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

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

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonPostGIS  Xexclude from comparison
DescriptionThe 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 ServerSpatial extension of PostgreSQL
Primary database modelDocument store
Relational DBMS
Relational DBMSSpatial DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score76.33
Rank#17  Overall
#3  Document stores
#11  Relational DBMS
Score78.40
Rank#15  Overall
#10  Relational DBMS
Score23.90
Rank#29  Overall
#1  Spatial DBMS
Websitewww.databricks.comazure.microsoft.com/­en-us/­products/­azure-sql/­databasepostgis.net
Technical documentationdocs.databricks.comdocs.microsoft.com/­en-us/­azure/­azure-sqlpostgis.net/­documentation
DeveloperDatabricksMicrosoft
Initial release201320102005
Current releaseV123.4.2, February 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL v2.0
Cloud-based only infoOnly available as a cloud serviceyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C
Server operating systemshostedhosted
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyes
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.yesyesyes
Secondary indexesyesyesyes
SQL infoSupport of SQLwith Databricks SQLyesyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
Supported programming languagesPython
R
Scala
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions and aggregatesTransact SQLuser defined functions
Triggersyesyes
Partitioning methods infoMethods for storing different data on different nodesyes infobased on PostgreSQL
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes, with always 3 replicas availableyes infobased on PostgreSQL
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-standardyes infobased on PostgreSQL
More information provided by the system vendor
DatabricksMicrosoft Azure SQL Database infoformerly SQL AzurePostGIS
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksMicrosoft Azure SQL Database infoformerly SQL AzurePostGIS
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