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

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

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Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonMilvus  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.A DBMS designed for efficient storage of vector data and vector similarity searches
Primary database modelGraph DBMSKey-value store
Wide column store
Graph DBMS
RDF store
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.53
Rank#164  Overall
#15  Graph DBMS
Score3.86
Rank#90  Overall
#13  Key-value stores
#7  Wide column stores
Score2.91
Rank#106  Overall
#8  Graph DBMS
#4  RDF stores
Score1.70
Rank#150  Overall
#5  Vector DBMS
Websitedgraph.iocloud.google.com/­bigtablewww.ontotext.commilvus.io
Technical documentationdgraph.io/­docscloud.google.com/­bigtable/­docsgraphdb.ontotext.com/­documentationmilvus.io/­docs/­overview.md
Social network pagesLinkedInTwitterYouTubeGitHubMedium
DeveloperDgraph Labs, Inc.GoogleOntotext
Initial release2016201520002019
Current release10.4, October 20232.3.4, January 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercial infoSome plugins of GraphDB Workbench are open sourcedOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Zilliz Cloud – Cloud-native service for Milvus
Implementation languageGoJavaC++, Go
Server operating systemsLinux
OS X
Windows
hostedAll OS with a Java VM
Linux
OS X
Windows
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Data schemeschema-freeschema-freeschema-free and OWL/RDFS-schema support; RDF shapes
Typing infopredefined data types such as float or dateyesnoyesVector, Numeric and String
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
RESTful HTTP API
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
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnonowell-defined plugin interfaces; JavaScript server-side extensibilityno
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesyesShardingnoneSharding
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 replication
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)Bounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable 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.noyes
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.Role based access control and fine grained access rights
More information provided by the system vendor
DgraphGoogle Cloud BigtableGraphDB infoformer name: OWLIMMilvus
Specific characteristicsOntotext GraphDB is a semantic database engine that allows organizations to build...
» more
Milvus is an open-source and cloud-native vector database built for production-ready...
» more
Competitive advantagesGraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment...
» more
Highly available, versatile, and robust with millisecond latency. Supports batch...
» more
Typical application scenariosMetadata enrichment and management, linked data publishing, semantic inferencing...
» more
RAG: retrieval augmented generation Video media : video understanding, video deduplication....
» more
Key customers​ GraphDB provides a platform for building next-generation AI and Knowledge Graph...
» more
Milvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
» more
Market metricsGraphDB is the most utilized semantic triplestore for mission-critical enterprise...
» more
As of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
» more
Licensing and pricing modelsGraphDB Free is a non-commercial version and is free to use. GraphDB Enterprise edition...
» more
Milvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» more
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