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DBMS > Kinetica vs. OpenQM vs. TimescaleDB

System Properties Comparison Kinetica vs. OpenQM vs. TimescaleDB

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionFully vectorized database across both GPUs and CPUsQpenQM is a high-performance, self-tuning, multi-value DBMSA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelRelational DBMSMultivalue DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.55
Rank#230  Overall
#110  Relational DBMS
Score0.19
Rank#290  Overall
#10  Multivalue DBMS
Score4.79
Rank#81  Overall
#5  Time Series DBMS
Websitewww.kinetica.comwww.openqm.comwww.timescale.com
Technical documentationwww.kinetica.com/­docswww.openqm.com/­support/­documentationdocs.timescale.com
DeveloperKineticaMartin PhillipsTimescale
Initial release201219932017
Current release7.1, August 20213.4-122.6.0, February 2022
License infoCommercial or Open SourcecommercialOpen Source infoGPLv2, extended commercial license availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++C
Server operating systemsLinuxAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
Linux
OS X
Windows
Data schemeyesyes infowith some exceptionsyes
Typing infopredefined data types such as float or dateyesnumerics, 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.noyesyes
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyes infofull PostgreSQL SQL syntax
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
.Net
Basic
C
Java
Objective C
PHP
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresuser defined functionsyesuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangeyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingyesyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
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.yes infoGPU vRAM or System RAMno
User concepts infoAccess controlAccess 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
KineticaOpenQM infoalso called QMTimescaleDB
Specific characteristicsNative and fully vectorized database across both GPUs and CPUs, with memory first...
» more
Timescale is the creator of TimescaleDB , the first open-source relational database...
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Competitive advantagesBest in class geospatial and temporal analytics. Lockless architecture provides real-time...
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TimescaleDB is purpose-built to scale and handle time-series data workloads and is...
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Typical application scenariosAny application requiring (1) real time insights, (2) time series analysis (3) geospatial...
» more
Time-series Analytics TimescaleDB boosts the performance of PostgreSQL for time-series...
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Key customersCitibank, US Air Force, Softbank, OVO, Telkomsel, USPS, 2 of the top 3 US Telcos,...
» more
TransferWise, Maersk, Walmart, Comcast, LaunchDarkly, IBM, NOV, Cisco, Nutanix, Warner...
» more
Market metricsThe largest IoT deployment in the world, NORAD, runs on Kinetica.
» more
With over 12,700 GitHub stars and growing, 1,000,000 active databases, and an active...
» more
Licensing and pricing modelsAlways Free Tier in the Cloud, Pay-As-You-Go Consumption Based Pricing, and Portable...
» more
TimescaleDB is available as a self-hosted product under two licenses, the Timescale...
» more

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More resources
KineticaOpenQM infoalso called QMTimescaleDB
Recent citations in the news

Bank Replaces Hundreds of Spark Streaming Nodes with Kinetica
6 January 2022, Datanami

Kinetica Now Accessible as a Service on Microsoft Azure
14 October 2021, HPCwire

Review: Snowflake aces Python machine learning
3 August 2022, InfoWorld

Review: Kinetica analyzes billions of rows in real time
29 April 2019, InfoWorld

Kinetica raises $50 million to provide GPU-powered data insights
29 June 2017, VentureBeat

provided by Google News

OpenQM
9 January 2019, International Spectrum Magazine

provided by Google News

Timescale Releases Third State of PostgreSQL Report
29 July 2022, PR Newswire

Timescale Valuation Rockets to Over $1B with $110M Round, Marking the Explosive Rise of Time-Series Data
22 February 2022, Business Wire

Timescale launches the new Timescale Cloud, a hosted relational database for time-series
5 October 2021, Business Wire

Timescale Announces OpenTelemetry Tracing Support for Promscale
16 May 2022, Business Wire

Understanding Hyperfunctions in TimescaleDB
11 August 2021, CDOTrends

provided by Google News

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