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DBMS > Adabas vs. GraphDB vs. GridGain vs. JanusGraph vs. Milvus

System Properties Comparison Adabas vs. GraphDB vs. GridGain vs. JanusGraph vs. Milvus

Editorial information provided by DB-Engines
NameAdabas infodenotes "adaptable data base"  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonGridGain  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonMilvus  Xexclude from comparison
DescriptionOLTP - DBMS for mainframes and Linux/Unix/Windows environments infoused typically together with the Natural programming platformEnterprise-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.GridGain is an in-memory computing platform, built on Apache IgniteA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017A DBMS designed for efficient storage of vector data and vector similarity searches
Primary database modelMultivalue DBMSGraph DBMS
RDF store
Key-value store
Relational DBMS
Graph DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.17
Rank#94  Overall
#1  Multivalue DBMS
Score3.32
Rank#91  Overall
#6  Graph DBMS
#4  RDF stores
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score1.94
Rank#129  Overall
#12  Graph DBMS
Score2.31
Rank#113  Overall
#3  Vector DBMS
Websitewww.softwareag.com/­en_corporate/­platform/­adabas-natural.htmlwww.ontotext.comwww.gridgain.comjanusgraph.orgmilvus.io
Technical documentationgraphdb.ontotext.com/­documentationwww.gridgain.com/­docs/­index.htmldocs.janusgraph.orgmilvus.io/­docs/­overview.md
Social network pagesLinkedInTwitterYouTubeGitHubMedium
DeveloperSoftware AGOntotextGridGain Systems, Inc.Linux Foundation; originally developed as Titan by Aurelius
Initial release19712000200720172019
Current release10.4, October 2023GridGain 8.5.10.6.3, February 20232.3.4, January 2024
License infoCommercial or Open Sourcecommercialcommercial infoSome plugins of GraphDB Workbench are open sourcedcommercialOpen Source infoApache 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Zilliz Cloud – Cloud-native service for Milvus
Implementation languageJavaJava, C++, .NetJavaC++, Go
Server operating systemsBS2000
Linux
Unix
Windows
z/OS
z/VSE
All OS with a Java VM
Linux
OS X
Windows
Linux
OS X
Solaris
Windows
Linux
OS X
Unix
Windows
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Data schemeyesschema-free and OWL/RDFS-schema support; RDF shapesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesVector, 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.nonoyesnono
Secondary indexesyesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyesyesno
SQL infoSupport of SQLyes infowith add-on product Adabas SQL Gatewaystored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCANSI-99 for query and DML statements, subset of DDLnono
APIs and other access methodsHTTP API infowith add-on software Adabas SOA Gateway
SOAP-based API infowith add-on software Adabas SOA Gateway
GeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
RESTful HTTP API
Supported programming languagesNatural.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
Clojure
Java
Python
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresin Naturalwell-defined plugin interfaces; JavaScript server-side extensibilityyes (compute grid and cache interceptors can be used instead)yesno
Triggersnonoyes (cache interceptors and events)yesno
Partitioning methods infoMethods for storing different data on different nodesyes, with additonal products like Adabas Cluster Services, Adabas Parallel Services, Adabas VistanoneShardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with add-on product Event ReplicatorMulti-source replicationyes (replicated cache)yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes (compute grid and hadoop accelerator)yes infovia Faunus, a graph analytics engineno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Immediate ConsistencyEventual Consistency
Immediate Consistency
Bounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Foreign keys infoReferential integritynoyes infoConstraint checkingnoyes infoRelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlonly with OS-specific tools (e.g. IBM RACF, CA Top Secret)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.Security Hooks for custom implementationsUser authentification and security via Rexster Graph ServerRole based access control and fine grained access rights
More information provided by the system vendor
Adabas infodenotes "adaptable data base"GraphDB infoformer name: OWLIMGridGainJanusGraph infosuccessor of TitanMilvus
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...
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Competitive advantagesGraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment...
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Highly available, versatile, and robust with millisecond latency. Supports batch...
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Typical application scenariosMetadata enrichment and management, linked data publishing, semantic inferencing...
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RAG: retrieval augmented generation Video media : video understanding, video deduplication....
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Key customers​ GraphDB provides a platform for building next-generation AI and Knowledge Graph...
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Milvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
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Market metricsGraphDB is the most utilized semantic triplestore for mission-critical enterprise...
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As of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
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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...
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