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DBMS > Atos Standard Common Repository vs. Databricks vs. dBASE vs. Microsoft Azure AI Search vs. Microsoft Azure Synapse Analytics

System Properties Comparison Atos Standard Common Repository vs. Databricks vs. dBASE vs. Microsoft Azure AI Search vs. Microsoft Azure Synapse Analytics

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonDatabricks  Xexclude from comparisondBASE  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  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.dBase was one of the first databases with a development environment on PC's. Its latest version dBase V is still sold as dBase classic, which needs a DOS Emulation. The up-to-date product is dBase plus.Search-as-a-service for web and mobile app developmentElastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelDocument store
Key-value store
Document store
Relational DBMS
Relational DBMSSearch engineRelational DBMS
Secondary database modelsVector 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
Score9.70
Rank#44  Overall
#28  Relational DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Score19.93
Rank#31  Overall
#19  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.databricks.comwww.dbase.comazure.microsoft.com/­en-us/­services/­searchazure.microsoft.com/­services/­synapse-analytics
Technical documentationdocs.databricks.comwww.dbase.com/­support/­knowledgebaselearn.microsoft.com/­en-us/­azure/­searchdocs.microsoft.com/­azure/­synapse-analytics
DeveloperAtos Convergence CreatorsDatabricksAsthon TateMicrosoftMicrosoft
Initial release20162013197920152016
Current release1703dBASE 2019, 2019V1
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesnoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++
Server operating systemsLinuxhostedDOS infodBase Classic
Windows infodBase Pro
hostedhosted
Data schemeSchema and schema-less with LDAP viewsFlexible Schema (defined schema, partial schema, schema free)yesyesyes
Typing infopredefined data types such as float or dateoptionalyesyesyes
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 indexesyesyesyesyesyes
SQL infoSupport of SQLnowith Databricks SQLnonoyes
APIs and other access methodsLDAPJDBC
ODBC
RESTful HTTP API
none infoThe IDE can access other DBMS or ODBC-sources.RESTful HTTP APIADO.NET
JDBC
ODBC
Supported programming languagesAll languages with LDAP bindingsPython
R
Scala
dBase proprietary IDEC#
Java
JavaScript
Python
C#
Java
PHP
Server-side scripts infoStored proceduresnouser defined functions and aggregatesno infoThe IDE can access stored procedures in other database systems.noTransact SQL
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionnoneSharding infoImplicit feature of the cloud serviceSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesnoneyes infoImplicit feature of the cloud serviceyes
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 integritynoyesnono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDno infonot for dBase internal data, but IDE does support transactions when accessing external DBMSnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yesnono
User concepts infoAccess controlLDAP bind authenticationAccess rights for users and rolesyes infousing Azure authenticationyes
More information provided by the system vendor
Atos Standard Common RepositoryDatabricksdBASEMicrosoft Azure AI SearchMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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Atos Standard Common RepositoryDatabricksdBASEMicrosoft Azure AI SearchMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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