DB-EnginesInfluxDB download bannerEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Citus vs. InfluxDB vs. TimescaleDB

System Properties Comparison Citus vs. InfluxDB vs. TimescaleDB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonInfluxDB  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLDBMS for storing time series, events and metricsA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelRelational DBMSTime Series DBMSTime Series DBMS
Secondary database modelsDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.96
Rank#156  Overall
#74  Relational DBMS
Score19.93
Rank#33  Overall
#1  Time Series DBMS
Score1.73
Rank#122  Overall
#8  Time Series DBMS
Websitewww.citusdata.comwww.influxdata.com/­products/­influxdb-overviewwww.timescale.com
Technical documentationdocs.citusdata.comdocs.influxdata.com/­influxdbdocs.timescale.com
DeveloperTimescale
Initial release201020132017
Current release8.1, December 20181.7.8, August 2019
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availableOpen Source infoMIT-License; commercial enterprise version availableOpen Source infoApache 2.0
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 languageCGoC
Server operating systemsLinuxLinux
OS X infothrough Homebrew
Linux
OS X
Windows
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesNumeric data and Stringsnumerics, 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.yes infospecific XML type available, but no XML query functionalitynoyes
Secondary indexesyesnoyes
SQL infoSupport of SQLyes infostandard, with numerous extensionsSQL-like query languageyes infofull PostgreSQL SQL syntax
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP API
JSON over UDP
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.nouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoin enterprise version onlyyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replication infoother methods possible by using 3rd party extensionsselectable replication factor infoin enterprise version onlyMaster-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 ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
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.noyes infoDepending on used storage engineno
User concepts infoAccess controlfine grained access rights according to SQL-standardsimple rights management via user accountsfine grained access rights according to SQL-standard
More information provided by the system vendor
CitusInfluxDBTimescaleDB
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
TimescaleDB is the first open-source time-series database that combines the reliability,...
» 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
Altair Engineering Inc., Bloomberg, Comcast, Cray, Cree, DNSFilter, Laika, LaunchDarkly,...
» more
Market metricsFastest growing database to garnish 17,000 github stars Over 260,000 daily active...
» more
1 million+ downloads, 6,500+ Github stars
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
Apache 2 and Timescale License (TSL); information on pricing for support and enterprise...
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
CitusInfluxDBTimescaleDB
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

show all

Recent citations in the news

Global Database Software Market Outlook to 2030 - Market Projected to Reach $99.36 Billion by 2022 - ResearchAndMarkets.com
12 November 2019, Business Wire

Microsoft debuts Azure Synapse Analytics, updates database offerings
4 November 2019, VentureBeat

Microsoft acquires Citus Data for its open source PostgreSQL tool
24 January 2019, VentureBeat

Microsoft Expands Azure PostgreSQL Moxy Through Citus Data Purchase
30 January 2019, Data Center Knowledge

Microsoft Acquires Citus Data to Dive Deeper into Postgres
30 January 2019, eWeek

provided by Google News

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

Creating Your Personal IoT/Utility Dashboard Using Grafana, Influxdb & Telegraf on a Raspberry Pi
12 November 2019, IoT For All

InfluxData Launches Enterprise-Class Time Series Solution as a Cloud Service
30 October 2019, Integration Developers

A guide to APM solutions
4 November 2019, SDTimes.com

How these companies can help you monitor your applications
4 November 2019, SDTimes.com

provided by Google News

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

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

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

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

provided by Google News

Job opportunities

Senior Analyst - IT PostgreSQL Database Admin / Engineer
Marsh & McLennan Companies, Inc., Hoboken, NJ

Site Reliability Engineer, Tesla Energy
Tesla, Palo Alto, CA

DevOps Inventory Engineer Analyst
Medical Science & Computing, Inc., Bethesda, MD

Infrastructure Engineer
Logikcull, Remote

NOC Technician
Bird Rides Inc., Santa Monica, CA

DevOps Engineer Intern, Monitoring & Automation
Blizzard Entertainment, Irvine, CA

Engineering Intern
ST Engineering iDirect, Herndon, VA

Systems Reliability Engineer
PacketFabric, Culver City, CA

Principal Engineer - Data Pipeline
Tagup Inc., Somerville, MA

Sr Software Engineer – Cloud Infrastructure Predictive Analytics
PCI, Fort Meade, MD

Principal Engineer - Private Cloud
Comcast, Philadelphia, PA

jobs by Indeed




Share this page

Featured Products

Redis logo

Hosted, serverless DBaaS
in 3 steps.

30MB Free!
Start now.

Couchbase logo

SQL + JSON + NoSQL.
Power, flexibility & scale.
All open source.
Get started now.

Neo4j logo

Get your free copy of the new O'Reilly book Graph Algorithms with 20+ examples for
machine learning, graph analytics and more.

AllegroGraph logo

Graph Database Leader for AI Knowledge Graph Applications - The Most Secure Graph Database Available.
Free Download


Datastax logo

Build data-driven applications that set the standard for performance, availability,
& scale with DataStax.
Learn more.

Present your product here