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DBMS > Adabas vs. Microsoft SQL Server vs. Oracle Berkeley DB vs. YugaByte DB

System Properties Comparison Adabas vs. Microsoft SQL Server vs. Oracle Berkeley DB vs. YugaByte DB

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Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonYugaByte DB  Xexclude from comparison
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformMicrosofts relational DBMSWidely used in-process key-value storeHigh-performance distributed SQL database for global, internet-scale applications
Primary database modelMultivalue DBMSRelational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Relational DBMS
Secondary database modelsDocument store
Graph DBMS
Document store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.42
Rank#69  Overall
#1  Multivalue DBMS
Score1081.91
Rank#3  Overall
#3  Relational DBMS
Score2.91
Rank#90  Overall
#16  Key-value stores
#2  Native XML DBMS
Score0.73
Rank#176  Overall
#87  Relational DBMS
Websitewww.softwareag.com/­corporate/­products/­adabas_natural/­adabas/­default.htmlwww.microsoft.com/­en-us/­sql-serverwww.oracle.com/­technetwork/­database/­database-technologies/­berkeleydb/­overview/­index.htmlwww.yugabyte.com
Technical documentationdocs.microsoft.com/­en-ie/­sql/­sql-server/­sql-server-technical-documentationdocs.oracle.com/­cd/­E17076_05/­html/­index.htmldocs.yugabyte.com
github.com/­YugaByte/­yugabyte-db
DeveloperSoftware AGMicrosoftOracle infooriginally developed by Sleepycat, which was acquired by OracleYugaByte
Initial release1971198919942017
Current releaseSQL Server 2019, November 201918.1 (Core), June 20181.2, March 2019
License infoCommercial or Open Sourcecommercialcommercial inforestricted free version is availableOpen Source infocommercial license availableOpen Source infoApache 2.0, enterprise edition available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C, Java, C++ (depending on the Berkeley DB edition)C and C++
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
Linux
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
OS X
Data schemeyesyesschema-freedepending on used data model
Typing infopredefined data types such as float or dateyesyesnoyes
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.noyesyes infoonly with the Berkeley DB XML editionno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL Gatewayyesyes infoSQL interfaced based on SQLite is availableyes, PostgreSQL compatible
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
Tabular Data Stream (TDS)
YCQL, an SQL-based flexible-schema API with its roots in Cassandra Query Language
Supported programming languagesNaturalC#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
Perl
Python
Tcl
C
C#
C++
Go
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresin NaturalTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javanono
Triggersnoyesyes infoonly for the SQL APIno
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas Vistatables can be distributed across several files (horizontal partitioning); sharding through federationnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event Replicatoryes, but depending on the SQL-Server EditionMaster-slave replicationselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency consistency on writes and tunable consistency on reads
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes infobased on RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)fine grained access rights according to SQL-standardnoyes

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