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DBMS > Hypertable vs. Kinetica vs. OmniSci vs. TimescaleDB

System Properties Comparison Hypertable vs. Kinetica vs. OmniSci vs. TimescaleDB

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Editorial information provided by DB-Engines
NameHypertable  Xexclude from comparisonKinetica  Xexclude from comparisonOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018  Xexclude from comparisonTimescaleDB  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 datasetsA high performance, in-memory, column-oriented RDBMS, designed to run on GPUsA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelWide column storeRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.54
Rank#194  Overall
#96  Relational DBMS
Score1.80
Rank#109  Overall
#54  Relational DBMS
Score1.40
Rank#126  Overall
#8  Time Series DBMS
Websitewww.kinetica.comwww.omnisci.comwww.timescale.com
Technical documentationwww.kinetica.com/­docswww.omnisci.com/­docs/­latestdocs.timescale.com
DeveloperHypertable Inc.KineticaMapD Technologies, Inc.Timescale
Initial release2009201220162017
Current release0.9.8.11, March 20166.0V4
License infoCommercial or Open SourceOpen Source infoGNU version 3. Commercial license availablecommercialOpen Source infoApache Version 2; enterprise edition availableOpen Source infoApache 2.0
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++ and CUDAC
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
LinuxLinuxLinux
OS X
Windows
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or datenoyesyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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.nonoyes
Secondary indexesrestricted infoonly exact value or prefix value scansyesnoyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsyesyes infofull PostgreSQL SQL syntax
APIs and other access methodsC++ API
Thrift
RESTful HTTP API
JDBC
ODBC
Thrift
JDBC
ODBC
native C library
streaming API for large objects
ADO.NET
JDBC
ODBC
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
All languages supporting JDBC/ODBC/Thrift
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnouser defined functionsnouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangenoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoRound robinyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelMaster-slave replicationMaster-master replicationMaster-slave replication with hot standby and reads on slaves info
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 integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID
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 RAMyesno
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
HypertableKineticaOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018TimescaleDB
Specific characteristicsTimescaleDB is the first open-source time-series database that combines the reliability,...
» more
Competitive advantagesTimescaleDB is purpose-built to scale and handle time-series data workloads and is...
» more
Typical application scenariosIoT, Industrial Machine, and Sensor Data Various industrial IoT use cases across...
» more
Key customersAltair Engineering Inc., Bloomberg, Comcast, Cray, Cree, DNSFilter, Laika, LaunchDarkly,...
» more
Market metrics1 million+ downloads, 6,500+ Github stars
» more
Licensing and pricing modelsApache 2 and Timescale License (TSL); information on pricing for support and enterprise...
» more

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More resources
HypertableKineticaOmniSci infoFormerly named 'MapD', rebranded to 'OmniSci' in September 2018TimescaleDB
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