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DBMS > InterSystems Caché vs. Postgres-XL vs. RDFox vs. Sphinx vs. VelocityDB

System Properties Comparison InterSystems Caché vs. Postgres-XL vs. RDFox vs. Sphinx vs. VelocityDB

Editorial information provided by DB-Engines
NameInterSystems Caché  Xexclude from comparisonPostgres-XL  Xexclude from comparisonRDFox  Xexclude from comparisonSphinx  Xexclude from comparisonVelocityDB  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionA multi-model DBMS and application serverBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresHigh performance knowledge graph and semantic reasoning engineOpen source search engine for searching in data from different sources, e.g. relational databasesA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelKey-value store
Object oriented DBMS
Relational DBMS
Relational DBMSGraph DBMS
RDF store
Search engineGraph DBMS
Object oriented DBMS
Secondary database modelsDocument storeDocument store
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.53
Rank#254  Overall
#117  Relational DBMS
Score0.29
Rank#300  Overall
#24  Graph DBMS
#13  RDF stores
Score5.95
Rank#55  Overall
#5  Search engines
Score0.11
Rank#354  Overall
#37  Graph DBMS
#16  Object oriented DBMS
Websitewww.intersystems.com/­products/­cachewww.postgres-xl.orgwww.oxfordsemantic.techsphinxsearch.comvelocitydb.com
Technical documentationdocs.intersystems.comwww.postgres-xl.org/­documentationdocs.oxfordsemantic.techsphinxsearch.com/­docsvelocitydb.com/­UserGuide
DeveloperInterSystemsOxford Semantic TechnologiesSphinx Technologies Inc.VelocityDB Inc
Initial release19972014 infosince 2012, originally named StormDB201720012011
Current release2018.1.4, May 202010 R1, October 20186.0, Septermber 20223.5.1, February 20237.x
License infoCommercial or Open SourcecommercialOpen Source infoMozilla public licensecommercialOpen Source infoGPL version 2, commercial licence availablecommercial
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 languageCC++C++C#
Server operating systemsAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Linux
macOS
Linux
macOS
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Any that supports .NET
Data schemedepending on used data modelyesyes infoRDF schemasyesyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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.yesyes infoXML type, but no XML query functionalityno
Secondary indexesyesyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLyesyes infodistributed, parallel query executionnoSQL-like query language (SphinxQL)no
APIs and other access methods.NET Client API
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful HTTP API
SPARQL 1.1
Proprietary protocol.Net
Supported programming languagesC#
C++
Java
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
Java
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
.Net
Server-side scripts infoStored proceduresyesuser defined functionsnono
TriggersyesyesnoCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationreplication via a shared file systemnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setupsImmediate Consistency
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoMVCCACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes 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.yesnoyesyes
User concepts infoAccess controlAccess rights for users, groups and rolesfine grained access rights according to SQL-standardRoles, resources, and access typesnoBased on Windows Authentication

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More resources
InterSystems CachéPostgres-XLRDFoxSphinxVelocityDB
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