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DBMS > OrientDB vs. OrigoDB vs. Sphinx vs. Splice Machine vs. ToroDB

System Properties Comparison OrientDB vs. OrigoDB vs. Sphinx vs. Splice Machine vs. ToroDB

Editorial information provided by DB-Engines
NameOrientDB  Xexclude from comparisonOrigoDB  Xexclude from comparisonSphinx  Xexclude from comparisonSplice Machine  Xexclude from comparisonToroDB  Xexclude from comparison
ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionMulti-model DBMS (Document, Graph, Key/Value)A fully ACID in-memory object graph databaseOpen source search engine for searching in data from different sources, e.g. relational databasesOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkA MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelDocument store
Graph DBMS
Key-value store
Document store
Object oriented DBMS
Search engineRelational DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.25
Rank#89  Overall
#16  Document stores
#6  Graph DBMS
#13  Key-value stores
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websiteorientdb.orgorigodb.comsphinxsearch.comsplicemachine.comgithub.com/­torodb/­server
Technical documentationwww.orientdb.com/­docs/­last/­index.htmlorigodb.com/­docssphinxsearch.com/­docssplicemachine.com/­how-it-works
DeveloperOrientDB LTD; CallidusCloud; SAPRobert Friberg et alSphinx Technologies Inc.Splice Machine8Kdata
Initial release20102009 infounder the name LiveDB200120142016
Current release3.2.29, March 20243.5.1, February 20233.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache version 2Open SourceOpen Source infoGPL version 2, commercial licence availableOpen Source infoAGPL 3.0, commercial license availableOpen Source infoAGPL-V3
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC#C++JavaJava
Server operating systemsAll OS with a Java JDK (>= JDK 6)Linux
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
All OS with a Java 7 VM
Data schemeschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")yesyesyesschema-free
Typing infopredefined data types such as float or dateyesUser defined using .NET types and collectionsnoyesyes infostring, integer, double, boolean, date, object_id
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.nono infocan be achieved using .NETno
Secondary indexesyesyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLSQL-like query language, no joinsnoSQL-like query language (SphinxQL)yes
APIs and other access methodsTinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
.NET Client API
HTTP API
LINQ
Proprietary protocolJDBC
Native Spark Datasource
ODBC
Supported programming languages.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.NetC++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresJava, Javascriptyesnoyes infoJava
TriggersHooksyes infoDomain Eventsnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoclient side managed; servers are not synchronizedSharding infoPartitioning is done manually, search queries against distributed index is supportedShared Nothhing Auto-Sharding, Columnar PartitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationSource-replica replicationnoneMulti-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infocould be achieved with distributed queriesnonoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyes inforelationship in graphsdepending on modelnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyes infoWrite ahead logyes infoThe original contents of fields are not stored in the Sphinx index.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAccess rights for users and roles; record level security configurableRole based authorizationnoAccess rights for users, groups and roles according to SQL-standardAccess rights for users and roles

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More resources
OrientDBOrigoDBSphinxSplice MachineToroDB
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