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DBMS > chDB vs. Databricks vs. openGauss

System Properties Comparison chDB vs. Databricks vs. openGauss

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Editorial information provided by DB-Engines
NamechDB  Xexclude from comparisonDatabricks  Xexclude from comparisonopenGauss  Xexclude from comparison
DescriptionAn embedded SQL OLAP Engine powered by ClickHouseThe 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.An enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by Huawei
Primary database modelRelational DBMSDocument store
Relational DBMS
Relational DBMS
Secondary database modelsTime Series DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.05
Rank#358  Overall
#152  Relational DBMS
Score84.24
Rank#14  Overall
#2  Document stores
#9  Relational DBMS
Score1.11
Rank#175  Overall
#79  Relational DBMS
Websitegithub.com/­chdb-io/­chdbwww.databricks.comgitee.com/­opengauss
opengauss.org
Technical documentationdoc.chdb.iodocs.databricks.comdocs.opengauss.org/­en
gitee.com/­opengauss/­docs
DeveloperDatabricksHuawei and openGauss community
Initial release202320132019
Current release3.0, March 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++, Java
Server operating systemsserver-lesshostedLinux
Data schemeFlexible Schema (defined schema, partial schema, schema free)yes
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.yesno
Secondary indexesyesyes
SQL infoSupport of SQLClose to ANSI SQL (SQL/JSON + extensions)with Databricks SQLANSI SQL 2011
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Supported programming languagesBun
C
C++
Go
JavaScript (Node.js)
Python
Rust
Python
R
Scala
C
C++
Java
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes
Triggersyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by range, list and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replication
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 integrityyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
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.nono
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
chDBDatabricksopenGauss
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
chDBDatabricksopenGauss
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