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DBMS > GridGain vs. IBM Cloudant vs. OrigoDB vs. Splice Machine

System Properties Comparison GridGain vs. IBM Cloudant vs. OrigoDB vs. Splice Machine

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonOrigoDB  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteDatabase as a Service offering based on Apache CouchDBA fully ACID in-memory object graph databaseOpen-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
Document storeDocument store
Object oriented DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score2.75
Rank#104  Overall
#19  Document stores
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websitewww.gridgain.comwww.ibm.com/­products/­cloudantorigodb.comsplicemachine.com
Technical documentationwww.gridgain.com/­docs/­index.htmlcloud.ibm.com/­docs/­Cloudantorigodb.com/­docssplicemachine.com/­how-it-works
DeveloperGridGain Systems, Inc.IBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014Robert Friberg et alSplice Machine
Initial release200720102009 infounder the name LiveDB2014
Current releaseGridGain 8.5.13.1, March 2021
License infoCommercial or Open SourcecommercialcommercialOpen SourceOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetErlangC#Java
Server operating systemsLinux
OS X
Solaris
Windows
hostedLinux
Windows
Linux
OS X
Solaris
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoUser defined using .NET types and collectionsyes
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.yesnono infocan be achieved using .NET
Secondary indexesyesyesyesyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLnonoyes
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
RESTful HTTP/JSON API.NET Client API
HTTP API
LINQ
JDBC
Native Spark Datasource
ODBC
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C#
Java
JavaScript
Objective-C
PHP
Ruby
.NetC#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)View functions (Map-Reduce) in JavaScriptyesyes infoJava
Triggersyes (cache interceptors and events)yesyes infoDomain Eventsyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning infoclient side managed; servers are not synchronizedShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Multi-source replication
Source-replica replication
Source-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)yesnoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonodepending on modelyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoatomic operations within a document possibleACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic lockingyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes
User concepts infoAccess controlSecurity Hooks for custom implementationsAccess rights for users can be defined per databaseRole based authorizationAccess rights for users, groups and roles according to SQL-standard

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More resources
GridGainIBM CloudantOrigoDBSplice Machine
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