoAll properties auto-indexed by defaultyes
SQL infoSupport of SQLSQL-like query language (GQL)SQL-like query languageno
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
RESTful HTTP API
WebDAV
XQuery
XSLT
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
C++ infomost other programming languages supported via APIs
Server-side scripts infoStored proceduresusing Google App EngineJavaScriptyes infoon the application server
TriggersCallbacks using the Google Apps EngineJavaScriptno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud servicenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using Paxosyes infoImplicit feature of the cloud serviceyes infosychronisation to multiple collections
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflowwith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*no
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.Bounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
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 TransactionsMulti-item ACID transactions with snapshot isolation within a partitionmultiple readers, single writer
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.nono
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights can be defined down to the item levelDomain, group and role-based access control at the document level and for application services

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
3rd partiesCData: Connect to Big Data & NoSQL through standard Drivers.
» more

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

More resources
Google Cloud DatastoreMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBsearchxml
Recent citations in the news

Teradata expands data analytics offerings on Google Cloud
5 May 2021, IT Brief New Zealand

Key-Value Stores Market Size and Growth 2021-2027 | Top Companies – Redis, Azure Redis Cache, ArangoDB, Hbase, Google Cloud Datastore, Aerospike, BoltDB, Couchbase – KSU | The Sentinel Newspaper
11 May 2021, KSU | The Sentinel Newspaper

ChaosSearch adds SQL support to deliver multicloud business intelligence
13 May 2021, SiliconANGLE News

Global Key-Value Stores Market Top Positioning Key Player Analysis and Competitive Landscape 2021-2027 – The Courier
12 May 2021, The Courier

A closer look at IBM AutoSQL
12 May 2021, ZDNet

provided by Google News

Blowing your mind with F# | Azure Cosmos DB Conf - Microsoft
20 April 2021, Channel 9

Azure SDK Gets Communications Services Libraries, Based on Teams Tech
22 April 2021, Visual Studio Magazine

NoSQL Databases Software Market Size and Growth 2021-2027 | Top Companies – MongoDB, Amazon, ArangoDB, Azure Cosmos DB, Couchbase, MarkLogic, RethinkDB, CouchDB – KSU | The Sentinel Newspaper
11 May 2021, KSU | The Sentinel Newspaper

Can We Trust the Cloud Not to Fail?
11 May 2021, InfoQ.com

NoSQL Software Market Trends Analysis, Forecast by 2025 Key Players – MongoDB, OrientDB, Amazon, Azure Cosmos DB, Couchbase, ArangoDB & More – Brockville Observer
13 May 2021, Brockville Observer

provided by Google News

Job opportunities

Engineering Manager, Google Cloud Platform
Google, Mountain View, CA

Full Stack Engineer
Unusual Ventures, San Francisco, CA

Senior Data Analyst
Policygenius, Durham, NC

Cloud Microservices Developer
Oracle, Massachusetts

Software Engineer, Platform Consultancy (Remote Eligible, Americas)
Spotify, New York, NY

jobs by Indeed




Share this page

Featured Products

MariaDB logo

SkySQL, the ultimate
MariaDB cloud, is here.

Get started with SkySQL today!

Neo4j logo

Get your free copy of the new O'Reilly book Graph Algorithms with 20+ examples for
machine learning, graph analytics and more.

Datastax Astra logo

Build cloud-native apps fast with Astra, the open-source, multi-cloud stack for
modern data apps.
Get started with 5 GB free..

AllegroGraph logo

Graph Database Leader for AI Knowledge Graph Applications - The Most Secure Graph Database Available.
Free Download

Couchbase logo

SQL + JSON + NoSQL.
Power, flexibility & scale.
All open source.
Get started now.

Present your product here