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DBMS > Adabas vs. Databricks vs. GridGain vs. Microsoft Azure SQL Database

System Properties Comparison Adabas vs. Databricks vs. GridGain vs. Microsoft Azure SQL Database

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Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonDatabricks  Xexclude from comparisonGridGain  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparison
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformThe 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.GridGain is an in-memory computing platform, built on Apache IgniteDatabase as a Service offering with high compatibility to Microsoft SQL Server
Primary database modelMultivalue DBMSDocument store
Relational DBMS
Columnar
Key-value store
Object oriented DBMS
Relational DBMS
Relational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.64
Rank#104  Overall
#1  Multivalue DBMS
Score84.24
Rank#14  Overall
#2  Document stores
#9  Relational DBMS
Score1.48
Rank#150  Overall
#1  Columnar
#26  Key-value stores
#2  Object oriented DBMS
#69  Relational DBMS
Score72.95
Rank#16  Overall
#11  Relational DBMS
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlwww.databricks.comwww.gridgain.comazure.microsoft.com/­en-us/­products/­azure-sql/­database
Technical documentationdocs.databricks.comwww.gridgain.com/­docs/­index.htmldocs.microsoft.com/­en-us/­azure/­azure-sql
DeveloperSoftware AGDatabricksGridGain Systems, Inc.Microsoft
Initial release1971201320072010
Current releaseGridGain 8.5.1V12
License infoCommercial or Open Sourcecommercialcommercialcommercial, open sourcecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .Net, Python, REST, SQLC++
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
hostedLinux
OS X
Solaris
Windows
z/OS
hosted
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)yesyes
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.noyesyesyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL Gatewaywith Databricks SQLANSI-99 for query and DML statements, subset of DDLyes
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
JDBC
ODBC
RESTful HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
JDBC
ODBC
Supported programming languagesNaturalPython
R
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresin Naturaluser defined functions and aggregatesyes (compute grid and cache interceptors can be used instead)Transact SQL
Triggersnoyes (cache interceptors and events)yes
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas VistaSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event Replicatoryesyes (replicated cache)yes, with always 3 replicas available
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
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.nonoyes
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)Role-based access control
Security Hooks for custom implementations
fine grained access rights according to SQL-standard
More information provided by the system vendor
Adabas infodenotes "adaptable data base"DatabricksGridGainMicrosoft Azure SQL Database infoformerly SQL Azure
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
Adabas infodenotes "adaptable data base"DatabricksGridGainMicrosoft Azure SQL Database infoformerly SQL Azure
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