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DBMS > Ignite vs. OpenQM vs. TimescaleDB

System Properties Comparison Ignite vs. OpenQM vs. TimescaleDB

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Editorial information provided by DB-Engines
NameIgnite  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.QpenQM is a high-performance, self-tuning, multi-value DBMSA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelKey-value store
Relational DBMS
Multivalue DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.85
Rank#74  Overall
#10  Key-value stores
#41  Relational DBMS
Score0.42
Rank#251  Overall
#9  Multivalue DBMS
Score3.72
Rank#89  Overall
#5  Time Series DBMS
Websiteignite.apache.orgwww.openqm.comwww.timescale.com
Technical documentationapacheignite.readme.io/­docswww.openqm.com/­support/­documentationdocs.timescale.com
DeveloperApache Software FoundationMartin PhillipsTimescale
Initial release201519932017
Current releaseApache Ignite 2.63.4-12
License infoCommercial or Open SourceOpen Source infoApache 2.0Open 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++, Java, .NetC
Server operating systemsLinux
OS X
Solaris
Windows
AIX
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.yesyesyes
Secondary indexesyesyesyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLnoyes infofull PostgreSQL SQL syntax
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
.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 proceduresyes (compute grid and cache interceptors can be used instead)yesuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersyes (cache interceptors and events)yesyes
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 nodesyes (replicated cache)yesSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
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.yesno
User concepts infoAccess controlSecurity Hooks for custom implementationsAccess rights can be defined down to the item levelfine grained access rights according to SQL-standard
More information provided by the system vendor
IgniteOpenQM infoalso called QMTimescaleDB
Specific characteristicsTimescale is the creator of TimescaleDB , the first open-source relational database...
» more
Competitive advantagesTimescaleDB is purpose-built to scale and handle time-series data workloads and is...
» more
Typical application scenariosDevOps and Infrastructure Monitoring All monitoring data is time-series data. Efficiently...
» more
Key customersTransferWise, Maersk, AppDynamics, Walmart, Comcast, LaunchDarkly, IBM, NOV, Cisco,...
» more
Market metricsWith over 9,000 GitHub stars and growing, 600,000 active databases, and an active...
» more
Licensing and pricing modelsTimescaleDB comes in 3 versions, including fully managed Cloud-hosted solutions*,...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
IgniteOpenQM infoalso called QMTimescaleDB
Recent citations in the news

GridGain Opens Registration, Announces Call for Papers for Ignite Summit
31 August 2021, GlobeNewswire

First Apache Ignite Summit Energizes Global Audience
10 June 2021, GlobeNewswire

The Apache® Software Foundation Announces Annual Report for
31 August 2021, GlobeNewswire

Optimizing the Relationship Between Apache Ignite and Kubernetes
9 October 2020, Container Journal

GridGain Announces Keynote Speakers for First Ignite Summit
6 May 2021, GlobeNewswire

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OpenQM In The Cloud
5 March 2019, International Spectrum Magazine

Encompass Eliminates Downtime with jBASE from Zumasys
2 October 2018, Business Wire

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Understanding Hyperfunctions in TimescaleDB
11 August 2021, CDOTrends

Timescale grabs $40M Series B as it goes all in on cloud version of time series database
5 May 2021, TechCrunch

Timescale Launches Industry's First Multi-Node Relational Database for Time-Series Data, Giving Organizations Unprecedented Scale
29 October 2020, Business Wire

Timescale scales out and sets its sights on analytics
17 June 2021, ZDNet

Timescale announces $15M investment and new enterprise version of TimescaleDB
29 January 2019, TechCrunch

provided by Google News

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