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DBMS > Apache Drill vs. ClickHouse vs. GeoMesa

System Properties Comparison Apache Drill vs. ClickHouse vs. GeoMesa

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Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonClickHouse  Xexclude from comparisonGeoMesa  Xexclude from comparison
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageA 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.GeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.
Primary database modelDocument store
Relational DBMS
Relational DBMSSpatial DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.28
Rank#119  Overall
#23  Document stores
#56  Relational DBMS
Score16.20
Rank#37  Overall
#23  Relational DBMS
Score0.81
Rank#214  Overall
#4  Spatial DBMS
Websitedrill.apache.orgclickhouse.comwww.geomesa.org
Technical documentationdrill.apache.org/­docsclickhouse.com/­docswww.geomesa.org/­documentation/­stable/­user/­index.html
DeveloperApache Software FoundationClickhouse Inc.CCRi and others
Initial release201220162014
Current release1.20.3, January 2023v23.12.1.1368-stable, December 20234.0.5, February 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache 2.0Open Source infoApache License 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.
  • DoubleCloud: Fully managed ClickHouse alongside best-in-class managed open-source services to build analytics at scale.
  • Aiven for Clickhouse: Managed cloud data warehousing with high-speed analytics.
  • ClickHouse Cloud: Get the performance you love from open source ClickHouse in a serverless offering that takes care of the details so you can spend more time getting insight out of the fastest database on earth.
Implementation languageC++Scala
Server operating systemsLinux
OS X
Windows
FreeBSD
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.nonono
Secondary indexesnoyesyes
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantClose to ANSI SQL (SQL/JSON + extensions)no
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
gRPC
HTTP REST
JDBC
MySQL wire protocol
ODBC
PostgreSQL wire protocol
Proprietary protocol
Supported programming languagesC++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 functionsyesno
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingkey based and customdepending on storage layer
Replication methods infoMethods for redundantly storing data on multiple nodesAsynchronous and synchronous physical replication; geographically distributed replicas; support for object storages.depending on storage layer
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistencydepending on storage layer
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 persistentDepending on the underlying data sourceyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourceyesdepending on storage layer
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.yes infodepending on the DBMS used for storage

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Related products and services
3rd partiesAiven for Clickhouse: Managed cloud data warehousing with high-speed analytics.
» more

DoubleCloud: Fully managed ClickHouse alongside best-in-class managed open-source services to build analytics at scale.
» more

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More resources
Apache DrillClickHouseGeoMesa
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