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

DBMS > ClickHouse vs. Datastax Enterprise vs. InfluxDB vs. TerarkDB

System Properties Comparison ClickHouse vs. Datastax Enterprise vs. InfluxDB vs. TerarkDB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameClickHouse  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonInfluxDB  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionColumn-oriented Relational DBMS powering YandexDataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.DBMS 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 MongoDB
Primary database modelRelational DBMSWide column storeTime Series DBMSKey-value store
Secondary database modelsDocument store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.38
Rank#81  Overall
#41  Relational DBMS
Score8.82
Rank#43  Overall
#4  Wide column stores
Score20.33
Rank#32  Overall
#1  Time Series DBMS
Score0.04
Rank#319  Overall
#53  Key-value stores
Websiteclickhouse.yandexwww.datastax.com/­products/­datastax-enterprisewww.influxdata.com/­products/­influxdb-overviewgithub.com/­Terark/­terarkdb
Technical documentationclickhouse.yandex/­docsdocs.datastax.comdocs.influxdata.com/­influxdbgithub.com/­Terark/­terarkdb/­wiki
DeveloperYandex LLCDataStaxTerark
Initial release2016201120132016
Current releasev19.13.3.26, August 20196.7, December 20181.7.8, August 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoMIT-License; commercial enterprise version availablecommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoC++
Server operating systemsLinux
OS X
Linux
OS X infothrough Homebrew
Data schemeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesNumeric data and Stringsno
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.nonono
Secondary indexesyesnono
SQL infoSupport of SQLSQL-like DML and DDL statements (CQL); Spark SQLSQL-like query languageno
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
HTTP API
JSON over UDP
C++ API
Java API
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
C++
Java
Server-side scripts infoStored proceduresnonono
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"Sharding infoin enterprise version onlynone
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware, advanced replication for edge computingselectable replication factor infoin enterprise version onlynone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsnono
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.yesyes infoDepending on used storage engineyes
User concepts infoAccess controlAccess rights for users can be defined per objectsimple rights management via user accountsno
More information provided by the system vendor
ClickHouseDatastax EnterpriseInfluxDBTerarkDB
Specific characteristics100% continuous availability, real-time, distributed, massive scale data management...
» more
InfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesSupporting the following application requirements: Contextual: complete data layer...
» more
Time to Value An end-to-end platform, InfluxData is ready to go on the cloud or via...
» more
Typical application scenariosApplications that must serve contextual information and be always-on, distributed,...
» more
IoT & Sensor Monitoring Instrumentation of every available surface in the material...
» more
Key customersCapital One, Cisco, Comcast, eBay, McDonald’s, Microsoft, Safeway, Sony, UBS, and...
» more
InfluxData has over 630 paying customers, including IBM, PayPal, Siemens Tesla and...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Fastest growing database to garnish 17,000 github stars Over 260,000 daily active...
» more
Licensing and pricing modelsAnnual subscription
» more
Open source core with closed source clustering available either on-premise or on...
» 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
ClickHouseDatastax EnterpriseInfluxDBTerarkDB
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

Time Series Databases, the Future of Monitoring and Logging
3 December 2019, Security Boulevard

From Russia with OLAP: Percona uses ClickHouse analytics - Open Source Insider
10 October 2019, ComputerWeekly.com

Cloud Native Computing Foundation Continues Tremendous Growth, Surpassing 500 Members
19 November 2019, Container Journal

Data Monoliths Go Cloud-Native with Kubernetes
31 October 2019, DevOps.com

ClickHouse Experiencing Explosive Growth in EU, US and Asia in Q1 2018
23 April 2018, PR Newswire

provided by Google News

RevTrax Propels Offer Management Platform With DataStax
11 November 2019, Business Wire

DSE Graph review: Graph database does double duty
14 November 2019, InfoWorld

Graphileon to Support DataStax Enterprise Graph
17 June 2019, Business Wire

DataStax Announces DataStax Enterprise 6.7
5 December 2018, Business Wire

US Bank is using DataStax Enterprise to overcome legacy and become customer focused
23 May 2019, Diginomica

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

DevOps Chats: InfluxDB Cloud 2.0 Managed Service for Time Series Data
20 November 2019, DevOps.com

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

InfluxData Adds Major New Customers in 2019 — Underscoring the Extensive Demand and Capabilities of Time Series Technology
27 November 2019, Business Wire

news digest: ONNX at LF AI Foundation, InfluxDB Cloud 2.0, and IBM partners with Stanford Human-Centered AI Institute - SD Times
15 November 2019, SDTimes.com

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
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

Job opportunities

Staff Software Engineer
Conviva, Foster City, CA

Senior Principal CDN Software Engineer, VIPER
Comcast, Denver, CO

Core Systems Reliability Engineer
Cloudflare, Austin, TX

Infrastructure Engineer
AppLovin, Palo Alto, CA

Customer Advocate Test Engineer
DataStax, United States

Data Analytics Consultant
CGI Group, Inc., Alexandria, VA

Jr. Application Developer
CGI Group, Inc., Alexandria, VA

Sr. Technical Business Analyst - Big Data/Service Desk Software
CGI Group, Inc., Alexandria, VA

senior software engineer, Starbucks Technology - Seattle, WA
Starbucks, Seattle, WA

Software Engineering Internship - Metering Operator
Red Hat, Inc., San Francisco, CA

DevOps Platform Developer
Medical Science & Computing, Inc., Bethesda, MD

Infrastructure Engineer
Logikcull, Remote

Research Computing Specialist
Stanford University, Stanford, CA

IoT Platform Development Engineer
Hitachi America, Ltd., Santa Clara, CA

jobs by Indeed




Share this page

Featured Products

Redis logo

Hosted, serverless DBaaS
in 3 steps.

30MB Free!
Start now.

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.

Neo4j logo

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

Couchbase logo

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

Present your product here