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DBMS > GigaSpaces vs. OrigoDB vs. RethinkDB vs. TigerGraph

System Properties Comparison GigaSpaces vs. OrigoDB vs. RethinkDB vs. TigerGraph

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Editorial information provided by DB-Engines
NameGigaSpaces  Xexclude from comparisonOrigoDB  Xexclude from comparisonRethinkDB  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsA fully ACID in-memory object graph databaseDBMS for the Web with a mechanism to push updated query results to applications in realtime.A complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelDocument store
Object oriented DBMS infoValues are user defined objects
Document store
Object oriented DBMS
Document storeGraph DBMS
Secondary database modelsGraph DBMS
Search engine
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Score2.66
Rank#107  Overall
#20  Document stores
Score1.80
Rank#138  Overall
#13  Graph DBMS
Websitewww.gigaspaces.comorigodb.comrethinkdb.comwww.tigergraph.com
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmlorigodb.com/­docsrethinkdb.com/­docsdocs.tigergraph.com
DeveloperGigaspaces TechnologiesRobert Friberg et alThe Linux Foundation infosince July 2017
Initial release20002009 infounder the name LiveDB20092017
Current release15.5, September 20202.4.1, August 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial licenses availableOpen SourceOpen Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .NetC#C++C++
Server operating systemsLinux
macOS
Solaris
Windows
Linux
Windows
Linux
OS X
Windows
Linux
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesUser defined using .NET types and collectionsyes 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.no infoXML can be used for describing objects metadatano infocan be achieved using .NETnono
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-99 for query and DML statementsnonoSQL-like query language (GSQL)
APIs and other access methodsGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
.NET Client API
HTTP API
LINQ
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languages.Net
C++
Java
Python
Scala
.NetC 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++
Java
Server-side scripts infoStored proceduresyesyesyes
Triggersyes, event driven architectureyes infoDomain EventsClient-side triggers through changefeedsno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoclient side managed; servers are not synchronizedSharding inforange based
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Source-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoMap-Reduce pattern can be built with XAP task executorsnoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate Consistency
Foreign keys infoReferential integritynodepending on modelnoyes infoRelationships in graphs
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
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.yesyesnono
User concepts infoAccess controlRole-based access controlRole based authorizationyes infousers and table-level permissionsRole-based access control

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More resources
GigaSpacesOrigoDBRethinkDBTigerGraph
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