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DBMS > PostGIS vs. Rockset vs. Sphinx

System Properties Comparison PostGIS vs. Rockset vs. Sphinx

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Editorial information provided by DB-Engines
NamePostGIS  Xexclude from comparisonRockset  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionSpatial extension of PostgreSQLA scalable, reliable search and analytics service in the cloud, built on RocksDBOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelSpatial DBMSDocument storeSearch engine
Secondary database modelsRelational DBMSRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score23.90
Rank#29  Overall
#1  Spatial DBMS
Score0.84
Rank#209  Overall
#35  Document stores
Score6.03
Rank#60  Overall
#6  Search engines
Websitepostgis.netrockset.comsphinxsearch.com
Technical documentationpostgis.net/­documentationdocs.rockset.comsphinxsearch.com/­docs
DeveloperRocksetSphinx Technologies Inc.
Initial release200520192001
Current release3.4.2, February 20243.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoGPL v2.0commercialOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++C++
Server operating systemshostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesdynamic typingno
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 infoingestion from XML files supported
Secondary indexesyesall fields are automatically indexedyes infofull-text index on all search fields
SQL infoSupport of SQLyesRead-only SQL queries, including JOINsSQL-like query language (SphinxQL)
APIs and other access methodsHTTP RESTProprietary protocol
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresuser defined functionsnono
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesyes infobased on PostgreSQLAutomatic shardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesyes infobased on PostgreSQLyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes 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.no
User concepts infoAccess controlyes infobased on PostgreSQLAccess rights for users and organizations can be defined via Rockset consoleno

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More resources
PostGISRocksetSphinx
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