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DBMS > Ignite vs. OrigoDB vs. RDFox vs. Sphinx vs. ToroDB

System Properties Comparison Ignite vs. OrigoDB vs. RDFox vs. Sphinx vs. ToroDB

Editorial information provided by DB-Engines
NameIgnite  Xexclude from comparisonOrigoDB  Xexclude from comparisonRDFox  Xexclude from comparisonSphinx  Xexclude from comparisonToroDB  Xexclude from comparison
ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.A fully ACID in-memory object graph databaseHigh performance knowledge graph and semantic reasoning engineOpen source search engine for searching in data from different sources, e.g. relational databasesA MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelKey-value store
Relational DBMS
Document store
Object oriented DBMS
Graph DBMS
RDF store
Search engineDocument store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.11
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Score0.29
Rank#300  Overall
#24  Graph DBMS
#13  RDF stores
Score5.95
Rank#55  Overall
#5  Search engines
Websiteignite.apache.orgorigodb.comwww.oxfordsemantic.techsphinxsearch.comgithub.com/­torodb/­server
Technical documentationapacheignite.readme.io/­docsorigodb.com/­docsdocs.oxfordsemantic.techsphinxsearch.com/­docs
DeveloperApache Software FoundationRobert Friberg et alOxford Semantic TechnologiesSphinx Technologies Inc.8Kdata
Initial release20152009 infounder the name LiveDB201720012016
Current releaseApache Ignite 2.66.0, Septermber 20223.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open SourcecommercialOpen Source infoGPL version 2, commercial licence availableOpen Source infoAGPL-V3
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, Java, .NetC#C++C++Java
Server operating systemsLinux
OS X
Solaris
Windows
Linux
Windows
Linux
macOS
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
All OS with a Java 7 VM
Data schemeyesyesyes infoRDF schemasyesschema-free
Typing infopredefined data types such as float or dateyesUser defined using .NET types and collectionsyesnoyes 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.yesno infocan be achieved using .NETno
Secondary indexesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLnonoSQL-like query language (SphinxQL)
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
.NET Client API
HTTP API
LINQ
RESTful HTTP API
SPARQL 1.1
Proprietary protocol
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
.NetC
Java
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)yesno
Triggersyes (cache interceptors and events)yes infoDomain Eventsnono
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 supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Source-replica replicationreplication via a shared file systemnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setupsEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynodepending on modelnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoWrite ahead logyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlSecurity Hooks for custom implementationsRole based authorizationRoles, resources, and access typesnoAccess rights for users and roles

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More resources
IgniteOrigoDBRDFoxSphinxToroDB
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