DBMS > Hive vs. PostgreSQL vs. VelocityDB
System Properties Comparison Hive vs. PostgreSQL vs. VelocityDB
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|Editorial information provided by DB-Engines|
|Name||Hive Xexclude from comparison||PostgreSQL Xexclude from comparison||VelocityDB Xexclude from comparison|
|Description||data warehouse software for querying and managing large distributed datasets, built on Hadoop||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||Relational 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||Document store|
|Developer||Apache Software Foundation initially developed by Facebook||PostgreSQL Global Development Group www.postgresql.org/developer||VelocityDB Inc|
|Initial release||2012||1989 1989: Postgres, 1996: PostgreSQL||2011|
|Current release||3.1.3, April 2022||15.1, November 2022||7.x|
|License Commercial or Open Source||Open Source Apache Version 2||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||FreeBSD|
|Any that supports .NET|
|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.||yes specific XML-type available, but no XML query functionality.||no|
|SQL Support of SQL||SQL-like DML and DDL statements||yes standard with numerous extensions||no|
|APIs and other access methods||JDBC|
native C library
streaming API for large objects
|Supported programming languages||C++|
|Server-side scripts Stored procedures||yes user defined functions and integration of map-reduce||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||partitioning by range, list and (since PostgreSQL 11) by hash||Sharding|
|Replication methods Methods for redundantly storing data on multiple nodes||selectable replication factor||Source-replica replication other methods possible by using 3rd party extensions|
|MapReduce Offers an API for user-defined Map/Reduce methods||yes query execution via MapReduce||no||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Eventual Consistency||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|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||no||yes|
|User concepts Access control||Access rights for users, groups and roles||fine grained access rights according to SQL-standard||Based on Windows Authentication|
More information provided by the system vendor
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|Related products and services|
|3rd parties||SQLFlow: Provides a visual representation of the overall flow of data. Automated SQL data lineage analysis across Databases, ETL, Business Intelligence, Cloud and Hadoop environments by parsing SQL Script and stored procedure.|
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