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DBMS > GridGain vs. Ignite vs. Microsoft SQL Server vs. XTDB

System Properties Comparison GridGain vs. Ignite vs. Microsoft SQL Server vs. XTDB

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonIgnite  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Microsofts flagship relational DBMSA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelKey-value store
Relational DBMS
Key-value store
Relational DBMS
Relational DBMSDocument store
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.31
Rank#127  Overall
#24  Key-value stores
#62  Relational DBMS
Score6.14
Rank#68  Overall
#9  Key-value stores
#36  Relational DBMS
Score912.51
Rank#3  Overall
#3  Relational DBMS
Score0.18
Rank#336  Overall
#49  Document stores
Websitewww.gridgain.comignite.apache.orgwww.microsoft.com/­en-us/­sql-servergithub.com/­xtdb/­xtdb
xtdb.com
Technical documentationwww.gridgain.com/­docs/­latestapacheignite.readme.io/­docsdocs.microsoft.com/­en-US/­sql/­sql-serverxtdb.com/­docs
DeveloperGridGain Systems, Inc.Apache Software FoundationMicrosoftJuxt Ltd.
Initial release2007201519892019
Current releaseGridGain 8.5.1Apache Ignite 2.6SQL Server 2019, November 20191.19, September 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial inforestricted free version is availableOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetC++, Java, .NetC++Clojure
Server operating systemsLinux
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Linux
Windows
All OS with a Java 8 (and higher) VM
Linux
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes, extensible-data-notation format
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.yesyesyesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLANSI-99 for query and DML statements, subset of DDLyeslimited SQL, making use of Apache Calcite
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
HTTP REST
JDBC
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Clojure
Java
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)yes (compute grid and cache interceptors can be used instead)Transact SQL, .NET languages, R, Python and (with SQL Server 2019) Javano
Triggersyes (cache interceptors and events)yes (cache interceptors and events)yesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingtables can be distributed across several files (horizontal partitioning); sharding through federationnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)yes (replicated cache)yes, but depending on the SQL-Server Editionyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)yes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlSecurity Hooks for custom implementationsSecurity Hooks for custom implementationsfine grained access rights according to SQL-standard

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More resources
GridGainIgniteMicrosoft SQL ServerXTDB infoformerly named Crux
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