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DBMS > ClickHouse vs. Graphite vs. Newts

System Properties Comparison ClickHouse vs. Graphite vs. Newts

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Editorial information provided by DB-Engines
NameClickHouse  Xexclude from comparisonGraphite  Xexclude from comparisonNewts  Xexclude from comparison
DescriptionA high-performance, column-oriented SQL DBMS for online analytical processing (OLAP) that uses all available system resources to their full potential to process each analytical query as fast as possible. It is available as both an open-source software and a cloud offering.Data logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperTime Series DBMS based on Cassandra
Primary database modelRelational DBMSTime Series DBMSTime Series DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score17.44
Rank#31  Overall
#19  Relational DBMS
Score4.81
Rank#63  Overall
#4  Time Series DBMS
Score0.02
Rank#372  Overall
#41  Time Series DBMS
Websiteclickhouse.comgithub.com/­graphite-project/­graphite-webopennms.github.io/­newts
Technical documentationclickhouse.com/­docsgraphite.readthedocs.iogithub.com/­OpenNMS/­newts/­wiki
DeveloperClickhouse Inc.Chris DavisOpenNMS Group
Initial release201620062014
Current releasev24.6.2.17-stable, July 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0Open 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.
  • DoubleCloud: Fully managed ClickHouse alongside best-in-class managed open-source services to build analytics at scale.
  • ClickHouse Cloud: Get the performance you love from open source ClickHouse in a serverless offering that takes care of the details so you can spend more time getting insight out of the fastest database on earth.
Implementation languageC++PythonJava
Server operating systemsFreeBSD
Linux
macOS
Linux
Unix
Linux
OS X
Windows
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesNumeric data onlyyes
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 SQLClose to ANSI SQL (SQL/JSON + extensions)nono
APIs and other access methodsgRPC
HTTP REST
JDBC
MySQL wire protocol
ODBC
PostgreSQL wire protocol
Proprietary protocol
HTTP API
Sockets
HTTP REST
Java API
Supported programming languagesC# info3rd party library
C++
Elixir info3rd party library
Go info3rd party library
Java info3rd party library
JavaScript (Node.js) info3rd party library
Kotlin info3rd party library
Nim info3rd party library
Perl info3rd party library
PHP info3rd party library
Python info3rd party library
R info3rd party library
Ruby info3rd party library
Rust
Scala info3rd party library
JavaScript (Node.js)
Python
Java
Server-side scripts infoStored proceduresyesnono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodeskey based and customnoneSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesAsynchronous and synchronous physical replication; geographically distributed replicas; support for object storages.noneselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono
Concurrency infoSupport for concurrent manipulation of datayesyes infolockingyes
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.yesno
User concepts infoAccess controlAccess rights for users and roles. Column and row based policies. Quotas and resource limits. Pluggable authentication with LDAP and Kerberos. Password based, X.509 certificate, and SSH key authentication.nono

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Related products and services
3rd partiesDoubleCloud: Fully managed ClickHouse alongside best-in-class managed open-source services to build analytics at scale.
» more

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

More resources
ClickHouseGraphiteNewts
DB-Engines blog posts

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

A Beginner’s Guide to ClickHouse Database
13 September 2024, KDnuggets

Real-time database startup ClickHouse acquires PeerDB to expand its Postgres support
30 July 2024, TechCrunch

Database startup ClickHouse Announces PeerDB Acquistion
31 July 2024, Tech Times

Azur Games migrates all game analytics data to ClickHouse Cloud on AWS
16 July 2024, AWS Blog

ClickHouse Acquires PeerDB to Boost Real-time Analytics with Postgres CDC Integration
30 July 2024, Business Wire

provided by Google News

Try out the Graphite monitoring tool for time-series data
29 October 2019, TechTarget

KubeCon24: VictoriaMetrics’ Simpler Alternative to Prometheus
20 March 2024, The New Stack

Getting Started with Monitoring using Graphite
23 January 2015, InfoQ.com

The Billion Data Point Challenge: Building a Query Engine for High Cardinality Time Series Data
10 December 2018, Uber

Real-Time Performance and Health Monitoring Using Netdata
2 September 2019, CNX Software

provided by Google News



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