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DBMS > Adabas vs. Blazegraph vs. Google Cloud Datastore vs. gStore

System Properties Comparison Adabas vs. Blazegraph vs. Google Cloud Datastore vs. gStore

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Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonBlazegraph  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisongStore  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformHigh-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformA native Graph DBMS to store and maintain very large RDF datasets.
Primary database modelMultivalue DBMSGraph DBMS
RDF store
Document storeGraph DBMS
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.64
Rank#104  Overall
#1  Multivalue DBMS
Score0.74
Rank#217  Overall
#19  Graph DBMS
#8  RDF stores
Score4.13
Rank#71  Overall
#12  Document stores
Score0.03
Rank#367  Overall
#37  Graph DBMS
#18  RDF stores
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlblazegraph.comcloud.google.com/­datastoreen.gstore.cn
Technical documentationwiki.blazegraph.comcloud.google.com/­datastore/­docsen.gstore.cn/­#/­enDocs
DeveloperSoftware AGBlazegraphGoogle
Initial release1971200620082016
Current release2.1.5, March 20191.2, November 2023
License infoCommercial or Open SourcecommercialOpen Source infoextended commercial license availablecommercialOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
Linux
OS X
Windows
hostedLinux
Data schemeyesschema-freeschema-freeschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or dateyesyes infoRDF literal typesyes, 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 indexesyesyesyes
SQL infoSupport of SQLyes infowith add-on product Adabas SQL GatewaySPARQL is used as query languageSQL-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
Java API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
HTTP API
SPARQL 1.1
Supported programming languagesNatural.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresin Naturalyesusing Google App Engineyes
TriggersnonoCallbacks using the Google Apps Engine
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas VistaShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event ReplicatoryesMulti-source replication using Paxos
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infousing Google Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate 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 integritynoyes infoRelationships in Graphsyes infovia ReferenceProperties or Ancestor paths
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infoSerializable Isolation within Transactions, Read Committed outside of Transactionsyes
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)Security and Authentication via Web Application Container (Tomcat, Jetty)Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Users, roles and permissions, Role-Based Access Control (RBAC) supported

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More resources
Adabas infodenotes "adaptable data base"BlazegraphGoogle Cloud DatastoregStore
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