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DBMS > Drizzle vs. Kinetica vs. Microsoft Azure SQL Database vs. OmniSci

System Properties Comparison Drizzle vs. Kinetica vs. Microsoft Azure SQL Database vs. OmniSci

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonKinetica  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.GPU-accelerated database for real-time analysis of large and streaming datasetsDatabase as a Service offering with high compatibility to Microsoft SQL ServerA high performance, in-memory, column-oriented RDBMS, designed to run on GPUs
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#199  Overall
#98  Relational DBMS
Score27.99
Rank#25  Overall
#14  Relational DBMS
Score2.74
Rank#103  Overall
#52  Relational DBMS
Websitewww.kinetica.comazure.microsoft.com/­en-us/­services/­sql-databasewww.omnisci.com
Technical documentationwww.kinetica.com/­docsdocs.microsoft.com/­en-us/­azure/­sql-databasewww.omnisci.com/­docs/­latest
DeveloperDrizzle project, originally started by Brian AkerKineticaMicrosoftMapD Technologies, Inc.
Initial release2008201220102016
Current release7.2.4, September 20126.0V12V4
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercialcommercialOpen Source infoApache Version 2; enterprise edition available
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C, C++C++C++ and CUDA
Server operating systemsFreeBSD
Linux
OS X
LinuxhostedLinux
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesyesyesno
SQL infoSupport of SQLyes infowith proprietary extensionsSQL-like DML and DDL statementsyesyes
APIs and other access methodsJDBCRESTful HTTP API
JDBC
ODBC
JDBC
ODBC
ADO.NET
Thrift
JDBC
ODBC
Supported programming languagesC
C++
Java
PHP
C++
Java
JavaScript (Node.js)
Python
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresnouser defined functionsTransact SQLno
Triggersno infohooks for callbacks inside the server can be used.yes infotriggers when inserted values for one or more columns fall within a specified rangeyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication
Master-slave replication
Master-slave replicationyes, with always 3 replicas availableMaster-master replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users and roles on table levelfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
DrizzleKineticaMicrosoft Azure SQL Database infoformerly SQL AzureOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
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Recent citations in the news

Smart Vending Machines Deliver On Data
29 July 2019, Forbes

GPU Database Market SWOT Analysis by Key Futuristic Trends from 2019-2025 | Kinetica, Omnisci, Sqream
31 July 2019, Daily Research Chronicle

GPU Database Market SWOT Analysis including key players Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt, Jedox, Blazegraph, Blazingdb
26 July 2019, PortNews24

GPU Database Market Size, Status and Forecast 2019-2025 | Omnisci, Sqream, Kinetica
24 July 2019, Market Analyst

GPU Database Market Global Industry Growth, Historical Analysis, Size, Trends, Emerging Factors, Demands, Key Players, Emerging Technologies and Potential of Industry Till 2025
9 August 2019, Boston Life News

provided by Google News

Microsoft: Updated Azure SQL Database SLA Is Industry Best
1 August 2019, Redmond Channel Partner

A conversation about SLA for Azure SQL Database - Microsoft
7 August 2019, Channel 9

Microsoft Azure Updates: Marketplace changes; Azure SQL Database SLAs; TLS 1.0; VNet peering
7 August 2019, MSDynamicsWorld.com

SQL Server in Azure database choices and what they offer users
29 July 2019, TechTarget

Migrating SQL Server to Azure SQL Database Managed Instance
9 July 2019, Read IT Quik

provided by Google News

Review: OmniSci GPU database lifts huge data sets
1 April 2019, InfoWorld

GPU Database Market SWOT Analysis by Key Futuristic Trends from 2019-2025 | Kinetica, Omnisci, Sqream
31 July 2019, Daily Research Chronicle

GPU Database Market SWOT Analysis including key players Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt, Jedox, Blazegraph, Blazingdb
26 July 2019, PortNews24

GPU Database Market Size, Status and Forecast 2019-2025 | Omnisci, Sqream, Kinetica
24 July 2019, Market Analyst

GPU Database Market Global Industry Growth, Historical Analysis, Size, Trends, Emerging Factors, Demands, Key Players, Emerging Technologies and Potential of Industry Till 2025
9 August 2019, Boston Life News

provided by Google News

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