DBMS > HEAVY.AI vs. MySQL vs. Valentina Server
System Properties Comparison HEAVY.AI vs. MySQL vs. Valentina Server
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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||MySQL Xexclude from comparison||Valentina Server 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||Object-relational database and reports server|
|Primary database model||Relational DBMS||Relational DBMS Key/Value like access via memcached API||Relational DBMS|
|Secondary database models||Spatial DBMS||Document store|
|Developer||HEAVY.AI, Inc.||Oracle since 2010, originally MySQL AB, then Sun||Paradigma Software|
|Current release||5.10, January 2022||8.1.0, July 2023||5.7.5|
|License Commercial or Open Source||Open Source Apache Version 2; enterprise edition available||Open Source GPL version 2. Commercial licenses with extended functionallity are available||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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|PlanetScale: Deploy a fully managed database with the reliability of MySQL and the scale of open source Vitess with PlanetScale today. Predictably scale, increase workflow velocity, and deploy features with zero downtime.|
|Implementation language||C++ and CUDA||C and C++|
|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|
|SQL Support of SQL||yes||yes with proprietary extensions||yes|
|APIs and other access methods||JDBC|
Proprietary native API
|Supported programming languages||All languages supporting JDBC/ODBC/Thrift|
|Server-side scripts Stored procedures||no||yes proprietary syntax||yes|
|Partitioning methods Methods for storing different data on different nodes||Sharding Round robin||horizontal partitioning, sharding with MySQL Cluster or MySQL Fabric|
|Replication methods Methods for redundantly storing data on multiple nodes||Multi-source replication||Multi-source replication|
|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 not for MyISAM storage engine||yes|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||no||ACID not for MyISAM storage engine|
|Concurrency Support for concurrent manipulation of data||yes||yes table locks or row locks depending on storage engine|
|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||yes||yes|
|User concepts Access control||fine grained access rights according to SQL-standard||Users with fine-grained authorization concept no user groups or roles||fine grained access rights according to SQL-standard|
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|Related products and services|
|3rd parties||PlanetScale: Deploy a fully managed serverless database with the reliability of MySQL and the tested scalability of Vitess. Predictably scale, increase workflow velocity, and deploy features with zero downtime. |
Get started with a PlanetScale database today for free.
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|HEAVY.AI Formerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022||MySQL||Valentina Server|
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