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DBMS > Citus vs. InterSystems Caché vs. Sadas Engine vs. Sphinx vs. Yanza

System Properties Comparison Citus vs. InterSystems Caché vs. Sadas Engine vs. Sphinx vs. Yanza

Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonSadas Engine  Xexclude from comparisonSphinx  Xexclude from comparisonYanza  Xexclude from comparison
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLA multi-model DBMS and application serverSADAS Engine is a columnar DBMS specifically designed for high performance in Data warehouse environmentsOpen source search engine for searching in data from different sources, e.g. relational databasesTime Series DBMS for IoT Applications
Primary database modelRelational DBMSKey-value store
Object oriented DBMS
Relational DBMS
Relational DBMSSearch engineTime Series DBMS
Secondary database modelsDocument storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.47
Rank#144  Overall
#71  Relational DBMS
Score3.29
Rank#97  Overall
#16  Key-value stores
#1  Object oriented DBMS
#51  Relational DBMS
Score0.01
Rank#347  Overall
#145  Relational DBMS
Score7.91
Rank#56  Overall
#6  Search engines
Score0.00
Rank#353  Overall
#33  Time Series DBMS
Websitewww.citusdata.comwww.intersystems.com/­products/­cachewww.sadasengine.comsphinxsearch.comyanza.com
Technical documentationdocs.citusdata.comdocs.intersystems.comwww.sadasengine.com/­index.php/­downloads/­documentation-columnar-dbsphinxsearch.com/­docs
DeveloperInterSystemsSADAS s.r.l.Sphinx Technologies Inc.Yanza
Initial release20101997200620012015
Current release8.1, December 20182018.1.4, May 20208.03.4.1, July 2021
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availablecommercialcommercial infofree trial version availableOpen Source infoGPL version 2, commercial licence availablecommercial infofree version available
Cloud-based only infoOnly available as a cloud servicenonononono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++C++
Server operating systemsLinuxAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
AIX
Linux
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Windows
Data schemeyesdepending on used data modelyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesnono
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 functionalityyesnono
Secondary indexesyesyesyesyes infofull-text index on all search fieldsno
SQL infoSupport of SQLyes infostandard, with numerous extensionsyesyesSQL-like query language (SphinxQL)no
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
.NET Client API
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Proprietary protocol
Proprietary protocolHTTP API
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C#
C++
Java
.Net
C
C#
C++
Groovy
Java
PHP
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
any language that supports HTTP calls
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yesnonono
Triggersyesyesnonoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioningSharding infoPartitioning is done manually, search queries against distributed index is supportednone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsSource-replica replicationnonenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.noyesyes infomanaged by 'Learn by Usage'
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and rolesAccess rights for users, groups and roles according to SQL-standardnono

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More resources
CitusInterSystems CachéSadas EngineSphinxYanza
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