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DBMS > Adabas vs. Apache Drill vs. Microsoft Azure Table Storage vs. Postgres-XL

System Properties Comparison Adabas vs. Apache Drill vs. Microsoft Azure Table Storage vs. Postgres-XL

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Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonApache Drill  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonPostgres-XL  Xexclude from comparison
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageA Wide Column Store for rapid development using massive semi-structured datasetsBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelMultivalue DBMSDocument store
Relational DBMS
Wide column storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.17
Rank#94  Overall
#1  Multivalue DBMS
Score1.95
Rank#127  Overall
#23  Document stores
#60  Relational DBMS
Score4.48
Rank#75  Overall
#6  Wide column stores
Score0.49
Rank#256  Overall
#117  Relational DBMS
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmldrill.apache.orgazure.microsoft.com/­en-us/­services/­storage/­tableswww.postgres-xl.org
Technical documentationdrill.apache.org/­docswww.postgres-xl.org/­documentation
DeveloperSoftware AGApache Software FoundationMicrosoft
Initial release1971201220122014 infosince 2012, originally named StormDB
Current release1.20.3, January 202310 R1, October 2018
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2commercialOpen Source infoMozilla public license
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
Linux
OS X
Windows
hostedLinux
macOS
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nononoyes infoXML type, but no XML query functionality
Secondary indexesyesnonoyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL GatewaySQL SELECT statement is SQL:2003 compliantnoyes infodistributed, parallel query execution
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
RESTful HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesNaturalC++.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresin Naturaluser defined functionsnouser defined functions
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas VistaShardingSharding infoImplicit feature of the cloud servicehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event Replicatoryes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnooptimistic lockingACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesDepending on the underlying data sourceyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noDepending on the underlying data sourcenono
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)Depending on the underlying data sourceAccess rights based on private key authentication or shared access signaturesfine grained access rights according to SQL-standard

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More resources
Adabas infodenotes "adaptable data base"Apache DrillMicrosoft Azure Table StoragePostgres-XL
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