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DBMS > Dgraph vs. Google Cloud Bigtable vs. GraphDB vs. SiteWhere

System Properties Comparison Dgraph vs. Google Cloud Bigtable vs. GraphDB vs. SiteWhere

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Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonSiteWhere  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Enterprise-ready RDF and graph database with efficient reasoning, cluster and external index synchronization support. It supports also SQL JDBC access to Knowledge Graph and GraphQL over SPARQL.M2M integration platform for persisting/querying time series data
Primary database modelGraph DBMSKey-value store
Wide column store
Graph DBMS
RDF store
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.48
Rank#158  Overall
#15  Graph DBMS
Score3.58
Rank#92  Overall
#14  Key-value stores
#8  Wide column stores
Score3.10
Rank#100  Overall
#7  Graph DBMS
#4  RDF stores
Score0.06
Rank#367  Overall
#36  Time Series DBMS
Websitedgraph.iocloud.google.com/­bigtablewww.ontotext.comgithub.com/­sitewhere/­sitewhere
Technical documentationdgraph.io/­docscloud.google.com/­bigtable/­docsgraphdb.ontotext.com/­documentationsitewhere1.sitewhere.io/­index.html
Social network pagesLinkedInTwitterYouTubeGitHubMedium
DeveloperDgraph Labs, Inc.GoogleOntotextSiteWhere
Initial release2016201520002010
Current release10.4, October 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercial infoSome plugins of GraphDB Workbench are open sourcedOpen Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJavaJava
Server operating systemsLinux
OS X
Windows
hostedAll OS with a Java VM
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-freeschema-free and OWL/RDFS-schema support; RDF shapespredefined scheme
Typing infopredefined data types such as float or dateyesnoyesyes
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.nononono
Secondary indexesyesnoyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesno
SQL infoSupport of SQLnonostored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCno
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
GeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
HTTP REST
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnonowell-defined plugin interfaces; JavaScript server-side extensibility
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesyesShardingnoneSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftInternal replication in Colossus, and regional replication between two clusters in different zonesMulti-source replicationselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Immediate Consistency
Foreign keys infoReferential integritynonoyes infoConstraint checkingno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-row operationsACIDno
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.nono
User concepts infoAccess controlno infoPlanned for future releasesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Default Basic authentication through RDF4J client, or via Java when run with cURL, default token-based in the Workbench or via Rest API, optional access through OpenID or Kerberos single sign-on.Users with fine-grained authorization concept
More information provided by the system vendor
DgraphGoogle Cloud BigtableGraphDB infoformer name: OWLIMSiteWhere
Specific characteristicsOntotext GraphDB is a semantic database engine that allows organizations to build...
» more
Competitive advantagesGraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment...
» more
Typical application scenariosMetadata enrichment and management, linked data publishing, semantic inferencing...
» more
Key customers​ GraphDB provides a platform for building next-generation AI and Knowledge Graph...
» more
Market metricsGraphDB is the most utilized semantic triplestore for mission-critical enterprise...
» more
Licensing and pricing modelsGraphDB Free is a non-commercial version and is free to use. GraphDB Enterprise edition...
» more
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More resources
DgraphGoogle Cloud BigtableGraphDB infoformer name: OWLIMSiteWhere
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