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DBMS > Adabas vs. Microsoft Azure SQL Data Warehouse vs. OmniSci

System Properties Comparison Adabas vs. Microsoft Azure SQL Data Warehouse vs. OmniSci

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Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonMicrosoft Azure SQL Data Warehouse  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparison
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerA high performance, in-memory, column-oriented RDBMS, designed to run on GPUs
Primary database modelMultivalue DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.34
Rank#70  Overall
#1  Multivalue DBMS
Score9.21
Rank#42  Overall
#26  Relational DBMS
Score2.30
Rank#104  Overall
#50  Relational DBMS
Websitewww.softwareag.com/­corporate/­products/­adabas_natural/­adabas/­default.htmlazure.microsoft.com/­services/­sql-data-warehousewww.omnisci.com
Technical documentationdocs.microsoft.com/­azure/­sql-data-warehousedocs.omnisci.com/­latest
DeveloperSoftware AGMicrosoftMapD Technologies, Inc.
Initial release197120162016
Current releaseV4
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2; enterprise edition available
Cloud-based only infoOnly available as a cloud servicenoyesno
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 systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
hostedLinux
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.nonono
Secondary indexesyesyesno
SQL infoSupport of SQLyes infowith add-on product Adabas SQL Gatewayyesyes
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
ADO.NET
JDBC
ODBC
JDBC
ODBC
Thrift
Supported programming languagesNaturalC#
Java
PHP
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresin NaturalTransact SQLno
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas VistaSharding, horizontal partitioningSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event ReplicatoryesMaster-master replication
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 dataACIDACIDno
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.noyes
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)yesfine grained access rights according to SQL-standard

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More resources
Adabas infodenotes "adaptable data base"Microsoft Azure SQL Data WarehouseOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
DB-Engines blog posts

Azure SQL Data Warehouse, the hub for a trusted and performance optimized cloud data warehouse
1 November 2017,  Arnaud Comet, Microsoft (sponsor) 

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Recent citations in the news

Software AG (OTCMKTS:STWRY) Given Consensus Recommendation of “Hold” by Analysts
6 December 2019, Slater Sentinel

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OmniSci, Intel Join Forces to Produce Better CPU Analytics
2 December 2019, Toolbox

GPU Database Market Latest Trend with Top key players: Kinetica, Omnisci, Sqream
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GPU Database Market Research Report 2019-2025 Global Industry Size by Key Companies- Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt, Blazegraph, Blazingdb, Zilliz, Heterodb, H2o.Ai, Fastdata.Io, Fuzzy Logix
29 November 2019, VaporBlash

GPU Database Market Top companies- Kinetica, OmniSci,SQream , Neo4j , NVIDIA , Brytlyt, Blazegraph , BlazingDB, Zilliz
16 November 2019, News Hours Today

GPU Database Market to Show Strong Growth (Kinetica, Omnisci, Sqream, Neo4j and many more..)
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