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DBMS > Apache Ignite vs. Google Cloud Datastore vs. Microsoft Azure Cosmos DB

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

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Editorial information provided by DB-Engines
NameApache Ignite  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparison
DescriptionApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformGlobally distributed, horizontally scalable, multi-model database service
Primary database modelKey-value store
Relational DBMS
Document storeDocument store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.10
Rank#82  Overall
#12  Key-value stores
#43  Relational DBMS
Score3.70
Rank#71  Overall
#12  Document stores
Score22.55
Rank#26  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#2  Wide column stores
Websiteignite.apache.orgcloud.google.com/­datastoreazure.microsoft.com/­services/­cosmos-db
Technical documentationapacheignite.readme.io/­docscloud.google.com/­datastore/­docslearn.microsoft.com/­azure/­cosmos-db
DeveloperApache Software FoundationGoogleMicrosoft
Initial release201520082014
Current release2.16.0, December 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, Java, .Net
Server operating systemsLinux
OS X
Solaris
Windows
hostedhosted
Data schemeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes, details hereyes infoJSON types
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.yesno
Secondary indexesyesyesyes infoAll properties auto-indexed by default
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLSQL-like query language (GQL)SQL-like query language
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
.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
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)using Google App EngineJavaScript
Triggersyes (cache interceptors and events)Callbacks using the Google Apps EngineJavaScript
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Multi-source replication using Paxosyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)yes infousing Google Cloud Dataflowwith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate 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
Foreign keys infoReferential integritynoyes infovia ReferenceProperties or Ancestor pathsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsMulti-item ACID transactions with snapshot isolation within a partition
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.yesno
User concepts infoAccess controlSecurity Hooks for custom implementationsAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights can be defined down to the item level

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More resources
Apache IgniteGoogle Cloud DatastoreMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB
Recent citations in the news

The Apache Software Foundation Announces Apache Ignite® 3.0
24 February 2025, GlobeNewswire

Critical Flaw in Apache Ignite (CVE-2024-52577) Allows Attackers to Execute Code Remotely
19 February 2025, GBHackers News

Critical Apache Ignite Vulnerability Let Attackers Execute Remote Code
19 February 2025, CybersecurityNews

Announcing the Ignite Summit 2025 Conference Schedule
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Microsoft Announces General Availability of Data API Builder for Azure Cosmos DB
6 July 2024, infoq.com

Start your AI journey with Microsoft Azure Cosmos DB—compete for $10K
9 May 2024, Microsoft Azure

How to use Azure Cosmos DB in .Net
10 July 2024, InfoWorld

Building Planet-Scale .NET Apps with Azure Cosmos DB
4 June 2024, Visual Studio Magazine

Microsoft Announces Open-Source DocumentDB NoSQL Database
26 January 2025, Phoronix

provided by Google News



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