DBMS > InfluxDB vs. PostgreSQL vs. VelocityDB
System Properties Comparison InfluxDB vs. PostgreSQL vs. VelocityDB
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|Editorial information provided by DB-Engines|
|Name||InfluxDB Xexclude from comparison||PostgreSQL Xexclude from comparison||VelocityDB Xexclude from comparison|
|Description||DBMS for storing time series, events and metrics||Widely used open source RDBMS Developed as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL||A .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)|
|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.||Graph DBMS|
Object oriented DBMS
|Secondary database models||Spatial DBMS with GEO package||Document store|
|Developer||PostgreSQL Global Development Group www.postgresql.org/developer||VelocityDB Inc|
|Initial release||2013||1989 1989: Postgres, 1996: PostgreSQL||2011|
|Current release||2.4, August 2022||14.5, August 2022||7.x|
|License Commercial or Open Source||Open Source MIT-License; commercial enterprise version available||Open Source BSD||commercial|
|Cloud-based only Only available as a cloud service||no||no||no|
|DBaaS offerings (sponsored links) Database as a Service|
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|Server operating systems||Linux|
OS X through Homebrew
|Any that supports .NET|
|Typing predefined data types such as float or date||Numeric data and Strings||yes||yes|
|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||no|
|APIs and other access methods||HTTP API|
JSON over UDP
native C library
streaming API for large objects
|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.||no|
|Triggers||no||yes||Callbacks are triggered when data changes|
|Partitioning methods Methods for storing different data on different nodes||Sharding in enterprise version only||partitioning by range, list and (since PostgreSQL 11) by hash||Sharding|
|Replication methods Methods for redundantly storing data on multiple nodes||selectable replication factor in enterprise version only||Source-replica replication other methods possible by using 3rd party extensions|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||no||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency||Immediate Consistency|
|Foreign keys Referential integrity||no||yes||no|
|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|
|yes Depending on used storage engine||no||yes|
|User concepts Access control||simple rights management via user accounts||fine grained access rights according to SQL-standard||Based on Windows Authentication|
|More information provided by the system vendor|
|Specific characteristics||InfluxData is the creator of InfluxDB , the open source time series database. It...|
|Competitive advantages||Time to Value InfluxDB is available in all the popular languages and frameworks,...|
|Typical application scenarios||IoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...|
|Key customers||InfluxData has more than 1,300 paying customers, including customers include MuleSoft,...|
|Market metrics||Fastest growing database to drive 23,500 GitHub stars Over 600,000 daily active instances|
|Licensing and pricing models||Open source core with closed source clustering available either on-premise or on...|
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