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DBMS > chDB vs. Databend vs. Databricks

System Properties Comparison chDB vs. Databend vs. Databricks

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Editorial information provided by DB-Engines
NamechDB  Xexclude from comparisonDatabend  Xexclude from comparisonDatabricks  Xexclude from comparison
DescriptionAn embedded SQL OLAP Engine powered by ClickHouseAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityThe 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
Score0.05
Rank#358  Overall
#152  Relational DBMS
Score0.28
Rank#287  Overall
#131  Relational DBMS
Score84.24
Rank#14  Overall
#2  Document stores
#9  Relational DBMS
Websitegithub.com/­chdb-io/­chdbgithub.com/­datafuselabs/­databend
www.databend.com
www.databricks.com
Technical documentationdoc.chdb.iodocs.databend.comdocs.databricks.com
DeveloperDatabend LabsDatabricks
Initial release202320212013
Current release1.0.59, April 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 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.
Implementation languageRust
Server operating systemsserver-lesshosted
Linux
macOS
hosted
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyes
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.noyes
Secondary indexesnoyes
SQL infoSupport of SQLClose to ANSI SQL (SQL/JSON + extensions)yeswith Databricks SQL
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
Supported programming languagesBun
C
C++
Go
JavaScript (Node.js)
Python
Rust
Go
Java
JavaScript (Node.js)
Python
Rust
Python
R
Scala
Server-side scripts infoStored proceduresnouser defined functions and aggregates
Triggersno
Partitioning methods infoMethods for storing different data on different nodesnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles
More information provided by the system vendor
chDBDatabendDatabricks
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
chDBDatabendDatabricks
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