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DBMS > HEAVY.AI vs. Microsoft SQL Server vs. SpaceTime

System Properties Comparison HEAVY.AI vs. Microsoft SQL Server vs. SpaceTime

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Editorial information provided by DB-Engines
NameHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonSpaceTime  Xexclude from comparison
DescriptionA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareMicrosofts flagship relational DBMSSpaceTime is a spatio-temporal DBMS with a focus on performance.
Primary database modelRelational DBMSRelational DBMSSpatial DBMS
Secondary database modelsSpatial DBMSDocument store
Graph DBMS
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.52
Rank#147  Overall
#67  Relational DBMS
Score807.65
Rank#3  Overall
#3  Relational DBMS
Score0.00
Rank#378  Overall
#7  Spatial DBMS
Websitegithub.com/­heavyai/­heavydb
www.heavy.ai
www.microsoft.com/­en-us/­sql-serverwww.mireo.com/­spacetime
Technical documentationdocs.heavy.ailearn.microsoft.com/­en-US/­sql/­sql-server
DeveloperHEAVY.AI, Inc.MicrosoftMireo
Initial release201619892020
Current release5.10, January 2022SQL Server 2022, November 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availablecommercial inforestricted free version is availablecommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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SQLServer Flex @ STACKIT offers a managed version of SQL Server with adjustable CPU, RAM, storage amount and speed, in enterprise grade to perfectly match all application requirements. All services are 100% GDPR-compliant.
Implementation languageC++ and CUDAC++C++
Server operating systemsLinuxLinux
Windows
Linux
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.noyesno
Secondary indexesnoyesno
SQL infoSupport of SQLyesyesA subset of ANSI SQL is implemented
APIs and other access methodsJDBC
ODBC
Thrift
Vega
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
C#
C++
Python
Server-side scripts infoStored proceduresnoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javano
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robintables can be distributed across several files (horizontal partitioning); sharding through federationFixed-grid hypercubes
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes, but depending on the SQL-Server EditionReal-time block device replication (DRBD)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardyes

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More resources
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Microsoft SQL ServerSpaceTime
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Conferences, events and webinars

PASS Data Community Summit
Seattle, Washington, 4-8 November 2024

Recent citations in the news

HEAVY.AI Launches HEAVY 7.0, Introducing Real-Time Machine Learning Capabilities
19 April 2023, Business Wire

OmniSci Gets HEAVY New Name and New CEO
1 March 2022, Datanami

Making the most of geospatial intelligence
14 April 2023, InfoWorld

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13 July 2023, Spiceworks News and Insights

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