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DBMS > Google Cloud Datastore vs. MaxDB vs. RDF4J vs. TigerGraph

System Properties Comparison Google Cloud Datastore vs. MaxDB vs. RDF4J vs. TigerGraph

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Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonMaxDB infoformerly named Adabas-D  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformA robust and reliable RDBMS optimized to run all major SAP solutionsRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.A complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelDocument storeRelational DBMSRDF storeGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.36
Rank#72  Overall
#12  Document stores
Score2.26
Rank#114  Overall
#55  Relational DBMS
Score0.74
Rank#222  Overall
#9  RDF stores
Score1.80
Rank#138  Overall
#13  Graph DBMS
Websitecloud.google.com/­datastoremaxdb.sap.comrdf4j.orgwww.tigergraph.com
Technical documentationcloud.google.com/­datastore/­docsmaxdb.sap.com/­documentationrdf4j.org/­documentationdocs.tigergraph.com
DeveloperGoogleSAP, acquired from Software AG (Adabas-D) in 1997Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release2008198420042017
Current release7.9.10.12, February 2024
License infoCommercial or Open Sourcecommercialcommercial infoLimited community edition freeOpen Source infoEclipse Distribution License (EDL), v1.0.commercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaC++
Server operating systemshostedAIX
HP-UX
Linux
Solaris
Windows
Linux
OS X
Unix
Windows
Linux
Data schemeschema-freeyesyes infoRDF Schemasyes
Typing infopredefined data types such as float or dateyes, details hereyesyesyes
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 SQLSQL-like query language (GQL)yesnoSQL-like query language (GSQL)
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
WebDAV
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C#
Java
Perl
PHP
Python
Java
PHP
Python
C++
Java
Server-side scripts infoStored proceduresusing Google App Engineyesyesyes
TriggersCallbacks using the Google Apps Engineyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using PaxosSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud Dataflownonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate 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.Immediate Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDACID infoIsolation support depends on the API usedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoin-memory storage is supported as wellyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardnoRole-based access control

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More resources
Google Cloud DatastoreMaxDB infoformerly named Adabas-DRDF4J infoformerly known as SesameTigerGraph
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