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DBMS > IRONdb vs. TimescaleDB vs. TimesTen

System Properties Comparison IRONdb vs. TimescaleDB vs. TimesTen

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Editorial information provided by DB-Engines
NameIRONdb  Xexclude from comparisonTimescaleDB  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQLIn-Memory RDBMS compatible to Oracle
Primary database modelTime Series DBMSTime Series DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.05
Rank#324  Overall
#28  Time Series DBMS
Score1.52
Rank#124  Overall
#8  Time Series DBMS
Score2.04
Rank#106  Overall
#53  Relational DBMS
Websitewww.irondb.iowww.timescale.comwww.oracle.com/­database/­timesten-in-memory-database/­index.html
Technical documentationwww.irondb.io/­docsdocs.timescale.comwww.oracle.com/­technetwork/­database/­database-technologies/­timesten/­documentation/­index.html
DeveloperCirconus LLC.TimescaleOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release201720171998
Current releaseV0.10.20, January 201811 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++C
Server operating systemsLinuxLinux
OS X
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyes infotext, numeric, histogramsnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data 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.noyesno
Secondary indexesnoyesyes
SQL infoSupport of SQLSQL-like query language (Circonus Analytics Query Language: CAQL)yes infofull PostgreSQL SQL syntaxyes
APIs and other access methodsHTTP APInative C library
streaming API for large objects
ADO.NET
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
JDBC
ODBC
Supported programming languages.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresyes, in Luauser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shellPL/SQL
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesAutomatic, metric affinity per nodeyes, across time and space (hash partitioning) attributesnone
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter awareMaster-slave replication with hot standby and reads on slaves infoMaster-master replication
Master-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency per node, eventual consistency across nodesImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesyes
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 infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
IRONdbTimescaleDBTimesTen
Specific characteristicsIRONdb is a highly available, distributed Time Series Database. It can support dozens...
» more
TimescaleDB is the first open-source time-series database that combines the reliability,...
» more
The world's first commercial In-Memory Relational Database offering (launched in...
» more
Competitive advantagesUnmatched Scalability IRONdb is unique among TSDBs in that it does not use a consensus...
» more
TimescaleDB is purpose-built to scale and handle time-series data workloads and is...
» more
TimesTen offers many advantages over competing products: Mature product with nearly...
» more
Typical application scenariosReal Systems Monitoring Monitor your systems infrastructure in real time across thousands...
» more
IoT, Industrial Machine, and Sensor Data Various industrial IoT use cases across...
» more
TimesTen can be used in a wide range of application areas. Some examples include:...
» more
Key customersIRONdb serves the needs of the world's largest Time Series Database customers. One...
» more
Altair Engineering Inc., Bloomberg, Comcast, Cray, Cree, DNSFilter, Laika, LaunchDarkly,...
» more
Some of our key customers include Ericsson , Telcordia , China Mobile, China Telecom,...
» more
Market metricsOnly TSDB capable of scaling to billions of metrics. Only TSDB to scale to dozens...
» more
1 million+ downloads, 6,500+ Github stars
» more
TimesTen is used by thousands of customers in tens of thousands of deployments worldwide...
» more
Licensing and pricing modelsIRONdb is licensed under a subscription model based on the number of active metrics...
» more
Apache 2 and Timescale License (TSL); information on pricing for support and enterprise...
» more
Standard Oracle licence models ; end user and ISV/OEM licence terms available.
» more

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More resources
IRONdbTimescaleDBTimesTen
Recent citations in the news

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

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

The First Complete Life-Cycle Database Management Solution for TimescaleDB
16 April 2019, PRNewswire

Why time series databases are exploding in popularity
26 June 2019, TechRepublic

Timescale and Microsoft Azure Join Forces to Power IoT and Time-Series Workloads
18 March 2019, Business Wire

provided by Google News

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15 July 2013, Register

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25 January 2012, Business Insider

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