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DBMS > Postgres-XL vs. Sphinx vs. TerminusDB

System Properties Comparison Postgres-XL vs. Sphinx vs. TerminusDB

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Editorial information provided by DB-Engines
NamePostgres-XL  Xexclude from comparisonSphinx  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparison
DescriptionBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresOpen source search engine for searching in data from different sources, e.g. relational databasesScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelRelational DBMSSearch engineGraph DBMS
Secondary database modelsDocument storeDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.47
Rank#213  Overall
#102  Relational DBMS
Score7.26
Rank#48  Overall
#5  Search engines
Score0.00
Rank#334  Overall
#32  Graph DBMS
Websitewww.postgres-xl.orgsphinxsearch.comterminusdb.com
Technical documentationwww.postgres-xl.org/­documentationsphinxsearch.com/­docsterminusdb.com/­docs
DeveloperSphinx Technologies Inc.DataChemist Ltd.
Initial release2014 infosince 2012, originally named StormDB20012018
Current release10 R1, October 20183.1.1, October 20181.0, 2018
License infoCommercial or Open SourceOpen Source infoMozilla public licenseOpen Source infoGPL version 2, commercial licence availableOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC++Prolog, Rust
Server operating systemsLinux
macOS
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesnoyes
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 infoXML type, but no XML query functionalityno
Secondary indexesyesyes infofull-text index on all search fields
SQL infoSupport of SQLyes infodistributed, parallel query executionSQL-like query language (SphinxQL)SQL-like query language (WOQL)
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Proprietary protocolOWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languages.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
JavaScript
Python
Server-side scripts infoStored proceduresuser defined functionsnoyes
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infoPartitioning is done manually, search queries against distributed index is supportedGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneJournaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoMVCCnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Sphinx index.yes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlfine grained access rights according to SQL-standardnoRole-based access control

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