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DBMS > Microsoft Azure Cosmos DB vs. Microsoft Azure Table Storage vs. OmniSci

System Properties Comparison Microsoft Azure Cosmos DB vs. Microsoft Azure Table Storage vs. OmniSci

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Editorial information provided by DB-Engines
NameMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparison
DescriptionGlobally distributed, horizontally scalable, multi-model database serviceA Wide Column Store for rapid development using massive semi-structured datasetsA high performance, in-memory, column-oriented RDBMS, designed to run on GPUs
Primary database modelDocument store
Graph DBMS
Key-value store
Wide column store
Wide column storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score30.80
Rank#24  Overall
#3  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score5.27
Rank#61  Overall
#5  Wide column stores
Score1.98
Rank#117  Overall
#55  Relational DBMS
Websiteazure.microsoft.com/­services/­cosmos-dbazure.microsoft.com/­en-us/­services/­storage/­tableswww.omnisci.com
Technical documentationdocs.microsoft.com/­en-us/­azure/­cosmos-dbdocs.omnisci.com/­latest
DeveloperMicrosoftMicrosoftMapD Technologies, Inc.
Initial release201420122016
Current releaseV4
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2; enterprise edition available
Cloud-based only infoOnly available as a cloud serviceyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ and CUDA
Server operating systemshostedhostedLinux
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyes infoJSON typesyesyes
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
Secondary indexesyes infoAll properties auto-indexed by defaultnono
SQL infoSupport of SQLSQL-like query languagenoyes
APIs and other access methodsDocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
RESTful HTTP APIJDBC
ODBC
Thrift
Supported programming languages.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresJavaScriptnono
TriggersJavaScriptnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceSharding infoImplicit feature of the cloud serviceSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Master-master replication
MapReduce infoOffers an API for user-defined Map/Reduce methodswith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*nono
Consistency concepts infoMethods to ensure consistency in a distributed systemBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataMulti-item ACID transactions with snapshot isolation within a partitionoptimistic lockingno
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 controlAccess rights can be defined down to the item levelAccess rights based on private key authentication or shared access signaturesfine grained access rights according to SQL-standard

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More resources
Microsoft Azure Cosmos DB infoformer name was Azure DocumentDBMicrosoft Azure Table StorageOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
Recent citations in the news

Microsoft Announces a New Pricing Model Option for Azure Cosmos DB and More Capabilities
3 June 2020, InfoQ.com

Microsoft introduces important changes to Azure Cosmos DB
2 June 2020, Optocrypto

Microsoft introduces major Azure Cosmos DB changes
29 May 2020, TechRadar

Microsoft introduces a more cost-effective way to use Azure Cosmos DB - MSPoweruser
25 May 2020, MSPoweruser

Improved Flexibility, Cost Drive Microsoft Cosmos DB Improvements
23 May 2020, ITPro Today

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15 May 2020, Channel 9

Office Licensing Service and Azure Cosmos DB part 2: Improved performance and availability | Azure blog and updates | Microsoft Azure
14 May 2020, stopthefud

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14 January 2019, InfoWorld

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23 April 2020, Channel 9

Get to know Microsoft Azure Cosmos DB use cases
11 November 2019, TechTarget

provided by Google News

The GPU Database Evolves Into An Analytics Platform
27 May 2020, The Next Platform

GPU Database Market Opportunity Analysis and Industry Forecast 2028 | Kinetica, OmniSci,SQream , Neo4j ,...
4 June 2020, Azizsalon News

Rising Opportunities in GPU Database Market | • Neo4j • Anaconda • NVIDIA • Blazegraph • OmniSci
29 May 2020, Cole of Duty

GPU Database Market Size (COVID-19 Impact) 2020-26: Kinetica DB, OmniSci, Neo4j
1 June 2020, Bandera County Courier

Global GPU Database Market Projected to Reach USD XX.XX billion by 2025- Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt, etc.
22 May 2020, Cole of Duty

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