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DBMS > HEAVY.AI vs. IBM Db2 vs. MariaDB vs. Microsoft Azure Synapse Analytics vs. Teradata Aster

System Properties Comparison HEAVY.AI vs. IBM Db2 vs. MariaDB vs. Microsoft Azure Synapse Analytics vs. Teradata Aster

Editorial information provided by DB-Engines
NameHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonIBM Db2 infoformerly named DB2 or IBM Database 2  Xexclude from comparisonMariaDB  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareCommon in IBM host environments, 2 different versions for host and Windows/LinuxMySQL application compatible open source RDBMS, enhanced with high availability, security, interoperability and performance capabilities. MariaDB ColumnStore provides a column-oriented storage engine and MariaDB Xpand supports distributed SQL.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerPlatform for big data analytics on multistructured data sources and types
Primary database modelRelational DBMSRelational DBMS infoSince Version 10.5 support for JSON/BSON documents compatible with MongoDBRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMSDocument store
RDF store infoin Db2 LUW (Linux, Unix, Windows)
Spatial DBMS infowith Db2 Spatial Extender
Document store
Graph DBMS infowith OQGraph storage engine
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score128.46
Rank#8  Overall
#5  Relational DBMS
Score93.21
Rank#13  Overall
#9  Relational DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Websitegithub.com/­heavyai/­heavydb
www.heavy.ai
www.ibm.com/­products/­db2mariadb.com infoSite of MariaDB Corporation
mariadb.org infoSite of MariaDB Foundation
azure.microsoft.com/­services/­synapse-analytics
Technical documentationdocs.heavy.aiwww.ibm.com/­docs/­en/­db2mariadb.com/­kb/­en/­librarydocs.microsoft.com/­azure/­synapse-analytics
DeveloperHEAVY.AI, Inc.IBMMariaDB Corporation Ab (MariaDB Enterprise),
MariaDB Foundation (community MariaDB Server) infoThe lead developer Monty Widenius is the original author of MySQL
MicrosoftTeradata
Initial release20161983 infohost version2009 infoFork of MySQL, which was first released in 199520162005
Current release5.10, January 202212.1, October 201611.3.2, February 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availablecommercial infofree version is availableOpen Source infoGPL version 2, commercial enterprise subscription availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ and CUDAC and C++C and C++C++
Server operating systemsLinuxAIX
HP-UX
Linux
Solaris
Windows
z/OS
FreeBSD
Linux
Solaris
Windows infoColumnStore storage engine not available on Windows
hostedLinux
Data schemeyesyesyes infoDynamic columns are supportedyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or dateyesyesyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.noyesnoyes infoin Aster File Store
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLyesyesyes infowith proprietary extensionsyesyes
APIs and other access methodsJDBC
ODBC
Thrift
Vega
ADO.NET
JDBC
JSON style queries infoMongoDB compatible
ODBC
XQuery
ADO.NET
JDBC
ODBC
Proprietary native API
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
C
C#
C++
Cobol
Delphi
Fortran
Java
Perl
PHP
Python
Ruby
Visual Basic
Ada
C
C#
C++
D
Eiffel
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C#
Java
PHP
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresnoyesyes infoPL/SQL compatibility added with version 10.3Transact SQLR packages
Triggersnoyesyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinSharding infoonly with Windows/Unix/Linux Versionseveral options for horizontal partitioning and ShardingSharding, horizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes infowith separate tools (MQ, InfoSphere)Multi-source replication
Source-replica replication
yesyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesyes infonot for MyISAM storage engineno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infonot for MyISAM storage engineACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infonot for in-memory storage engineyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infowith MEMORY storage engineno
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardyesfine grained access rights according to SQL-standard
More information provided by the system vendor
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022IBM Db2 infoformerly named DB2 or IBM Database 2MariaDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseTeradata Aster
Specific characteristicsMariaDB is the most powerful open source relational database – modern SQL and JSON...
» more
Competitive advantagesMariaDB Servers have many features unavailable in other open source relational databases....
» more
Typical application scenariosWeb, SaaS and Cloud operational applications that require high availability, scalability...
» more
Key customersDeutsche Bank, DBS Bank, Nasdaq, Red Hat, ServiceNow, Verizon and Walgreens Featured...
» more
Market metricsMariaDB is the default database in the LAMP stack supplied by Red Hat and SUSE Linux,...
» more
Licensing and pricing modelsMariaDB plc subscriptions cover our free, open source database, Community Server,...
» more

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More resources
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022IBM Db2 infoformerly named DB2 or IBM Database 2MariaDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseTeradata Aster
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