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DBMS > Apache Drill vs. Apache Phoenix vs. ClickHouse vs. Yanza

System Properties Comparison Apache Drill vs. Apache Phoenix vs. ClickHouse vs. Yanza

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Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonApache Phoenix  Xexclude from comparisonClickHouse  Xexclude from comparisonYanza  Xexclude from comparison
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageA scale-out RDBMS with evolutionary schema built on Apache HBaseColumn-oriented Relational DBMS powering YandexTime Series DBMS for IoT Applications
Primary database modelDocument store
Relational DBMS
Relational DBMSRelational DBMSTime Series DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.89
Rank#106  Overall
#20  Document stores
#55  Relational DBMS
Score3.01
Rank#103  Overall
#52  Relational DBMS
Score12.32
Rank#46  Overall
#30  Relational DBMS
Score0.00
Rank#354  Overall
#33  Time Series DBMS
Websitedrill.apache.orgphoenix.apache.orgclickhouse.techyanza.com
Technical documentationdrill.apache.org/­docsphoenix.apache.orgclickhouse.tech/­docs
DeveloperApache Software FoundationApache Software FoundationClickhouse Inc.Yanza
Initial release2012201420162015
Current release1.19.0, June 20215.0-HBase2, July 2018 and 4.15-HBase1, December 2019v22.4.5.9-stable, May 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2.0Open Source infoApache 2.0commercial infofree version available
Cloud-based only infoOnly available as a cloud servicenononono infobut mainly used as a service provided by Yanza
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
Linux
Unix
Windows
FreeBSD
Linux
macOS
Windows
Data schemeschema-freeyes infolate-bound, schema-on-read capabilitiesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.nononono
Secondary indexesnoyesnono
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantyesClose to ANSI SQLno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBCHTTP REST
JDBC
ODBC
Proprietary protocol
HTTP API
Supported programming languagesC++C
C#
C++
Go
Groovy
Java
PHP
Python
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
any language that supports HTTP calls
Server-side scripts infoStored proceduresuser defined functionsuser defined functionsnono
Triggersnononoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesHadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentDepending on the underlying data sourceyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourceyesyes
User concepts infoAccess controlDepending on the underlying data sourceAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyAccess rights for users and rolesno

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More resources
Apache DrillApache PhoenixClickHouseYanza
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Recent citations in the news

Apache Drill Adds New Data Formats
28 March 2022, iProgrammer

Apache Drill improves big data SQL query engine
31 August 2021, TechTarget

Apache Drill Poised to Crack Tough Data Challenges
19 May 2015, Datanami

Amazon's PartiQL query language eyes all data sources
6 August 2019, TechTarget

What is Apache Hadoop? Understanding Hadoop Ecosystem & Architecture | ITBE
9 September 2021, IT Business Edge

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Apache Drill Adds New Data Formats
28 March 2022, iProgrammer

Apache Phoenix Now HBase 2.0 Compatible
20 July 2018, iProgrammer

Spirion Enhances Depth and Breadth of Privacy-Grade Discovery, Classification and Remediation for Sensitive Data
12 April 2022, PR Newswire

Developing Python Applications Against Apache Phoenix (HBase)
30 September 2016, dzone.com

HPE gobbles up Ampool to add SQL grunt to Ezmeral
9 July 2021, The Register

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Real-time database startup Imply reaches unicorn status with $100M infusion
17 May 2022, TechCrunch

Two Sizes Fit Most: PostgreSQL and ClickHouse – The New Stack
13 April 2022, thenewstack.io

ClickHouse Raises $250M Series B To Scale Groundbreaking OLAP Database Management System Globally
28 October 2021, Business Wire

Speedy Column-Store ClickHouse Spins Out from Yandex, Raises $50M
24 September 2021, Datanami

Multiple Flaws Uncovered in ClickHouse OLAP Database System for Big Data
16 March 2022, The Hacker News

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