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DBMS > Citus vs. Ehcache vs. Graph Engine vs. Sphinx

System Properties Comparison Citus vs. Ehcache vs. Graph Engine vs. Sphinx

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Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonEhcache  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLA widely adopted Java cache with tiered storage optionsA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelRelational DBMSKey-value storeGraph DBMS
Key-value store
Search engine
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.21
Rank#118  Overall
#56  Relational DBMS
Score4.89
Rank#67  Overall
#8  Key-value stores
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score5.98
Rank#56  Overall
#5  Search engines
Websitewww.citusdata.comwww.ehcache.orgwww.graphengine.iosphinxsearch.com
Technical documentationdocs.citusdata.comwww.ehcache.org/­documentationwww.graphengine.io/­docs/­manualsphinxsearch.com/­docs
DeveloperTerracotta Inc, owned by Software AGMicrosoftSphinx Technologies Inc.
Initial release2010200920102001
Current release8.1, December 20183.10.0, March 20223.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availableOpen Source infoApache Version 2; commercial licenses availableOpen Source infoMIT LicenseOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJava.NET and CC++
Server operating systemsLinuxAll OS with a Java VM.NETFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesno
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.yes infospecific XML type available, but no XML query functionalitynono
Secondary indexesyesnoyes infofull-text index on all search fields
SQL infoSupport of SQLyes infostandard, with numerous extensionsnonoSQL-like query language (SphinxQL)
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JCacheRESTful HTTP APIProprietary protocol
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
JavaC#
C++
F#
Visual Basic
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.noyesno
Triggersyesyes infoCache Event Listenersnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoby using Terracotta Serverhorizontal partitioningSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsyes infoby using Terracotta Servernone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyTunable Consistency (Strong, Eventual, Weak)
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes infosupports JTA and can work as an XA resourcenono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infousing a tiered cache-storage approachoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnono

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More resources
CitusEhcacheGraph Engine infoformer name: TrinitySphinx
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