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DBMS > Apache Impala vs. PostgreSQL vs. YTsaurus

System Properties Comparison Apache Impala vs. PostgreSQL vs. YTsaurus

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonPostgreSQL  Xexclude from comparisonYTsaurus  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLYTsaurus is an open source platform for distributed storage and processing.
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
Key-value store
Secondary database modelsDocument storeDocument 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
Score12.57
Rank#40  Overall
#24  Relational DBMS
Score638.91
Rank#4  Overall
#4  Relational DBMS
Score0.13
Rank#334  Overall
#45  Document stores
#49  Key-value stores
Websiteimpala.apache.orgwww.postgresql.orgytsaurus.tech
Technical documentationimpala.apache.org/­impala-docs.htmlwww.postgresql.org/­docsytsaurus.tech/­docs/­en
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaPostgreSQL Global Development Group infowww.postgresql.org/­developerYandex
Initial release20131989 info1989: Postgres, 1996: PostgreSQL2023
Current release4.1.0, June 202216.3, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoBSDOpen Source infoApache License, Version 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++CC++
Server operating systemsLinuxFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Ubuntu
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.noyes infospecific XML-type available, but no XML query functionality.no
Secondary indexesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infostandard with numerous extensionsYQL, an SQL-based language, is supported
APIs and other access methodsJDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C++
Go
Java
JavaScript
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingpartitioning by range, list and (since PostgreSQL 11) by hashSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replication infoother methods possible by using 3rd party extensionsyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
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.nono
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosfine grained access rights according to SQL-standardAccess Control Lists

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More resources
Apache ImpalaPostgreSQLYTsaurus
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Conferences, events and webinars

PASS Data Community Summit
Seattle, Washington, 4-8 November 2024

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