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DBMS > Adabas vs. BoltDB vs. dBASE vs. Google Cloud Datastore vs. RDF4J

System Properties Comparison Adabas vs. BoltDB vs. dBASE vs. Google Cloud Datastore vs. RDF4J

Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonBoltDB  Xexclude from comparisondBASE  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformAn embedded key-value store for Go.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.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelMultivalue DBMSKey-value storeRelational DBMSDocument storeRDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.17
Rank#94  Overall
#1  Multivalue DBMS
Score0.74
Rank#220  Overall
#31  Key-value stores
Score10.34
Rank#44  Overall
#28  Relational DBMS
Score4.47
Rank#76  Overall
#12  Document stores
Score0.69
Rank#230  Overall
#9  RDF stores
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlgithub.com/­boltdb/­boltwww.dbase.comcloud.google.com/­datastorerdf4j.org
Technical documentationwww.dbase.com/­support/­knowledgebasecloud.google.com/­datastore/­docsrdf4j.org/­documentation
DeveloperSoftware AGAsthon TateGoogleSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release19712013197920082004
Current releasedBASE 2019, 2019
License infoCommercial or Open SourcecommercialOpen Source infoMIT LicensecommercialcommercialOpen Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJava
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
BSD
Linux
OS X
Solaris
Windows
DOS infodBase Classic
Windows infodBase Pro
hostedLinux
OS X
Unix
Windows
Data schemeyesschema-freeyesschema-freeyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesnoyesyes, details hereyes
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.nonono
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL GatewaynonoSQL-like query language (GQL)no
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
none infoThe IDE can access other DBMS or ODBC-sources.gRPC (using protocol buffers) API
RESTful HTTP/JSON API
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesNaturalGodBase proprietary IDE.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
PHP
Python
Server-side scripts infoStored proceduresin Naturalnono infoThe IDE can access stored procedures in other database systems.using Google App Engineyes
TriggersnononoCallbacks using the Google Apps Engineyes
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas VistanonenoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event ReplicatornonenoneMulti-source replication using Paxosnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infousing Google Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.
Foreign keys infoReferential integritynonoyesyes infovia ReferenceProperties or Ancestor paths
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesno infonot for dBase internal data, but IDE does support transactions when accessing external DBMSACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoin-memory storage is supported as well
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)noAccess rights for users and rolesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)no

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Adabas infodenotes "adaptable data base"BoltDBdBASEGoogle Cloud DatastoreRDF4J infoformerly known as Sesame
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