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DBMS > Greenplum vs. Microsoft Azure AI Search vs. Rockset vs. Sphinx

System Properties Comparison Greenplum vs. Microsoft Azure AI Search vs. Rockset vs. Sphinx

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Editorial information provided by DB-Engines
NameGreenplum  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonRockset  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionAnalytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.Search-as-a-service for web and mobile app developmentA 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 modelRelational DBMSSearch engineDocument storeSearch engine
Secondary database modelsDocument store
Spatial DBMS
Vector DBMSRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.08
Rank#48  Overall
#31  Relational DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Score0.82
Rank#212  Overall
#36  Document stores
Score5.95
Rank#55  Overall
#5  Search engines
Websitegreenplum.orgazure.microsoft.com/­en-us/­services/­searchrockset.comsphinxsearch.com
Technical documentationdocs.greenplum.orglearn.microsoft.com/­en-us/­azure/­searchdocs.rockset.comsphinxsearch.com/­docs
DeveloperPivotal Software Inc.MicrosoftRocksetSphinx Technologies Inc.
Initial release2005201520192001
Current release7.0.0, September 2023V13.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++
Server operating systemsLinuxhostedhostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesdynamic 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.yes infosince Version 4.2nono infoingestion from XML files supported
Secondary indexesyesyesall fields are automatically indexedyes infofull-text index on all search fields
SQL infoSupport of SQLyesnoRead-only SQL queries, including JOINsSQL-like query language (SphinxQL)
APIs and other access methodsJDBC
ODBC
RESTful HTTP APIHTTP RESTProprietary protocol
Supported programming languagesC
Java
Perl
Python
R
C#
Java
JavaScript
Python
Go
Java
JavaScript (Node.js)
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresyesnonono
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud serviceAutomatic shardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infoImplicit feature of the cloud serviceyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes 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.nono
User concepts infoAccess controlfine grained access rights according to SQL-standardyes infousing Azure authenticationAccess rights for users and organizations can be defined via Rockset consoleno

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More resources
GreenplumMicrosoft Azure AI SearchRocksetSphinx
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