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DBMS > InterSystems IRIS vs. TimescaleDB

System Properties Comparison InterSystems IRIS vs. TimescaleDB

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Editorial information provided by DB-Engines
NameInterSystems IRIS  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Time Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.23
Rank#141  Overall
#22  Document stores
#24  Key-value stores
#5  Object oriented DBMS
#69  Relational DBMS
Score2.18
Rank#110  Overall
#6  Time Series DBMS
Websitewww.intersystems.com/­products/­intersystems-iriswww.timescale.com
Technical documentationdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clsdocs.timescale.com
DeveloperInterSystemsTimescale
Initial release20182017
Current release2018.1.1, February 2018
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC
Server operating systemsAIX
Linux
macOS
Windows
Linux
OS X
Windows
Data schemedepending on used data modelyes
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.yesyes
Secondary indexesyesyes
SQL infoSupport of SQLyesyes 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 languages.Net
C++
Java
JavaScript (Node.js)
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyesuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationMaster-slave replication with hot standby and reads on slaves info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlyesfine grained access rights according to SQL-standard
More information provided by the system vendor
InterSystems IRISTimescaleDB
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
» more
Timescale is the creator of TimescaleDB , the first open-source time-series database...
» 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 customersComcast, Cray, Cree, DNSFilter, LAIKA, Nutanix, Sakura Internet, Schneider Electric,...
» more
Market metricsWith over 8.5K GitHub stars and growing, 1.8 million+ downloads, and an active Slack...
» more
Licensing and pricing modelsTimescaleDB comes in 3 versions, including a fully managed Cloud-hosted solution,...
» more

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InterSystems IRISTimescaleDB
Recent citations in the news

InterSystems Expands AWS Support to Accelerate Cloud-First Development
21 May 2020, Business Wire

InterSystems empowers organisations to more quickly, easily develop and deploy machine learning-powered applications in China's leading cloud provider
11 May 2020, ITWeb

InterSystems Releases New Version of InterSystems IRIS™ Data Platform
24 March 2020, Business Wire

InterSystems IRIS Data Platform Now Available: New Unified Data Platform For Building Scalable, Interoperable, And Analytical Data-Rich Applications
5 February 2018, AiThority

Updated InterSystems IRIS simplifies development and deployment of real-time, ML-enabled apps
26 March 2020, Help Net Security

provided by Google News

TimescaleDB Delivers Another Option for Time-Series Analytics
17 October 2019, Datanami

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

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

TimescaleDB Readies its 1.0 Launch for Primetime
13 September 2018, RTInsights

Introducing Timescale Cloud: The First Fully-Managed, Multi-Cloud Time-Series Database Service
18 June 2019, Business Wire

provided by Google News

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