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DBMS > Microsoft SQL Server vs. OmniSci

System Properties Comparison Microsoft SQL Server vs. OmniSci

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Editorial information provided by DB-Engines
NameMicrosoft SQL Server  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparison
DescriptionMicrosofts relational DBMSA high performance, in-memory, column-oriented RDBMS, designed to run on GPUs
Primary database modelRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1043.12
Rank#3  Overall
#3  Relational DBMS
Score2.23
Rank#123  Overall
#61  Relational DBMS
Websitewww.microsoft.com/­en-us/­sql-serverwww.omnisci.com
Technical documentationdocs.microsoft.com/­en-US/­sql/­sql-serverdocs.omnisci.com
DeveloperMicrosoftMapD Technologies, Inc.
Initial release19892016
Current releaseSQL Server 2019, November 2019V4
License infoCommercial or Open Sourcecommercial inforestricted free version is availableOpen Source infoApache Version 2; enterprise edition available
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++ and CUDA
Server operating systemsLinux
Windows
Linux
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
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.yesno
Secondary indexesyesno
SQL infoSupport of SQLyesyes
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
JDBC
ODBC
Thrift
Supported programming languagesC#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javano
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodestables can be distributed across several files (horizontal partitioning); sharding through federationSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesyes, but depending on the SQL-Server EditionMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
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-standardfine grained access rights according to SQL-standard

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More resources
Microsoft SQL ServerOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
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