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DBMS > GridGain vs. OrigoDB vs. Riak KV vs. SiteWhere

System Properties Comparison GridGain vs. OrigoDB vs. Riak KV vs. SiteWhere

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonOrigoDB  Xexclude from comparisonRiak KV  Xexclude from comparisonSiteWhere  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteA fully ACID in-memory object graph databaseDistributed, fault tolerant key-value storeM2M integration platform for persisting/querying time series data
Primary database modelColumnar
Key-value store
Object oriented DBMS
Relational DBMS
Document store
Object oriented DBMS
Key-value store infowith links between data sets and object tags for the creation of secondary indexesTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.48
Rank#150  Overall
#1  Columnar
#26  Key-value stores
#2  Object oriented DBMS
#69  Relational DBMS
Score0.00
Rank#385  Overall
#54  Document stores
#21  Object oriented DBMS
Score3.84
Rank#76  Overall
#9  Key-value stores
Score0.07
Rank#347  Overall
#33  Time Series DBMS
Websitewww.gridgain.comorigodb.comgithub.com/­sitewhere/­sitewhere
Technical documentationwww.gridgain.com/­docs/­index.htmlorigodb.com/­docswww.tiot.jp/­riak-docs/­riak/­kv/­latestsitewhere1.sitewhere.io/­index.html
DeveloperGridGain Systems, Inc.Robert Friberg et alOpenSource, formerly Basho TechnologiesSiteWhere
Initial release20072009 infounder the name LiveDB20092010
Current releaseGridGain 8.5.13.2.0, December 2022
License infoCommercial or Open Sourcecommercial, open sourceOpen SourceOpen Source infoApache version 2, commercial enterprise editionOpen Source infoCommon Public Attribution License Version 1.0
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++, .Net, Python, REST, SQLC#ErlangJava
Server operating systemsLinux
OS X
Solaris
Windows
z/OS
Linux
Windows
Linux
OS X
Linux
OS X
Windows
Data schemeyesyesschema-freepredefined scheme
Typing infopredefined data types such as float or dateyesUser defined using .NET types and collectionsnoyes
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 infocan be achieved using .NETnono
Secondary indexesyesyesrestrictedno
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLnonono
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
.NET Client API
HTTP API
LINQ
HTTP API
Native Erlang Interface
HTTP REST
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
.NetC infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)yesErlang
Triggersyes (cache interceptors and events)yes infoDomain Eventsyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoclient side managed; servers are not synchronizedSharding infono "single point of failure"Sharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Source-replica replicationselectable replication factorselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)noyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynodepending on modelno infolinks between data sets can be storedno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoWrite ahead logyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlRole-based access control
Security Hooks for custom implementations
Role based authorizationyes, using Riak SecurityUsers with fine-grained authorization concept

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More resources
GridGainOrigoDBRiak KVSiteWhere
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