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DBMS > Apache Druid vs. ClickHouse vs. Elasticsearch

System Properties Comparison Apache Druid vs. ClickHouse vs. Elasticsearch

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonClickHouse  Xexclude from comparisonElasticsearch  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataA 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.A distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metric
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSSearch engine
Vector DBMS
Secondary database modelsTime Series DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.05
Rank#84  Overall
#45  Relational DBMS
#7  Time Series DBMS
Score18.73
Rank#31  Overall
#19  Relational DBMS
Score128.08
Rank#8  Overall
#1  Search engines
#1  Vector DBMS
Websitedruid.apache.orgclickhouse.comwww.elastic.co/­elasticsearch
Technical documentationdruid.apache.org/­docs/­latest/­designclickhouse.com/­docswww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.html
DeveloperApache Software Foundation and contributorsClickhouse Inc.Elastic
Initial release201220162010
Current release30.0.0, June 2024v24.6.2.17-stable, July 20248.6, January 2023
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache 2.0Open Source infoElastic License
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++Java
Server operating systemsLinux
OS X
Unix
FreeBSD
Linux
macOS
All OS with a Java VM
Data schemeyes infoschema-less columns are supportedyesschema-free infoFlexible type definitions. Once a type is defined, it is persistent
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 indexesyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLSQL for queryingClose to ANSI SQL (SQL/JSON + extensions)SQL-like query language
APIs and other access methodsJDBC
RESTful HTTP/JSON API
gRPC
HTTP REST
JDBC
MySQL wire protocol
ODBC
PostgreSQL wire protocol
Proprietary protocol
Java API
RESTful HTTP/JSON API
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
Rust
Scala info3rd party library
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyesyes
Triggersnonoyes infoby using the 'percolation' feature
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedkey based and customSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesAsynchronous and synchronous physical replication; geographically distributed replicas; support for object storages.yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoES-Hadoop Connector
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, all
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono
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.noyesMemcached and Redis integration
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess 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.

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More resources
Apache DruidClickHouseElasticsearch
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