DB-EnginesextremeDB - Data management wherever you need itEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by Redgate Software

DBMS > Apache Drill vs. Apache Pinot vs. ClickHouse

System Properties Comparison Apache Drill vs. Apache Pinot vs. ClickHouse

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonApache Pinot  Xexclude from comparisonClickHouse  Xexclude from comparison
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyA 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 modelDocument store
Relational DBMS
Relational DBMSRelational DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.74
Rank#128  Overall
#24  Document stores
#60  Relational DBMS
Score0.37
Rank#263  Overall
#121  Relational DBMS
Score18.71
Rank#30  Overall
#18  Relational DBMS
Websitedrill.apache.orgpinot.apache.orgclickhouse.com
Technical documentationdrill.apache.org/­docsdocs.pinot.apache.orgclickhouse.com/­docs
DeveloperApache Software FoundationApache Software Foundation and contributorsClickhouse Inc.
Initial release201220152016
Current release1.20.3, January 20231.0.0, September 2023v24.6.2.17-stable, July 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2.0Open 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++
Server operating systemsLinux
OS X
Windows
All OS with a Java JDK11 or higherFreeBSD
Linux
macOS
Data schemeschema-freeyesyes
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 indexesnoyes
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantSQL-like query languageClose to ANSI SQL (SQL/JSON + extensions)
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBCgRPC
HTTP REST
JDBC
MySQL wire protocol
ODBC
PostgreSQL wire protocol
Proprietary protocol
Supported programming languagesC++Go
Java
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 proceduresuser defined functionsyes
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningkey based and custom
Replication methods infoMethods for redundantly storing data on multiple nodesAsynchronous and synchronous physical replication; geographically distributed replicas; support for object storages.
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate 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 persistentDepending on the underlying data sourceyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourceyes
User concepts infoAccess controlDepending on the underlying data sourceAccess 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 DrillApache PinotClickHouse
Recent citations in the news

Apache Drill case study: A tutorial on processing CSV files
9 June 2016, TheServerSide.com

Update Apache Drill Eliminates ETL, Data Transformation for MapR Database
30 March 2022, InApps Technology

Drill Mines Diverse Data Sets, Google Style
20 May 2015, The Next Platform

10 ways to query Hadoop with SQL
16 September 2014, InfoWorld

Interacting with MapR-DB
11 December 2018, hackernoon.com

provided by Google News

Build a real-time analytics solution with Apache Pinot on AWS
6 August 2024, AWS Blog

Apache Pinot Brings Real Time Analysis to Columnar Data
13 December 2024, The New Stack

Serving Millions of Apache Pinotâ„¢ Queries with Neutrino
11 December 2024, Uber

StarTree eyes observability market with Apache Pinot-based real-time engine
27 September 2024, SiliconANGLE News

Open source Apache Pinot advances as StarTree boosts real-time analytics and observability
8 May 2024, VentureBeat

provided by Google News

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

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

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

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

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

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.

SingleStore logo

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

Present your product here