DB-EnginesCrateDB bannerEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Hypertable vs. Kinetica vs. Microsoft SQL Server vs. OmniSci

System Properties Comparison Hypertable vs. Kinetica vs. Microsoft SQL Server vs. OmniSci

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameHypertable  Xexclude from comparisonKinetica  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionAn open source BigTable implementation based on distributed file systems such as HadoopGPU-accelerated database for real-time analysis of large and streaming datasetsMicrosofts relational DBMSA high performance, in-memory, column-oriented RDBMS, designed to run on GPUs
Primary database modelWide column storeRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.53
Rank#199  Overall
#97  Relational DBMS
Score1094.72
Rank#3  Overall
#3  Relational DBMS
Score2.08
Rank#105  Overall
#52  Relational DBMS
Websitewww.kinetica.comwww.microsoft.com/­en-us/­sql-serverwww.omnisci.com
Technical documentationwww.kinetica.com/­docsdocs.microsoft.com/­en-ie/­sql/­sql-server/­sql-server-technical-documentationwww.omnisci.com/­docs/­latest
DeveloperHypertable Inc.KineticaMicrosoftMapD Technologies, Inc.
Initial release2009201219892016
Current release0.9.8.11, March 20166.0SQL Server 2017, October 2017V4
License infoCommercial or Open SourceOpen Source infoGNU version 3. Commercial license availablecommercialcommercial inforestricted free version is availableOpen Source infoApache Version 2; enterprise edition available
Cloud-based only infoOnly available as a cloud servicenononono
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 systemsLinux
OS X
Windows infoan inofficial Windows port is available
LinuxLinux
Windows
Linux
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or datenoyesyesyes
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 indexesrestricted infoonly exact value or prefix value scansyesyesno
SQL infoSupport of SQLnoSQL-like DML and DDL statementsyesyes
APIs and other access methodsC++ API
Thrift
RESTful HTTP API
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
ADO.NET
JDBC
ODBC
Thrift
JDBC
ODBC
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresnouser defined functionsTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javano
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangeyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingtables can be distributed across several files (horizontal partitioning); sharding through federationSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelMaster-slave replicationyes, but depending on the SQL-Server EditionMaster-master replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDno
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 RAMyesyes
User concepts infoAccess controlnoAccess rights for users and roles on table levelfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesNavicat for SQL Server gives you a fully graphical approach to database management and development.
» more

SQLPro for MSSQL: A simple but powerful Microsoft SQL Server database client available on iPhone and iPad as well as macOS.
» more

DBHawk is a web-based data management Tool for a SQL Server database.
» more

Navicat Monitor is a safe, simple and agentless remote server monitoring tool for SQL Server and many other database management systems.
» more

General SQL Parser: Instantly adding parsing, decoding, analysis and rewrite SQL processing capability to your products.
» more

ERBuilder provides all the features you would expect from a professional database modeling and design tool.
» more

Dremio is like magic for SQL Server accelerating your analytical queries up to 1,000x.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
HypertableKineticaMicrosoft SQL ServerOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
DB-Engines blog posts

The struggle for the hegemony in Oracle's database empire
2 May 2017, Paul Andlinger

Microsoft SQL Server is the DBMS of the Year
4 January 2017, Matthias Gelbmann, Paul Andlinger

Architecting eCommerce Platforms for Zero Downtime on Black Friday and Beyond
25 November 2016, Tony Branson (guest author)

show all

Conferences and events

PASS Summit 2019
Seattle, Washington, USA, 5-8 November 2019

Recent citations in the news

NoSQL Market 2019 Future Scope – Microsoft SQL Server, MySQL, MongoDB, PostgreSQL
25 September 2019, Mach Tribune

TimescaleDB goes distributed; implements ‘Chunking’ over ‘Sharding’ for scaling-out
22 August 2019, Packt Hub

Timescale Cloud: Managed Time Series Database on Azure, Google Cloud and AWS
27 June 2019, InfoQ.com

Introducing TimescaleDB 1.0, the first OS time-series database with full SQL support
13 September 2018, Packt Hub

TimescaleDB Production Ready
8 November 2018, iProgrammer

provided by Google News

GPU Database Market Is Touching New Level|Kinetica, Omnisci, Sqream
11 October 2019, Global Industry Network

Applying Active Analytics To Dynamic Replenishment
10 October 2019, Forbes

Global GPU Database Market Explored In Latest Research | Key Players: Kinetica, Omnisci, Sqream, Neo4j, Nvidia
13 October 2019, 12 Minute Book

Emerging Growth on GPU Database Market 2019-2026: Leading Companies like Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt, Jedox, Blazegraph, Blazingdb, Zilliz, Heterodb, H2o.Ai
26 September 2019, Market Research Scoop

Kinetica’s Active Analytics Platform is Powered by Oracle Cloud and Available in the Oracle Cloud Marketplace
8 October 2019, Yahoo Finance

provided by Google News

Accelerating Database Recovery with SQL Server 2019
14 October 2019, Database Journal

SQL Server takes a turn towards Kubernetes and big data
30 September 2019, TechRepublic

Why SQL Server 2008's End of Life Should Be on Feds' Minds
18 September 2019, FedTech Magazine

Introducing Microsoft.Data.SqlClient
14 October 2019, InfoQ.com

SQL Transactional Processing Price-Performance Testing
14 October 2019, Gigaom

provided by Google News

GPU Database Market Is Touching New Level|Kinetica, Omnisci, Sqream
11 October 2019, Global Industry Network

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

Huge Demands for New Opportunities on Graphics Processing Unit Database Market 2028 Forecasts and Analysis with Top Key Players like – Zilliz, Brytlyt, Jedox AG, OmniSci
7 October 2019, Sound On Sound Fest

Emerging Growth on GPU Database Market 2019-2026: Leading Companies like Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt, Jedox, Blazegraph, Blazingdb, Zilliz, Heterodb, H2o.Ai
26 September 2019, Market Research Scoop

Greatest Progress in GPU Database Market to Access Global Industry Players like Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt
2 October 2019, Market Report Gazette

provided by Google News

Job opportunities

Senior Infrastructure Engineer
Phone Greetings, Orlando, FL

Sr. Software Engineer (Computer Vision/Data Visualization)
Kinetica DB, Arlington, VA

Machine Learning Engineer
BAIN & COMPANY, Los Angeles, CA

Senior SQL Server Database Administrator
The Cimino Group, Connecticut

Senior SQL Server Database Engineer
Deloitte, Chicago, IL

Senior SQL Server Database Engineer
Deloitte, New York, NY

Senior SQL Server Database Engineer
Deloitte, Dallas, TX

Database Developer
Degreed, Remote

Senior Database Engineer
OmniSci, San Francisco, CA

Senior Software Engineer
OmniSci, San Francisco, CA

Application Support Engineer (Eastern US)
OmniSci, Remote

Senior Software Backend Engineer - Security
OmniSci, San Francisco, CA

Software Engineer - Backend Team
OmniSci, San Francisco, CA

jobs by Indeed




Share this page

Featured Products

Neo4j logo

Get your free copy of the new O'Reilly book Graph Algorithms with 20+ examples for
machine learning, graph analytics and more.

Redis logo

Hosted, serverless DBaaS
in 3 steps.

30MB Free!
Start now.

AllegroGraph logo

Graph Database Leader for AI Knowledge Graph Applications - The Most Secure Graph Database Available.
Free Download

Couchbase logo

SQL + JSON + NoSQL.
Power, flexibility & scale.
All open source.
Get started now.

Present your product here