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DBMS > Microsoft SQL Server vs. OmniSci vs. SAP SQL Anywhere

System Properties Comparison Microsoft SQL Server vs. OmniSci vs. SAP SQL Anywhere

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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 comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparison
DescriptionMicrosofts flagship relational DBMSA high performance, in-memory, column-oriented RDBMS, designed to run on GPUsRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
Primary database modelRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score991.07
Rank#3  Overall
#3  Relational DBMS
Score1.40
Rank#147  Overall
#71  Relational DBMS
Score5.61
Rank#64  Overall
#35  Relational DBMS
Websitewww.microsoft.com/­en-us/­sql-serverwww.omnisci.comwww.sap.com/­products/­sql-anywhere.html
Technical documentationdocs.microsoft.com/­en-US/­sql/­sql-serverdocs.omnisci.comhelp.sap.com/­sql-anywhere
DeveloperMicrosoftMapD Technologies, Inc.SAP infoformerly Sybase
Initial release198920161992
Current releaseSQL Server 2019, November 20195.5, January 202117, July 2015
License infoCommercial or Open Sourcecommercial inforestricted free version is availableOpen Source infoApache Version 2; enterprise edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++ and CUDA
Server operating systemsLinux
Windows
LinuxAIX
HP-UX
Linux
OS X
Solaris
Windows
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.yesnoyes
Secondary indexesyesnoyes
SQL infoSupport of SQLyesyesyes
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
JDBC
ODBC
Thrift
ADO.NET
HTTP API
JDBC
ODBC
Supported programming languagesC#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
All languages supporting JDBC/ODBC/Thrift
Python
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javanoyes, in C/C++, Java, .Net or Perl
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodestables can be distributed across several files (horizontal partitioning); sharding through federationSharding infoRound robinnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, but depending on the SQL-Server EditionMulti-source replicationSource-replica replication infoDatabase mirroring
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 integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
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.yesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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Related products and services
3rd partiesNavicat for SQL Server gives you a fully graphical approach to database management and development.
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Fivetran: Quickly and easily centralize your on-premise and cloud databases.
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DBHawk: Secure access to SQL, NoSQL and Cloud databases with an all-in-one solution.
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Navicat Monitor is a safe, simple and agentless remote server monitoring tool for SQL Server and many other database management systems.
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We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Microsoft SQL ServerOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018SAP SQL Anywhere infoformerly called Adaptive Server Anywhere
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Recent citations in the news

Learn what makes Microsoft SQL Server a market-leading database technologies with this bundle
15 June 2021, Popular Science

Microsoft SQL Server RDBMS Review 2021
3 June 2021, Datamation

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11 June 2021, Entrepreneur

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Graphics Processing Unit Database Market Top Players, Size, Share, Growth, Sales, Opportunities| Jedox AG, OmniSci Inc, HeteroDB Inc – The Manomet Current
17 June 2021, The Manomet Current

Graphics Processing Units (GPU) Database Market Demand & Future Scope Including Top Players and Forecast 2027 – The Manomet Current
14 June 2021, The Manomet Current

OmniSci Announces Multiple Opportunities To Accelerate Geospatial, GPU Database Knowledge At GTC 2021, April 12-16
12 April 2021, PRNewswire

GPU Database Market Growth Opportunities Analysis, Recent Updates, Outlook 2027 Top Companies – Graphistry, BlazingDB, Kinetica, SQream, Zilliz, OmniSci, Brytlyt, etc – Clark County Blog
17 June 2021, Clark County Blog

GPU Database Market 2021 by Manufacturers, Regions, Type and Application, Forecast to 2026 | Blazegraph (SYSTAP, LLC) BlazingDB, Inc. Brytlyt Fuzzy Logix, Inc Jedox AG Kinetica DB Inc. Neo4j, Inc. OmniSci, Inc. SQream Technologies ZILLIZ – Clark Co
17 June 2021, Clark County Blog

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SAP SQL Anywhere
3 April 2018, TechTarget

SAP gives SQL Anywhere a new IoT injection
16 July 2015, Computerworld

Best Database Management Software 2020
14 July 2020, Datamation

Rimini Street looks beyond Oracle and SAP
8 June 2017, ARNnet

SAP IoT products: How do they work with ERP and big data?
28 December 2015, TechTarget

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