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DBMS > HEAVY.AI vs. Hypertable vs. IBM Db2 warehouse vs. Microsoft Azure SQL Database

System Properties Comparison HEAVY.AI vs. Hypertable vs. IBM Db2 warehouse vs. Microsoft Azure SQL Database

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Editorial information provided by DB-Engines
NameHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonHypertable  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareAn open source BigTable implementation based on distributed file systems such as HadoopCloud-based data warehousing serviceDatabase as a Service offering with high compatibility to Microsoft SQL Server
Primary database modelRelational DBMSWide column storeRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMSDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score1.30
Rank#164  Overall
#75  Relational DBMS
Score77.99
Rank#16  Overall
#11  Relational DBMS
Websitegithub.com/­heavyai/­heavydb
www.heavy.ai
www.ibm.com/­products/­db2/­warehouseazure.microsoft.com/­en-us/­products/­azure-sql/­database
Technical documentationdocs.heavy.aidocs.microsoft.com/­en-us/­azure/­azure-sql
DeveloperHEAVY.AI, Inc.Hypertable Inc.IBMMicrosoft
Initial release2016200920142010
Current release5.10, January 20220.9.8.11, March 2016V12
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availableOpen Source infoGNU version 3. Commercial license availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ and CUDAC++C++
Server operating systemsLinuxLinux
OS X
Windows infoan inofficial Windows port is available
hostedhosted
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyes
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.nono infoImport/export of XML data possibleyes
Secondary indexesnorestricted infoonly exact value or prefix value scansyesyes
SQL infoSupport of SQLyesnoyesyes
APIs and other access methodsJDBC
ODBC
Thrift
Vega
C++ API
Thrift
.NET Client API
JDBC
ODBC
OLE DB
ADO.NET
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
C++
Java
Perl
PHP
Python
Ruby
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonoPL/SQL, SQL PLTransact SQL
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationselectable replication factor on file system levelyesyes, with always 3 replicas available
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022HypertableIBM Db2 warehouse infoformerly named IBM dashDBMicrosoft Azure SQL Database infoformerly SQL Azure
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