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DBMS > Apache Pinot vs. PostgreSQL vs. Sequoiadb vs. TimesTen

System Properties Comparison Apache Pinot vs. PostgreSQL vs. Sequoiadb vs. TimesTen

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonPostgreSQL  Xexclude from comparisonSequoiadb  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLNewSQL database with distributed OLTP and SQLAn in-memory SQL relational database that delivers microsecond response and high throughput for OLTP applications. TimesTen can be deployed as a standalone database or as a cache to a backend Oracle database.
Primary database modelRelational DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Document store
Relational DBMS
Relational DBMS
Secondary database modelsDocument 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
Score0.35
Rank#274  Overall
#128  Relational DBMS
Score644.36
Rank#4  Overall
#4  Relational DBMS
Score0.42
Rank#263  Overall
#41  Document stores
#121  Relational DBMS
Score1.26
Rank#164  Overall
#75  Relational DBMS
Websitepinot.apache.orgwww.postgresql.orgwww.sequoiadb.comwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationdocs.pinot.apache.orgwww.postgresql.org/­docswww.sequoiadb.com/­en/­index.php?m=Files&a=indexdocs.oracle.com/­en/­database/­other-databases/­timesten/­index.html
DeveloperApache Software Foundation and contributorsPostgreSQL Global Development Group infowww.postgresql.org/­developerSequoiadb Ltd.Oracle infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release20151989 info1989: Postgres, 1996: PostgreSQL20131998
Current release1.0.0, September 202316.4, August 2024Release 22.1
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoBSDOpen Source infoServer: AGPL; Client: Apache V2commercial
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.
PostgreSQL Flex @ STACKIT offers managed PostgreSQL Instances with adjustable CPU, RAM, storage amount and speed and several extensions available, in enterprise grade to perfectly match all application requirements. All 100% GDPR-compliant.
Implementation languageJavaCC++
Server operating systemsAll OS with a Java JDK11 or higherFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
LinuxIBM AIX Power PC 64-bit
Linux arm64
Linux x86-64
Solaris SPARC 64
Solaris SPARC/x86
Solaris x86-64
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infooid, date, timestamp, binary, regexyes
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 infospecific XML-type available, but no XML query functionality.nono
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like query languageyes infostandard with numerous extensionsSQL-like query languageyes
APIs and other access methodsJDBCADO.NET
JDBC
native C library
ODBC
streaming API for large objects
proprietary protocol using JSONODBC
ODP.NET
Oracle Call Interface (OCI)
Pro*C/C++ programming interfaces
SQL and PL/SQL via JDBC
Supported programming languagesGo
Java
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C++
Java
PHP
Python
C
C++
Java
Node.js
PL/SQL
Python
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.JavaScriptPL/SQL
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningpartitioning by range, list and (since PostgreSQL 11) by hashShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDDocument is locked during a transactionACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardsimple password-based access controlfine grained access rights according to SQL-standard

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More resources
Apache PinotPostgreSQLSequoiadbTimesTen
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