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DBMS > Apache Druid vs. ClickHouse vs. TiDB

System Properties Comparison Apache Druid vs. ClickHouse vs. TiDB

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonClickHouse  Xexclude from comparisonTiDB  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataColumn-oriented Relational DBMS powering YandexTiDB is an open source distributed Hybrid Transactional/Analytical Processing (HTAP) database that supports MySQL and Spark SQL syntaxes.
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSRelational DBMS
Secondary database modelsTime Series DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.63
Rank#101  Overall
#50  Relational DBMS
#7  Time Series DBMS
Score8.26
Rank#50  Overall
#30  Relational DBMS
Score1.91
Rank#118  Overall
#58  Relational DBMS
Websitedruid.apache.orgclickhouse.techpingcap.com
Technical documentationdruid.apache.org/­docs/­latest/­designclickhouse.tech/­docsdocs.pingcap.com/­tidb/­stable
DeveloperApache Software Foundation and contributorsYandex LLCPingCAP, Inc.
Initial release201220162016
Current release0.20.2, March 2021v20.11.3.3-stable, November 20204.0.11 , February 2021
License infoCommercial or Open SourceOpen Source infoApache license v2Open 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.
TiDB Cloud: Fully-managed TiDB Service. Bring everything great about TiDB to the cloud.
Implementation languageJavaC++Go, Rust
Server operating systemsLinux
OS X
Unix
FreeBSD
Linux
macOS
Linux
Data schemeyes infoschema-less columns are supportedyesyes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyesnoyes
SQL infoSupport of SQLSQL for queryingClose to ANSI SQLyes
APIs and other access methodsJDBC
RESTful HTTP/JSON API
HTTP REST
JDBC
ODBC
Proprietary protocol
JDBC
ODBC
Proprietary protocol
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C# 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
Scala info3rd party library
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnonono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedhorizontal partitioning (by key range)
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infowith TiSpark Connector
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono infocurrently only supported in syntax
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.noyesno
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess rights for users and rolesUsers with fine-grained authorization concept. No user groups or roles.
More information provided by the system vendor
Apache DruidClickHouseTiDB
Specific characteristicsTiDB is an open-source NewSQL database built by PingCAP. TiDB supports Hybrid Transactional...
» more
Competitive advantagesIn the current database landscape, infrastructure engineers often have to use one...
» more
Typical application scenariosTiDB is designed to support both OLTP and OLAP scenarios. You can use TiDB , the...
» more
Key customersShopee (E-commerce) BookMyShow.com (E-commerce) Yiguo.com (E-commerce) JD Cloud &...
» more
Market metrics25K+ GitHub Stars for TiDB, and 8K+ GitHub Stars for TiKV 1.6K+ members in TiDB Community...
» more
Licensing and pricing modelsOpen Source Apache 2.0 with either commercial licensing or fully-hosted DB-as-a-service...
» more
News

Using a GPU Boosts TiDB Analytics Performance by 10 to 150 Times
19 April 2021

Empower Your Business with Big Data + Real-time Analytics in TiDB
15 April 2021

TiDB 5.0 GA: A One-Stop HTAP Solution Delivering Speed, Stability, and Simplicity
12 April 2021

How I Enabled TiKV Coprocessor to Support ENUM and SET Calculations
9 April 2021

Using TiDB in Mission Critical Scenarios of the Financial Industry (Part I)
30 March 2021

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.

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More resources
Apache DruidClickHouseTiDB
Recent citations in the news

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ClickHouse Experiencing Explosive Growth in EU, US and Asia in Q1 2018
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PingCAP, the open-source developer behind TiDB, closes $270 million Series D
17 November 2020, TechCrunch

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PingCAP launches TiDB Cloud, a fully-managed database as a service offering
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