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DBMS > Cubrid vs. Databricks vs. Microsoft Azure SQL Database

System Properties Comparison Cubrid vs. Databricks vs. Microsoft Azure SQL Database

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Editorial information provided by DB-Engines
NameCubrid  Xexclude from comparisonDatabricks  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparison
DescriptionCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPThe 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.Database as a Service offering with high compatibility to Microsoft SQL Server
Primary database modelRelational DBMSDocument store
Relational DBMS
Relational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#169  Overall
#78  Relational DBMS
Score76.33
Rank#17  Overall
#3  Document stores
#11  Relational DBMS
Score78.40
Rank#15  Overall
#10  Relational DBMS
Websitecubrid.com (korean)
cubrid.org (english)
www.databricks.comazure.microsoft.com/­en-us/­products/­azure-sql/­database
Technical documentationcubrid.org/­manualsdocs.databricks.comdocs.microsoft.com/­en-us/­azure/­azure-sql
DeveloperCUBRID Corporation, CUBRID FoundationDatabricksMicrosoft
Initial release200820132010
Current release11.0, January 2021V12
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++, JavaC++
Server operating systemsLinux
Windows
hostedhosted
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)yes
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.noyesyes
Secondary indexesyesyesyes
SQL infoSupport of SQLyeswith Databricks SQLyes
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
Supported programming languagesC
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Python
R
Scala
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresJava Stored Proceduresuser defined functions and aggregatesTransact SQL
Triggersyesyes
Partitioning methods infoMethods for storing different data on different nodesnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesyes, with always 3 replicas available
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 integrityyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
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.nono
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
CubridDatabricksMicrosoft Azure SQL Database infoformerly SQL Azure
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
CubridDatabricksMicrosoft Azure SQL Database infoformerly SQL Azure
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