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DBMS > Atos Standard Common Repository vs. Databricks vs. Microsoft Azure Synapse Analytics vs. SWC-DB vs. Valentina Server

System Properties Comparison Atos Standard Common Repository vs. Databricks vs. Microsoft Azure Synapse Analytics vs. SWC-DB vs. Valentina Server

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonDatabricks  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparisonValentina Server  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksThe 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.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerA high performance, scalable Wide Column DBMSObject-relational database and reports server
Primary database modelDocument store
Key-value store
Document store
Relational DBMS
Relational DBMSWide column storeRelational DBMS
Secondary database modelsTime 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
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score0.08
Rank#364  Overall
#13  Wide column stores
Score0.21
Rank#325  Overall
#144  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.databricks.comazure.microsoft.com/­services/­synapse-analyticsgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
www.valentina-db.net
Technical documentationdocs.databricks.comdocs.microsoft.com/­azure/­synapse-analyticsvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperAtos Convergence CreatorsDatabricksMicrosoftAlex KashirinParadigma Software
Initial release20162013201620201999
Current release17030.5, April 20215.7.5
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoGPL V3commercial
Cloud-based only infoOnly available as a cloud servicenoyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++
Server operating systemsLinuxhostedhostedLinuxLinux
OS X
Windows
Data schemeSchema and schema-less with LDAP viewsFlexible Schema (defined schema, partial schema, schema free)yesschema-freeyes
Typing infopredefined data types such as float or dateoptionalyesyes
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 indexesyesyesyesyes
SQL infoSupport of SQLnowith Databricks SQLyesSQL-like query languageyes
APIs and other access methodsLDAPJDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
Proprietary protocol
Thrift
ODBC
Supported programming languagesAll languages with LDAP bindingsPython
R
Scala
C#
Java
PHP
C++.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresnouser defined functions and aggregatesTransact SQLnoyes
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionSharding, horizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes
User concepts infoAccess controlLDAP bind authenticationyesfine grained access rights according to SQL-standard
More information provided by the system vendor
Atos Standard Common RepositoryDatabricksMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSWC-DB infoSuper Wide Column DatabaseValentina Server
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
Atos Standard Common RepositoryDatabricksMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSWC-DB infoSuper Wide Column DatabaseValentina Server
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