DBMS > Apache Kylin vs. PostgreSQL vs. Tibero
System Properties Comparison Apache Kylin vs. PostgreSQL vs. Tibero
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|Editorial information provided by DB-Engines|
|Name||Apache Kylin Xexclude from comparison||PostgreSQL Xexclude from comparison||Tibero Xexclude from comparison|
|Description||A distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stack||Widely used open source RDBMS Developed as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL||A secure RDBMS, designed for easy portability from Oracle|
|Primary database model||Relational DBMS||Relational DBMS with object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.||Relational DBMS|
|Secondary database models||Document store|
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|Developer||Apache Software Foundation, originally contributed from eBay Inc||PostgreSQL Global Development Group www.postgresql.org/developer||TmaxSoft|
|Initial release||2015||1989 1989: Postgres, 1996: PostgreSQL||2003|
|Current release||3.1.0, July 2020||15.3, May 2023||6, April 2015|
|License Commercial or Open Source||Open Source Apache Version 2.0||Open Source BSD||commercial|
|Cloud-based only Only available as a cloud service||no||no||no|
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|Implementation language||Java||C||C and Assembler|
|Server operating systems||Linux||FreeBSD|
|Typing predefined data types such as float or date||yes||yes||yes|
|XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.||no||yes specific XML-type available, but no XML query functionality.||yes|
|SQL Support of SQL||ANSI SQL for queries (using Apache Calcite)||yes standard with numerous extensions||yes|
|APIs and other access methods||JDBC|
RESTful HTTP API
native C library
streaming API for large objects
Oracle Call Interface (OCI)
|Supported programming languages||.Net|
|Server-side scripts Stored procedures||user defined functions realized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.||Persistent Stored Procedure (PSM)|
|Partitioning methods Methods for storing different data on different nodes||partitioning by range, list and (since PostgreSQL 11) by hash||horizontal partitioning by range, hash, list or composite|
|Replication methods Methods for redundantly storing data on multiple nodes||Source-replica replication other methods possible by using 3rd party extensions||Multi-source replication|
|MapReduce Offers an API for user-defined Map/Reduce methods||yes||no||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency||Immediate Consistency||Immediate Consistency|
|Foreign keys Referential integrity||yes||yes|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID||ACID|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes|
|Durability Support for making data persistent||yes||yes||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||no||no||no planned for next version|
|User concepts Access control||fine grained access rights according to SQL-standard||fine grained access rights according to SQL-standard (SQL 92, SQL 99)|
More information provided by the system vendor
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|Conferences and events|
PGCon 2023, PostgreSQL Conference for Users and Developers
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