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

DBMS > Hypertable vs. Kinetica vs. Microsoft Azure Cosmos DB vs. OmniSci

System Properties Comparison Hypertable vs. Kinetica vs. Microsoft Azure Cosmos DB 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 Azure Cosmos DB infoformer name was Azure DocumentDB  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 datasetsGlobally distributed, horizontally scalable, multi-model database serviceA high performance, in-memory, column-oriented RDBMS, designed to run on GPUs
Primary database modelWide column storeRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.54
Rank#194  Overall
#96  Relational DBMS
Score30.87
Rank#24  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score1.80
Rank#109  Overall
#54  Relational DBMS
Websitewww.kinetica.comazure.microsoft.com/­services/­cosmos-dbwww.omnisci.com
Technical documentationwww.kinetica.com/­docsdocs.microsoft.com/­en-us/­azure/­cosmos-dbwww.omnisci.com/­docs/­latest
DeveloperHypertable Inc.KineticaMicrosoftMapD Technologies, Inc.
Initial release2009201220142016
Current release0.9.8.11, March 20166.0V4
License infoCommercial or Open SourceOpen Source infoGNU version 3. Commercial license availablecommercialcommercialOpen 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++ and CUDA
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
LinuxhostedLinux
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or datenoyesyes infoJSON typesyes
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 indexesrestricted infoonly exact value or prefix value scansyesyes infoAll properties auto-indexed by defaultno
SQL infoSupport of SQLnoSQL-like DML and DDL statementsSQL-like query languageyes
APIs and other access methodsC++ API
Thrift
RESTful HTTP API
JDBC
ODBC
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
Thrift
JDBC
ODBC
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
All languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresnouser defined functionsJavaScriptno
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangeJavaScriptno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoImplicit feature of the cloud serviceSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelMaster-slave replicationyes infoImplicit feature of the cloud serviceMaster-master replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationBounded Staleness
Consistent Prefix
Session Consistency
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Immediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoMulti-item ACID transactions with snapshot isolation within a partitionno
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 controlnoAccess rights for users and roles on table levelAccess rights can be defined down to the item levelfine 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 partiesCData: Connect to Big Data & NoSQL through standard Drivers.
» more

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

More resources
HypertableKineticaMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018
Recent citations in the news

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

NoSQL Market Opportunity Assessments 2019-2025| Microsoft SQL Server, MySQL, MongoDB, PostgreSQL, Oracle Database, Basho Technologies, Aerospike, IBM, Neo, Hypertable, Cisco, Objectivity, etc
26 August 2019, Tribune City

NoSQL Market 2019 Global Insights and Strategic Assessment – Microsoft SQL Server, MySQL, IBM, Cisco
29 August 2019, Industry Segment

NoSQL Market – Volume Analysis, Segments, Value Share and Key Trends 2015-2023
30 August 2019, SocioHerald

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

provided by Google News

Global GPU Database Market Revenue Strategy 2019-2024 | Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt
21 August 2019, Tribune City

GPU Database Market Estimated to Rising at a Lucrative CAGR of +20% between 2019 and 2028 with Leading Vendors: Kinetica, OmniSci, SQream, Neo4j, NVIDIA, Brytlyt, Blazegraph, BlazingDB
30 August 2019, Technology News

Greatest Progress in GPU Database Market to Access Global Industry Players like Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt
3 September 2019, Market Research Report

Know in depth about Global GPU Database Market, What Recent Study say about Top Companies like Kinetica, Omnisci, Sqream
4 September 2019, Press Releases

GPU Database Market 2019: With Top Key Player and Countries Data: Trends and Forecast 2023, Industry Analysis by Regions, Type and Applications - Press Release
16 September 2019, Digital Journal

provided by Google News

Azure Cosmos DB update for August 2019 | Azure Friday - Microsoft
30 August 2019, Channel 9

Global Document Databases Software Market 2019 Industry Status MongoDB, Amazon, ArangoDB, Azure Cosmos DB, Couchbase
16 September 2019, Herald Writer 24

Document Databases Software Market Is Booming Worldwide | MongoDB, Amazon, ArangoDB, Azure Cosmos DB
12 September 2019, Indian Columnist

NoSQL Databases Software Market Is Booming Worldwide | MongoDB, Amazon, ArangoDB, Azure Cosmos DB, Couchbase
26 August 2019, Indian Columnist

Document Databases Software Market to Witness Massive Growth | MongoDB, Amazon, ArangoDB, Azure Cosmos DB
29 August 2019, Market Report Gazette

provided by Google News

GPU Database Market Growth, Key Futuristic Trends And Competitive Landscape 2019-2025- Omnisci, Kinetica, Sqream
16 September 2019, Market Segment

Global GPU Database Market Revenue Strategy 2019-2024 | Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt
21 August 2019, Tribune City

GPU Database Market 2019 explosive growth with technical aspects by major players BlazingDB, Anaconda, OmniSci, Blazegraph, Fuzzy Logix, NVIDIA, Zilliz, Brytlyt, HeteroDB, SQream
12 September 2019, Tribune City

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

GPU Database Market Estimated to Rising at a Lucrative CAGR of +20% between 2019 and 2028 with Leading Vendors: Kinetica, OmniSci, SQream, Neo4j, NVIDIA, Brytlyt, Blazegraph, BlazingDB
30 August 2019, Technology News

provided by Google News

Job opportunities

Senior Infrastructure Engineer
Phone Greetings, Orlando, FL

C#, ASP .Net, Azure Full stack Architect
ITL USA, Redmond, WA

Cloud Architect – AI and Automation
Guidehouse, Washington, DC

Software Engineer II
Microsoft, Redmond, WA

Azure Data Analytics Architect
Blue Chip Consulting Group, Remote

Technology Architect -Azure
ITL USA, Redmond, WA

Technology Architect - Data Engineering
In-Q-Tel, Arlington, VA

Sales Director - Department of Defense
OmniSci, Washington, DC

Senior Backend Test Engineer
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

Start now with Redis Cloud
Secure, highly available Redis as a serverless, hosted, fully managed cloud service.
Sign up here.

RavenDB logo

Setup a fully managed RavenDB Cloud Database in minutes. Enjoy hosting, management, backups all in one place.
Grab a Free Instance

Couchbase logo

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

Present your product here