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DBMS > Apache Hive vs. ClickHouse vs. Heroic

System Properties Comparison Apache Hive vs. ClickHouse vs. Heroic

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Editorial information provided by DB-Engines
NameApache Hive  Xexclude from comparisonClickHouse  Xexclude from comparisonHeroic  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.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearch
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
Score72.65
Rank#18  Overall
#12  Relational DBMS
Score18.73
Rank#31  Overall
#19  Relational DBMS
Score0.02
Rank#364  Overall
#39  Time Series DBMS
Websitehive.apache.orgclickhouse.comgithub.com/­spotify/­heroic
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homeclickhouse.com/­docsspotify.github.io/­heroic
DeveloperApache Software Foundation infoinitially developed by FacebookClickhouse Inc.Spotify
Initial release201220162014
Current release3.1.3, April 2022v24.6.2.17-stable, July 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2Open 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

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Implementation languageJavaC++Java
Server operating systemsAll OS with a Java VMFreeBSD
Linux
macOS
Data schemeyesyesschema-free
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.nono
Secondary indexesyesyesyes infovia Elasticsearch
SQL infoSupport of SQLSQL-like DML and DDL statementsClose to ANSI SQL (SQL/JSON + extensions)no
APIs and other access methodsJDBC
ODBC
Thrift
gRPC
HTTP REST
JDBC
MySQL wire protocol
ODBC
PostgreSQL wire protocol
Proprietary protocol
HQL (Heroic Query Language, a JSON-based language)
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
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyesno
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingkey based and customSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorAsynchronous and synchronous physical replication; geographically distributed replicas; support for object storages.yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
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.yesno
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 HiveClickHouseHeroic
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