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DBMS > Databricks vs. Microsoft SQL Server vs. PostGIS

System Properties Comparison Databricks vs. Microsoft SQL Server vs. PostGIS

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonMicrosoft SQL Server  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.Microsofts flagship relational DBMSSpatial 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
Score60.86
Rank#19  Overall
#3  Document stores
#13  Relational DBMS
Score922.01
Rank#3  Overall
#3  Relational DBMS
Score30.22
Rank#28  Overall
#1  Spatial DBMS
Websitedatabricks.comwww.microsoft.com/­en-us/­sql-serverpostgis.net
Technical documentationdatabricks.com/­documentationdocs.microsoft.com/­en-US/­sql/­sql-serverpostgis.net/­documentation
DeveloperDatabricksMicrosoft
Initial release201319892005
Current releaseSQL Server 2022, November 20223.3.2, November 2022
License infoCommercial or Open SourceOpen Sourcecommercial inforestricted free version is availableOpen Source infoGPL v2.0
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C
Server operating systemshostedLinux
Windows
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
OLE DB
Tabular Data Stream (TDS)
Supported programming languagesPython
R
Scala
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Server-side scripts infoStored proceduresuser defined functions and aggregatesTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javauser defined functions
Triggersyesyes
Partitioning methods infoMethods for storing different data on different nodestables can be distributed across several files (horizontal partitioning); sharding through federationyes infobased on PostgreSQL
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes, but depending on the SQL-Server Editionyes 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.noyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardyes infobased on PostgreSQL

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More resources
DatabricksMicrosoft SQL ServerPostGIS
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