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DBMS > Apache Pinot vs. PostgreSQL vs. Snowflake vs. Splice Machine

System Properties Comparison Apache Pinot vs. PostgreSQL vs. Snowflake vs. Splice Machine

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Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonPostgreSQL  Xexclude from comparisonSnowflake  Xexclude from comparisonSplice Machine  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 SQLCloud-based data warehousing service for structured and semi-structured dataOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
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.Relational DBMSRelational 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
Score0.40
Rank#270  Overall
#125  Relational DBMS
Score645.54
Rank#4  Overall
#4  Relational DBMS
Score121.33
Rank#9  Overall
#6  Relational DBMS
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitepinot.apache.orgwww.postgresql.orgwww.snowflake.comsplicemachine.com
Technical documentationdocs.pinot.apache.orgwww.postgresql.org/­docsdocs.snowflake.net/­manuals/­index.htmlsplicemachine.com/­how-it-works
DeveloperApache Software Foundation and contributorsPostgreSQL Global Development Group infowww.postgresql.org/­developerSnowflake Computing Inc.Splice Machine
Initial release20151989 info1989: Postgres, 1996: PostgreSQL20142014
Current release1.0.0, September 202316.3, May 20243.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoBSDcommercialOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCJava
Server operating systemsAll OS with a Java JDK11 or higherFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
hostedLinux
OS X
Solaris
Windows
Data schemeyesyesyes infosupport of semi-structured data formats (JSON, XML, Avro)yes
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.yes infospecific XML-type available, but no XML query functionality.yes
Secondary indexesyesyes
SQL infoSupport of SQLSQL-like query languageyes infostandard with numerous extensionsyesyes
APIs and other access methodsJDBCADO.NET
JDBC
native C library
ODBC
streaming API for large objects
CLI Client
JDBC
ODBC
JDBC
Native Spark Datasource
ODBC
Supported programming languagesGo
Java
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
JavaScript (Node.js)
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.user defined functionsyes infoJava
Triggersyesno infosimilar concept for controling cloud resourcesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningpartitioning by range, list and (since PostgreSQL 11) by hashyesShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)
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.nonoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers with fine-grained authorization concept, user roles and pluggable authenticationAccess rights for users, groups and roles according to SQL-standard

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More resources
Apache PinotPostgreSQLSnowflakeSplice Machine
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