DB-EnginesextremeDB - solve IoT connectivity disruptionsEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by Redgate Software

DBMS > Apache Hive vs. Brytlyt vs. ClickHouse

System Properties Comparison Apache Hive vs. Brytlyt vs. ClickHouse

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameApache Hive  Xexclude from comparisonBrytlyt  Xexclude from comparisonClickHouse  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLA 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.
Primary database modelRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score62.49
Rank#18  Overall
#12  Relational DBMS
Score0.25
Rank#291  Overall
#130  Relational DBMS
Score18.71
Rank#30  Overall
#18  Relational DBMS
Websitehive.apache.orgbrytlyt.ioclickhouse.com
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.brytlyt.ioclickhouse.com/­docs
DeveloperApache Software Foundation infoinitially developed by FacebookBrytlytClickhouse Inc.
Initial release201220162016
Current release3.1.3, April 20225.0, August 2023v24.6.2.17-stable, July 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen 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.
Implementation languageJavaC, C++ and CUDAC++
Server operating systemsAll OS with a Java VMLinux
OS X
Windows
FreeBSD
Linux
macOS
Data schemeyesyesyes
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.yes infospecific XML-type available, but no XML query functionality.no
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesClose to ANSI SQL (SQL/JSON + extensions)
APIs and other access methodsJDBC
ODBC
Thrift
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
gRPC
HTTP REST
JDBC
MySQL wire protocol
ODBC
PostgreSQL wire protocol
Proprietary protocol
Supported programming languagesC++
Java
PHP
Python
.Net
C
C++
Delphi
Java
Perl
Python
Tcl
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-reduceuser defined functions infoin PL/pgSQLyes
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingkey based and custom
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationAsynchronous and synchronous physical replication; geographically distributed replicas; support for object storages.
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
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.yes
User concepts infoAccess controlAccess rights for users, groups and rolesfine grained access rights according to SQL-standardAccess 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.

More information provided by the system vendor

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.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Apache HiveBrytlytClickHouse
Recent citations in the news

18 Top Big Data Tools and Technologies to Know About in 2025
22 January 2025, TechTarget

What Is Apache Iceberg?
18 December 2024, ibm.com

Unlock efficient data processing with Iceberg
11 November 2024, SiliconANGLE News

Pinot for Low-Latency Offline Table Analytics
1 August 2024, Uber

Design a data mesh pattern for Amazon EMR-based data lakes using AWS Lake Formation with Hive metastore federation
10 June 2024, AWS Blog

provided by Google News

Opensignal Announces Acquisition of Brytlyt GPU-based Data Analytics & Visualization Technology
5 June 2024, PR Web

Brytlyt Bags $5 Million to Deliver GPU-Powered Data Analytics
23 December 2021, Read IT Quik

Bringing GPUs To Bear On Bog Standard Relational Databases
26 February 2018, The Next Platform

Brytlyt raises £3.8m for ‘1,000x faster analytics’
22 December 2021, BusinessCloud

The insideAI News IMPACT 50 List for Q2 2022
27 April 2022, Inside AI News

provided by Google News

Wiz Research Uncovers Exposed DeepSeek Database Leaking Sensitive Information, Including Chat History
29 January 2025, Wiz

Guess who left a database wide open, exposing chat logs, API keys, and more? Yup, DeepSeek
30 January 2025, The Register

Wiz reveals DeepSeek database exposed API keys, chat history
30 January 2025, TechTarget

Wiz researchers find sensitive DeepSeek data exposed to internet
30 January 2025, CyberScoop

DeepSeek AI Database Exposed: Over 1 Million Log Lines, Secret Keys Leaked
30 January 2025, The Hacker News

provided by Google News



Share this page

Featured Products

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB for free.

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

SingleStore logo

The data platform to build your intelligent applications.
Try it free.

Present your product here