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DBMS > GridGain vs. RethinkDB vs. Splice Machine vs. SwayDB vs. SWC-DB

System Properties Comparison GridGain vs. RethinkDB vs. Splice Machine vs. SwayDB vs. SWC-DB

Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonRethinkDB  Xexclude from comparisonSplice Machine  Xexclude from comparisonSwayDB  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteDBMS 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 SparkAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storageA high performance, scalable Wide Column DBMS
Primary database modelKey-value store
Relational DBMS
Document storeRelational DBMSKey-value storeWide column store
Secondary database modelsSpatial DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score2.74
Rank#105  Overall
#19  Document stores
Score0.54
Rank#250  Overall
#114  Relational DBMS
Score0.00
Rank#382  Overall
#59  Key-value stores
Score0.01
Rank#376  Overall
#13  Wide column stores
Websitewww.gridgain.comrethinkdb.comsplicemachine.comswaydb.simer.augithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationwww.gridgain.com/­docs/­index.htmlrethinkdb.com/­docssplicemachine.com/­how-it-works
DeveloperGridGain Systems, Inc.The Linux Foundation infosince July 2017Splice MachineSimer PlahaAlex Kashirin
Initial release20072009201420182020
Current releaseGridGain 8.5.12.4.1, August 20203.1, March 20210.5, April 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoAGPL 3.0, commercial license availableOpen Source infoGNU Affero GPL V3.0Open Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .NetC++JavaScalaC++
Server operating systemsLinux
OS X
Solaris
Windows
Linux
OS X
Windows
Linux
OS X
Solaris
Windows
Linux
Data schemeyesschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes infostring, binary, float, bool, date, geometryyesno
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.yesnonono
Secondary indexesyesyesyesno
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLnoyesnoSQL-like query language
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
Native Spark Datasource
ODBC
Proprietary protocol
Thrift
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
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
Java
Kotlin
Scala
C++
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)yes infoJavanono
Triggersyes (cache interceptors and events)Client-side triggers through changefeedsyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding inforange basedShared Nothhing Auto-Sharding, Columnar PartitioningnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Source-replica replicationMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)yesYes, via Full Spark Integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-document operationsACIDAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCC basedyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyesno
User concepts infoAccess controlSecurity Hooks for custom implementationsyes infousers and table-level permissionsAccess rights for users, groups and roles according to SQL-standardno

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More resources
GridGainRethinkDBSplice MachineSwayDBSWC-DB infoSuper Wide Column Database
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