DB-EnginesExtremeDB for everyone with an RTOSEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Apache Doris vs. ClickHouse vs. Databricks

System Properties Comparison Apache Doris vs. ClickHouse vs. Databricks

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonClickHouse  Xexclude from comparisonDatabricks  Xexclude from comparison
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolA 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.The Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.
Primary database modelRelational DBMSRelational DBMSDocument store
Relational DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.60
Rank#247  Overall
#113  Relational DBMS
Score15.55
Rank#38  Overall
#23  Relational DBMS
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Websitedoris.apache.org
github.com/­apache/­doris
clickhouse.comwww.databricks.com
Technical documentationgithub.com/­apache/­doris/­wikiclickhouse.com/­docsdocs.databricks.com
DeveloperApache Software Foundation, originally contributed from BaiduClickhouse Inc.Databricks
Initial release201720162013
Current release1.2.2, February 2023v24.4.2.141-stable, June 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
  • Aiven for Clickhouse: Managed cloud data warehousing with high-speed analytics.
  • DoubleCloud: Fully managed ClickHouse alongside best-in-class managed open-source services to build analytics at scale.
  • 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 languageJavaC++
Server operating systemsLinuxFreeBSD
Linux
macOS
hosted
Data schemeyesyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyes
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.nonoyes
Secondary indexesyesyesyes
SQL infoSupport of SQLyesClose to ANSI SQL (SQL/JSON + extensions)with Databricks SQL
APIs and other access methodsJDBC
MySQL client
gRPC
HTTP REST
JDBC
MySQL wire protocol
ODBC
PostgreSQL wire protocol
Proprietary protocol
JDBC
ODBC
RESTful HTTP API
Supported programming languagesJavaC# 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
Python
R
Scala
Server-side scripts infoStored proceduresuser defined functionsyesuser defined functions and aggregates
Triggersnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningkey based and custom
Replication methods infoMethods for redundantly storing data on multiple nodesnoneAsynchronous and synchronous physical replication; geographically distributed replicas; support for object storages.yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
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.noyesno
User concepts infoAccess controlfine 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
Apache DorisClickHouseDatabricks
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
» more

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
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

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

More resources
Apache DorisClickHouseDatabricks
DB-Engines blog posts

PostgreSQL is the DBMS of the Year 2023
2 January 2024, Matthias Gelbmann, Paul Andlinger

show all

Recent citations in the news

Apache Doris for Log and Time Series Data Analysis in NetEase: Why Not Elasticsearch and InfluxDB?
5 June 2024, hackernoon.com

Workload Isolation in Apache Doris: Optimizing Resource Management and Performance
25 May 2024, hackernoon.com

How to Digest 15 Billion Logs Per Day and Keep Big Queries Within 1 Second
1 September 2023, KDnuggets

Apache Doris just 'graduated': Why care about this SQL data warehouse
24 June 2022, InfoWorld

Using Arrow Flight SQL Protocol in Apache Doris 2.1 For Super Fast Data Transfer
8 May 2024, hackernoon.com

provided by Google News

ClickHouse Cloud & Amazon S3 Express One Zone: Making a blazing fast analytical database even faster | Amazon ...
28 November 2023, AWS Blog

Why Clickhouse Should Be Your Next Database
6 July 2023, The New Stack

Intel Xeon 6766E/6780E Sierra Forest vs. Ampere Altra Performance & Power Efficiency Review
5 June 2024, Phoronix

A 1000x Faster Database Solution: ClickHouse’s Aaron Katz
1 November 2023, GrowthCap

From Open Source to SaaS: the Journey of ClickHouse
16 January 2024, InfoQ.com

provided by Google News

Databricks Data+AI Summit 2024: The Standout Vendors
13 June 2024, CRN

Databricks tells investors annualized revenue will reach $2.4 billion at midway point of year
13 June 2024, CNBC

Databricks Launches AI Graphics Competitor to Salesforce, Microsoft
12 June 2024, Yahoo Finance

KPMG Collaborates with Databricks for Audit AI
12 June 2024, CPAPracticeAdvisor.com

Databricks to Open Source Unity Catalog
12 June 2024, Datanami

provided by Google News



Share this page

Featured Products

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

Milvus logo

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

Neo4j logo

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

Present your product here