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DBMS > Adabas vs. Cubrid vs. Databricks vs. Microsoft Azure Synapse Analytics

System Properties Comparison Adabas vs. Cubrid vs. Databricks vs. Microsoft Azure Synapse Analytics

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Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonCubrid  Xexclude from comparisonDatabricks  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPThe 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 Server
Primary database modelMultivalue DBMSRelational DBMSDocument store
Relational DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.17
Rank#94  Overall
#1  Multivalue DBMS
Score1.20
Rank#169  Overall
#78  Relational DBMS
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlcubrid.com (korean)
cubrid.org (english)
www.databricks.comazure.microsoft.com/­services/­synapse-analytics
Technical documentationcubrid.org/­manualsdocs.databricks.comdocs.microsoft.com/­azure/­synapse-analytics
DeveloperSoftware AGCUBRID Corporation, CUBRID FoundationDatabricksMicrosoft
Initial release1971200820132016
Current release11.0, January 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++, JavaC++
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
Linux
Windows
hostedhosted
Data schemeyesyesFlexible Schema (defined schema, partial schema, schema free)yes
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.nonoyesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL Gatewayyeswith Databricks SQLyes
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
ADO.NET
JDBC
ODBC
OLE DB
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
Supported programming languagesNaturalC
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Python
R
Scala
C#
Java
PHP
Server-side scripts infoStored proceduresin NaturalJava Stored Proceduresuser defined functions and aggregatesTransact SQL
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas VistanoneSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event ReplicatorSource-replica replicationyesyes
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 integritynoyesno 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 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.nonono
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)fine grained access rights according to SQL-standardyes
More information provided by the system vendor
Adabas infodenotes "adaptable data base"CubridDatabricksMicrosoft 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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More resources
Adabas infodenotes "adaptable data base"CubridDatabricksMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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