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DBMS > Databricks vs. MaxDB vs. Microsoft SQL Server vs. Snowflake

System Properties Comparison Databricks vs. MaxDB vs. Microsoft SQL Server vs. Snowflake

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonMaxDB infoformerly named Adabas-D  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonSnowflake  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.A robust and reliable RDBMS optimized to run all major SAP solutionsMicrosofts flagship relational DBMSCloud-based data warehousing service for structured and semi-structured data
Primary database modelDocument store
Relational DBMS
Relational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score2.26
Rank#114  Overall
#55  Relational DBMS
Score821.56
Rank#3  Overall
#3  Relational DBMS
Score130.36
Rank#8  Overall
#5  Relational DBMS
Websitewww.databricks.commaxdb.sap.comwww.microsoft.com/­en-us/­sql-serverwww.snowflake.com
Technical documentationdocs.databricks.commaxdb.sap.com/­documentationlearn.microsoft.com/­en-US/­sql/­sql-serverdocs.snowflake.net/­manuals/­index.html
DeveloperDatabricksSAP, acquired from Software AG (Adabas-D) in 1997MicrosoftSnowflake Computing Inc.
Initial release2013198419892014
Current release7.9.10.12, February 2024SQL Server 2022, November 2022
License infoCommercial or Open Sourcecommercialcommercial infoLimited community edition freecommercial inforestricted free version is availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++
Server operating systemshostedAIX
HP-UX
Linux
Solaris
Windows
Linux
Windows
hosted
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesyes infosupport of semi-structured data formats (JSON, XML, Avro)
Typing infopredefined data types such as float or dateyesyesyes
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.yesnoyesyes
Secondary indexesyesyesyes
SQL infoSupport of SQLwith Databricks SQLyesyesyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
WebDAV
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
CLI Client
JDBC
ODBC
Supported programming languagesPython
R
Scala
.Net
C#
Java
Perl
PHP
Python
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesyesTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javauser defined functions
Triggersyesyesno infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesnonetables can be distributed across several files (horizontal partitioning); sharding through federationyes
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationyes, but depending on the SQL-Server Editionyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardUsers with fine-grained authorization concept, user roles and pluggable authentication
More information provided by the system vendor
DatabricksMaxDB infoformerly named Adabas-DMicrosoft SQL ServerSnowflake
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksMaxDB infoformerly named Adabas-DMicrosoft SQL ServerSnowflake
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