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DBMS > Apache Pinot vs. Kinetica vs. Microsoft Azure AI Search vs. PostgreSQL

System Properties Comparison Apache Pinot vs. Kinetica vs. Microsoft Azure AI Search vs. PostgreSQL

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonKinetica  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonPostgreSQL  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyFully vectorized database across both GPUs and CPUsSearch-as-a-service for web and mobile app developmentWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelRelational DBMSRelational DBMSSearch engineRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.
Secondary database modelsSpatial DBMS
Time Series DBMS
Vector DBMSDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#275  Overall
#126  Relational DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Score636.25
Rank#4  Overall
#4  Relational DBMS
Websitepinot.apache.orgwww.kinetica.comazure.microsoft.com/­en-us/­services/­searchwww.postgresql.org
Technical documentationdocs.pinot.apache.orgdocs.kinetica.comlearn.microsoft.com/­en-us/­azure/­searchwww.postgresql.org/­docs
DeveloperApache Software Foundation and contributorsKineticaMicrosoftPostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release2015201220151989 info1989: Postgres, 1996: PostgreSQL
Current release1.0.0, September 20237.1, August 2021V116.3, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++C
Server operating systemsAll OS with a Java JDK11 or higherLinuxhostedFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonoyes infospecific XML-type available, but no XML query functionality.
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like query languageSQL-like DML and DDL statementsnoyes infostandard with numerous extensions
APIs and other access methodsJDBCJDBC
ODBC
RESTful HTTP API
RESTful HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesGo
Java
Python
C++
Java
JavaScript (Node.js)
Python
C#
Java
JavaScript
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresuser defined functionsnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangenoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingSharding infoImplicit feature of the cloud servicepartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infoImplicit feature of the cloud serviceSource-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMnono
User concepts infoAccess controlAccess rights for users and roles on table levelyes infousing Azure authenticationfine grained access rights according to SQL-standard

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More resources
Apache PinotKineticaMicrosoft Azure AI SearchPostgreSQL
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