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DBMS > Sphinx vs. TimescaleDB vs. TimesTen vs. UniData,UniVerse

System Properties Comparison Sphinx vs. TimescaleDB vs. TimesTen vs. UniData,UniVerse

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Editorial information provided by DB-Engines
NameSphinx  Xexclude from comparisonTimescaleDB  Xexclude from comparisonTimesTen  Xexclude from comparisonUniData,UniVerse  Xexclude from comparison
DescriptionOpen source search engine for searching in data from different sources, e.g. relational databasesA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQLIn-Memory RDBMS compatible to OracleMultiValue database and application server with SQL mapping layer and meta database capabilities
Primary database modelSearch engineTime Series DBMSRelational DBMSMultivalue DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.95
Rank#55  Overall
#5  Search engines
Score4.46
Rank#71  Overall
#5  Time Series DBMS
Score1.36
Rank#161  Overall
#75  Relational DBMS
Score2.85
Rank#98  Overall
#1  Multivalue DBMS
Websitesphinxsearch.comwww.timescale.comwww.oracle.com/­database/­technologies/­related/­timesten.htmlwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidata
Technical documentationsphinxsearch.com/­docsdocs.timescale.comdocs.oracle.com/­database/­timesten-18.1docs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidata
DeveloperSphinx Technologies Inc.TimescaleOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005Rocket Software
Initial release2001201719981985
Current release3.5.1, February 20232.15.0, May 202411 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourceOpen Source infoGPL version 2, commercial licence availableOpen Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++CC
Server operating systemsFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
AIX
HP-UX
Linux
Solaris
Windows
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or datenonumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data typesyesoptional
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
Secondary indexesyes infofull-text index on all search fieldsyesyesyes
SQL infoSupport of SQLSQL-like query language (SphinxQL)yes infofull PostgreSQL SQL syntaxyesyes
APIs and other access methodsProprietary protocolADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Java API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languagesC++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
C
C++
Java
PL/SQL
.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresnouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shellPL/SQLyes
Triggersnoyesnoyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodesSharding infoPartitioning is done manually, search queries against distributed index is supportedyes, across time and space (hash partitioning) attributesnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replication with hot standby and reads on replicas infoMulti-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID infoconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infoThe original contents of fields are not stored in the Sphinx index.yesyes infoby means of logfiles and checkpointsyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights according to SQL-standard and operating system based

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More resources
SphinxTimescaleDBTimesTenUniData,UniVerse
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