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DBMS > Databricks vs. Microsoft Azure SQL Database vs. Riak KV vs. SWC-DB

System Properties Comparison Databricks vs. Microsoft Azure SQL Database vs. Riak KV vs. SWC-DB

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonRiak KV  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  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 ServerDistributed, fault tolerant key-value storeA high performance, scalable Wide Column DBMS
Primary database modelDocument store
Relational DBMS
Relational DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexesWide column store
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series 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
Score76.78
Rank#16  Overall
#11  Relational DBMS
Score4.01
Rank#79  Overall
#9  Key-value stores
Score0.08
Rank#364  Overall
#13  Wide column stores
Websitewww.databricks.comazure.microsoft.com/­en-us/­products/­azure-sql/­databasegithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationdocs.databricks.comdocs.microsoft.com/­en-us/­azure/­azure-sqlwww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperDatabricksMicrosoftOpenSource, formerly Basho TechnologiesAlex Kashirin
Initial release2013201020092020
Current releaseV123.2.0, December 20220.5, April 2021
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache version 2, commercial enterprise editionOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ErlangC++
Server operating systemshostedhostedLinux
OS X
Linux
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-freeschema-free
Typing infopredefined data types such as float or dateyesno
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.yesyesnono
Secondary indexesyesyesrestricted
SQL infoSupport of SQLwith Databricks SQLyesnoSQL-like query language
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
HTTP API
Native Erlang Interface
Proprietary protocol
Thrift
Supported programming languagesPython
R
Scala
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
C++
Server-side scripts infoStored proceduresuser defined functions and aggregatesTransact SQLErlangno
Triggersyesyes infopre-commit hooks and post-commit hooksno
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes, with always 3 replicas availableselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
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.nono
User concepts infoAccess controlfine grained access rights according to SQL-standardyes, using Riak Security
More information provided by the system vendor
DatabricksMicrosoft Azure SQL Database infoformerly SQL AzureRiak KVSWC-DB infoSuper Wide Column Database
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 AzureRiak KVSWC-DB infoSuper Wide Column Database
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