DBMS > Apache IoTDB vs. PostgreSQL vs. TimesTen
System Properties Comparison Apache IoTDB vs. PostgreSQL vs. TimesTen
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|Editorial information provided by DB-Engines|
|Name||Apache IoTDB Xexclude from comparison||PostgreSQL Xexclude from comparison||TimesTen Xexclude from comparison|
|Description||A lightweight IoT native database management system deployable on the device and syncing the collected data with the cloud and integrated with Hadoop and Spark||Widely used open source RDBMS Developed as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL||In-Memory RDBMS compatible to Oracle|
|Primary database model||Time Series 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|
|Developer||Apache Software Foundation||PostgreSQL Global Development Group www.postgresql.org/developer||Oracle, TimesTen Performance Software, HP originally founded in HP Labs it was acquired by Oracle in 2005|
|Initial release||2018||1989 1989: Postgres, 1996: PostgreSQL||1998|
|Current release||13.3, May 2021||11 Release 2 (18.104.22.168.0)|
|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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|Server operating systems||All OS with a Java VM (>= 1.8)||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.||no|
|SQL Support of SQL||SQL-like query language||yes standard with numerous extensions||yes|
|APIs and other access methods||JDBC||ADO.NET|
native C library
streaming API for large objects
Oracle Call Interface (OCI)
|Supported programming languages||.Net|
|Server-side scripts Stored procedures||no||user defined functions realized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.||PL/SQL|
|Partitioning methods Methods for storing different data on different nodes||partitioning by range, list and (since PostgreSQL 11) by hash||none|
|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||Integration with Hadoop and Spark||no||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Eventual Consistency with synchronizing with the cloud||Immediate Consistency||Immediate Consistency or Eventual Consistency depending on configuration|
|Foreign keys Referential integrity||no||yes||yes|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||no||ACID||ACID|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes|
|Durability Support for making data persistent||yes||yes||yes by means of logfiles and checkpoints|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||yes||no||yes|
|User concepts Access control||no||fine grained access rights according to SQL-standard||fine grained access rights according to SQL-standard|
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