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DBMS > InfluxDB vs. InterSystems IRIS vs. TerarkDB

System Properties Comparison InfluxDB vs. InterSystems IRIS vs. TerarkDB

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Editorial information provided by DB-Engines
NameInfluxDB  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionDBMS for storing time series, events and metricsA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelTime Series DBMSDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score19.62
Rank#33  Overall
#1  Time Series DBMS
Score0.92
Rank#155  Overall
#20  Document stores
#25  Key-value stores
#6  Object oriented DBMS
#77  Relational DBMS
Score0.08
Rank#301  Overall
#51  Key-value stores
Websitewww.influxdata.com/­time-series-platform/­influxdbwww.intersystems.com/­products/­intersystems-irisgithub.com/­Terark/­terarkdb
Technical documentationdocs.influxdata.com/­influxdbdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clsgithub.com/­Terark/­terarkdb/­wiki
DeveloperInterSystemsTerark
Initial release201320182016
Current release1.7.8, August 20192018.1.1, February 2018
License infoCommercial or Open SourceOpen Source infoMIT-License; commercial enterprise version availablecommercialcommercial inforestricted open source version available
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 languageGoC++
Server operating systemsLinux
OS X infothrough Homebrew
AIX
Linux
macOS
Windows
Data schemeschema-freedepending on used data modelschema-free
Typing infopredefined data types such as float or dateNumeric data and Stringsyesno
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 indexesnoyesno
SQL infoSupport of SQLSQL-like query languageyesno
APIs and other access methodsHTTP API
JSON over UDP
RESTful HTTP API
JDBC
ODBC
C++ API
Java API
Supported programming languages.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
C++
Java
JavaScript (Node.js)
Python
C++
Java
Server-side scripts infoStored proceduresnoyesno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoin enterprise version onlyShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoin enterprise version onlyMaster-slave replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
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 infoDepending on used storage engineyesyes
User concepts infoAccess controlsimple rights management via user accountsyesno
More information provided by the system vendor
InfluxDBInterSystems IRISTerarkDB
Specific characteristicsInterSystems IRIS is a complete “cloud-first” data platform which includes a multi-model...
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More resources
InfluxDBInterSystems IRISTerarkDB
DB-Engines blog posts

Why Build a Time Series Data Platform?
20 July 2017, Paul Dix (guest author)

Time Series DBMS are the database category with the fastest increase in popularity
4 July 2016, Matthias Gelbmann

Time Series DBMS as a new trend?
1 June 2015, Paul Andlinger

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Recent citations in the news

InfluxDB Cloud 2.0 expands open source time series database
17 September 2019, TechTarget

InfluxData Opens London Office to Meet Demand as Time Series Databases Take off in EMEA
9 October 2019, Yahoo Finance

InfluxData Releases Serverless Time Series Database for Cloud
23 September 2019, ADT Magazine

InfluxData launches InfluxDB Cloud 2.0 – the first serverless time series platform-as-a-service
10 September 2019, Business Wire

An Introduction to InfluxDB
5 August 2019, The Collegian

provided by Google News

InterSystems Streamlines Adoption of InterSystems IRIS Data Platform™ with Enhanced Availability on AWS Marketplace
1 October 2019, Business Wire

InterSystems Introduces QuickML™ to Add Machine Learning to Applications Directly From SQL
23 September 2019, Business Wire

InterSystems launches QuickML with machine learning capabilities
24 September 2019, App Developer Magazine

InterSystems simplifies the machine learning process with new solution
23 September 2019, KMWorld Magazine

InterSystems' Data Mgmt Platform Now Available on AWS Marketplace
3 October 2019, ExecutiveBiz

provided by Google News

A Chinese company is making the cloud 200x faster · TechNode
3 July 2017, TechNode

ByteDance eyes big data push with Terark acquisition
30 April 2019, EJ Insight

Terark, A Chinese Startup, May Have Just Revolutionized How Data Is Stored, Accessed & Analyzed
26 June 2017, Indiatimes.com

provided by Google News

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