DBMS > HEAVY.AI vs. PostgreSQL vs. SAP HANA
System Properties Comparison HEAVY.AI vs. PostgreSQL vs. SAP HANA
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|Editorial information provided by DB-Engines|
|Name||HEAVY.AI Formerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022 Xexclude from comparison||PostgreSQL Xexclude from comparison||SAP HANA Xexclude from comparison|
|Description||A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardware||Widely used open source RDBMS Developed as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL||In-memory, column based data store. Available as appliance or cloud service|
|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||Spatial DBMS||Document store|
Graph DBMS with Apache Age
Vector DBMS with pgvector extension
Graph DBMS with SAP Hana, Enterprise Edition
|Developer||HEAVY.AI, Inc.||PostgreSQL Global Development Group www.postgresql.org/developer||SAP|
|Initial release||2016||1989 1989: Postgres, 1996: PostgreSQL||2010|
|Current release||5.10, January 2022||16.0, September 2023||2.0 SPS07 (April 4, 2023), April 2023|
|License Commercial or Open Source||Open Source Apache Version 2; enterprise edition available||Open Source BSD||commercial|
|Cloud-based only Only available as a cloud service||no||no||no also available as a cloud based service|
|DBaaS offerings (sponsored links) Database as a Service|
Providers of DBaaS offerings, please contact us to be listed.
|Aiven for PostgreSQL: Fully managed and hosted PostgreSQL® with 70+ extensions and orchestration tooling included.|
|Implementation language||C++ and CUDA||C|
|Server operating systems||Linux||FreeBSD|
|Appliance or cloud-service|
|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||yes||yes standard with numerous extensions||yes|
|APIs and other access methods||JDBC|
native C library
streaming API for large objects
|Supported programming languages||All languages supporting JDBC/ODBC/Thrift|
|Server-side scripts Stored procedures||no||user defined functions realized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.||SQLScript, R|
|Partitioning methods Methods for storing different data on different nodes||Sharding Round robin||partitioning by range, list and (since PostgreSQL 11) by hash||yes|
|Replication methods Methods for redundantly storing data on multiple nodes||Multi-source replication||Source-replica replication other methods possible by using 3rd party extensions||yes|
|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||Immediate Consistency|
|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|
|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||fine grained access rights according to SQL-standard||fine grained access rights according to SQL-standard||yes|
More information provided by the system vendor
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|Related products and services|
|3rd parties||Aiven for PostgreSQL: The familiar open source PostgreSQL® that you know and love, with no proprietary features or add-ons that will lock you in.
Instaclustr: Fully Hosted & Managed PostgreSQL
pgDash: In-Depth PostgreSQL Monitoring.
Navicat for PostgreSQL is an easy-to-use graphical tool for PostgreSQL database development.
Datasentinel: Platform for Monitoring and Analyzing the performance problems of your PostgreSQL Clusters
Timescale: Calling all PostgreSQL users – the 2023 State of PostgreSQL survey is now open! Share your favorite extensions, preferred frameworks, community experiences, and more. Take the survey today!
Redgate webinars: A series of key topics for new PostgreSQL users.
Fujitsu Enterprise Postgres: An Enterprise Grade PostgreSQL with the flexibility of a hybrid cloud solution combined with industry leading security, availability and performance.
|CData: Connect to Big Data & NoSQL through standard Drivers.|
We invite representatives of vendors of related products to contact us for presenting information about their offerings here.
|HEAVY.AI Formerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022||PostgreSQL||SAP HANA|
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