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DBMS > Citus vs. Databricks vs. Microsoft SQL Server vs. PouchDB

System Properties Comparison Citus vs. Databricks vs. Microsoft SQL Server vs. PouchDB

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Editorial information provided by DB-Engines
NameCitus  Xexclude from comparisonDatabricks  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonPouchDB  Xexclude from comparison
DescriptionScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLThe 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 DBMSJavaScript DBMS with an API inspired by CouchDB
Primary database modelRelational DBMSDocument store
Relational DBMS
Relational DBMSDocument store
Secondary database modelsDocument storeDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.21
Rank#118  Overall
#56  Relational DBMS
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score824.29
Rank#3  Overall
#3  Relational DBMS
Score2.28
Rank#115  Overall
#21  Document stores
Websitewww.citusdata.comwww.databricks.comwww.microsoft.com/­en-us/­sql-serverpouchdb.com
Technical documentationdocs.citusdata.comdocs.databricks.comlearn.microsoft.com/­en-US/­sql/­sql-serverpouchdb.com/­guides
DeveloperDatabricksMicrosoftApache Software Foundation
Initial release2010201319892012
Current release8.1, December 2018SQL Server 2022, November 20227.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoAGPL, commercial license also availablecommercialcommercial inforestricted free version is availableOpen Source
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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SQLServer Flex @ STACKIT offers a managed version of SQL Server with adjustable CPU, RAM, storage amount and speed, in enterprise grade to perfectly match all application requirements. All services are 100% GDPR-compliant.
Implementation languageCC++JavaScript
Server operating systemsLinuxhostedLinux
Windows
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)yesschema-free
Typing infopredefined data types such as float or dateyesyesno
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.yes infospecific XML type available, but no XML query functionalityyesyesno
Secondary indexesyesyesyesyes infovia views
SQL infoSupport of SQLyes infostandard, with numerous extensionswith Databricks SQLyesno
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Python
R
Scala
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
JavaScript
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.user defined functions and aggregatesTransact SQL, .NET languages, R, Python and (with SQL Server 2019) JavaView functions in JavaScript
Triggersyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingtables can be distributed across several files (horizontal partitioning); sharding through federationSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication infoother methods possible by using 3rd party extensionsyesyes, but depending on the SQL-Server EditionMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backend
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardno
More information provided by the system vendor
CitusDatabricksMicrosoft SQL ServerPouchDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
CitusDatabricksMicrosoft SQL ServerPouchDB
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