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DBMS > Apache Hive vs. ClickHouse vs. ReductStore

System Properties Comparison Apache Hive vs. ClickHouse vs. ReductStore

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Editorial information provided by DB-Engines
NameApache Hive  Xexclude from comparisonClickHouse  Xexclude from comparisonReductStore  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopA 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.Designed to manage unstructured time-series data efficiently, providing unique features such as storing time-stamped blobs with labels, customizable data retention policies, and a straightforward FIFO quota system.
Primary database modelRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score56.87
Rank#18  Overall
#12  Relational DBMS
Score18.56
Rank#30  Overall
#18  Relational DBMS
Score0.00
Rank#375  Overall
#40  Time Series DBMS
Websitehive.apache.orgclickhouse.comgithub.com/­reductstore
www.reduct.store
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homeclickhouse.com/­docswww.reduct.store/­docs
DeveloperApache Software Foundation infoinitially developed by FacebookClickhouse Inc.ReductStore LLC
Initial release201220162023
Current release3.1.3, April 2022v24.6.2.17-stable, July 20241.9, March 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache 2.0Open Source infoBusiness Source License 1.1
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++, Rust
Server operating systemsAll OS with a Java VMFreeBSD
Linux
macOS
Docker
Linux
macOS
Windows
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
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.no
Secondary indexesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsClose to ANSI SQL (SQL/JSON + extensions)
APIs and other access methodsJDBC
ODBC
Thrift
gRPC
HTTP REST
JDBC
MySQL wire protocol
ODBC
PostgreSQL wire protocol
Proprietary protocol
HTTP API
Supported programming languagesC++
Java
PHP
Python
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
C++
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyes
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardingkey based and custom
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorAsynchronous and synchronous physical replication; geographically distributed replicas; support for object storages.
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlAccess rights for users, groups and rolesAccess 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 HiveClickHouseReductStore
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