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DBMS > InfluxDB vs. TerarkDB vs. TimescaleDB

System Properties Comparison InfluxDB vs. TerarkDB vs. TimescaleDB

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Editorial information provided by DB-Engines
NameInfluxDB  Xexclude from comparisonTerarkDB  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionDBMS for storing time series, events and metricsA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDBA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelTime Series DBMSKey-value storeTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score21.18
Rank#30  Overall
#1  Time Series DBMS
Score0.07
Rank#303  Overall
#51  Key-value stores
Score2.18
Rank#110  Overall
#6  Time Series DBMS
Websitewww.influxdata.com/­products/­influxdb-overviewgithub.com/­Terark/­terarkdbwww.timescale.com
Technical documentationdocs.influxdata.com/­influxdbgithub.com/­Terark/­terarkdb/­wikidocs.timescale.com
DeveloperTerarkTimescale
Initial release201320162017
Current release1.7.10, February 2020
License infoCommercial or Open SourceOpen Source infoMIT-License; commercial enterprise version availablecommercial inforestricted open source version 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 languageGoC++C
Server operating systemsLinux
OS X infothrough Homebrew
Linux
OS X
Windows
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateNumeric data and Stringsnonumerics, 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.nonoyes
Secondary indexesnonoyes
SQL infoSupport of SQLSQL-like query languagenoyes infofull PostgreSQL SQL syntax
APIs and other access methodsHTTP API
JSON over UDP
C++ API
Java API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languages.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
C++
Java
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnonouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoin enterprise version onlynoneyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infoin enterprise version onlynoneMaster-slave replication with hot standby and reads on slaves info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
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 engineyesno
User concepts infoAccess controlsimple rights management via user accountsnofine grained access rights according to SQL-standard
More information provided by the system vendor
InfluxDBTerarkDBTimescaleDB
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Timescale is the creator of TimescaleDB , the first open-source time-series database...
» more
Competitive advantagesTime to Value An end-to-end platform, InfluxData is ready to go on the cloud or via...
» more
TimescaleDB is purpose-built to scale and handle time-series data workloads and is...
» more
Typical application scenariosIoT & Sensor Monitoring Instrumentation of every available surface in the material...
» more
IoT, Industrial Machine, and Sensor Data Various industrial IoT use cases across...
» more
Key customersInfluxData has over 630 paying customers, including IBM, PayPal, Siemens Tesla and...
» more
Comcast, Cray, Cree, DNSFilter, LAIKA, Nutanix, Sakura Internet, Schneider Electric,...
» more
Market metricsFastest growing database to garnish 17,000 github stars Over 260,000 daily active...
» more
With over 8.5K GitHub stars and growing, 1.8 million+ downloads, and an active Slack...
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
TimescaleDB comes in 3 versions, including a fully managed Cloud-hosted solution,...
» 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
InfluxDBTerarkDBTimescaleDB
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

Global Time Series Databases Software Market by Top Key players: InfluxData, Trendalyze, Amazon Timestream, DataStax, Prometheus, QuasarDB, Warp 10, InfluxDB
3 June 2020, Cole of Duty

Time Series Databases Software Market Opportunity Assessment 2020-2024 Growing with Major Key Player InfluxData, InfluxDB, Kdb+, Actian X, Axibase Time Series Database, and More…
5 May 2020, Surfacing Magazine

Where InfluxDB time series database is going
21 January 2020, TechTarget

InfluxData Brings InfluxDB Cloud 2.0 Serverless Platform to Europe to Support Enterprise Transformation with Time Series Technology
14 November 2019, Business Wire

Design your own Internet of Things with HackSpace magazine
21 May 2020, Blogdottv

provided by Google News

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

ByteDance eyes big data push with Terark acquisition EJINSIGHT
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

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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