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DBMS > Apache Druid vs. ClickHouse vs. HEAVY.AI vs. STSdb

System Properties Comparison Apache Druid vs. ClickHouse vs. HEAVY.AI vs. STSdb

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonClickHouse  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonSTSdb  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 YandexA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSRelational DBMSKey-value store
Secondary database modelsTime Series DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.54
Rank#116  Overall
#58  Relational DBMS
#6  Time Series DBMS
Score13.87
Rank#44  Overall
#28  Relational DBMS
Score2.00
Rank#136  Overall
#67  Relational DBMS
Score0.15
Rank#333  Overall
#47  Key-value stores
Websitedruid.apache.orgclickhouse.techgithub.com/­heavyai/­heavydb
www.heavy.ai
github.com/­STSSoft/­STSdb4
Technical documentationdruid.apache.org/­docs/­latest/­designclickhouse.tech/­docsdocs.heavy.ai
DeveloperApache Software Foundation and contributorsClickhouse Inc.HEAVY.AI, Inc.STS Soft SC
Initial release2012201620162011
Current release24.0.0, September 2022v22.8.5.29-lts, September 20225.10, January 20224.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache 2.0Open Source infoApache Version 2; enterprise edition availableOpen Source infoGPLv2, commercial license 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 languageJavaC++C++ and CUDAC#
Server operating systemsLinux
OS X
Unix
FreeBSD
Linux
macOS
LinuxWindows
Data schemeyes infoschema-less columns are supportedyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes infoprimitive types and user defined types (classes)
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 indexesyesyes, when using the MergeTree enginenono
SQL infoSupport of SQLSQL for queryingClose to ANSI SQLyesno
APIs and other access methodsJDBC
RESTful HTTP/JSON API
HTTP REST
JDBC
ODBC
Proprietary protocol
JDBC
ODBC
Thrift
Vega
.NET Client 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
Scala info3rd party library
All languages supporting JDBC/ODBC/Thrift
Python
C#
Java
Server-side scripts infoStored proceduresnononono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedSharding infoRound robinnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess rights for users and rolesfine grained access rights according to SQL-standardno
More information provided by the system vendor
Apache DruidClickHouseHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022STSdb
Specific characteristicsOptimizes memory and compute layers to deliver unprecedented performance. Natively...
» more
Competitive advantagesOnly HEAVY.AI allows users to visually and interactively discover high-value patterns,...
» more
Typical application scenariosAdvanced analytics, geospatial and time-series analytics, accelerated data science,...
» more
Licensing and pricing modelsHEAVY.AI Free (Free Forever), Foundations ($2k/month), and Enterprise Licensure (Inquire...
» more

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More resources
Apache DruidClickHouseHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022STSdb
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