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DBMS > Ignite vs. Microsoft Azure SQL Database vs. RethinkDB vs. Splice Machine

System Properties Comparison Ignite vs. Microsoft Azure SQL Database vs. RethinkDB vs. Splice Machine

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Editorial information provided by DB-Engines
NameIgnite  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonRethinkDB  Xexclude from comparisonSplice Machine  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.Database as a Service offering with high compatibility to Microsoft SQL ServerDBMS for the Web with a mechanism to push updated query results to applications in realtime.Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelKey-value store
Relational DBMS
Relational DBMSDocument storeRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score77.99
Rank#16  Overall
#11  Relational DBMS
Score2.74
Rank#105  Overall
#19  Document stores
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websiteignite.apache.orgazure.microsoft.com/­en-us/­products/­azure-sql/­databaserethinkdb.comsplicemachine.com
Technical documentationapacheignite.readme.io/­docsdocs.microsoft.com/­en-us/­azure/­azure-sqlrethinkdb.com/­docssplicemachine.com/­how-it-works
DeveloperApache Software FoundationMicrosoftThe Linux Foundation infosince July 2017Splice Machine
Initial release2015201020092014
Current releaseApache Ignite 2.6V122.4.1, August 20203.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache Version 2Open Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, Java, .NetC++C++Java
Server operating systemsLinux
OS X
Solaris
Windows
hostedLinux
OS X
Windows
Linux
OS X
Solaris
Windows
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infostring, binary, float, bool, date, geometryyes
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.yesyesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLyesnoyes
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
JDBC
ODBC
JDBC
Native Spark Datasource
ODBC
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)Transact SQLyes infoJava
Triggersyes (cache interceptors and events)yesClient-side triggers through changefeedsyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding inforange basedShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)yes, with always 3 replicas availableSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)noyesYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic single-document operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCC basedyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlSecurity Hooks for custom implementationsfine grained access rights according to SQL-standardyes infousers and table-level permissionsAccess rights for users, groups and roles according to SQL-standard

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More resources
IgniteMicrosoft Azure SQL Database infoformerly SQL AzureRethinkDBSplice Machine
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