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DBMS > 4D vs. Atos Standard Common Repository vs. Blazegraph vs. GraphDB vs. Vertica

System Properties Comparison 4D vs. Atos Standard Common Repository vs. Blazegraph vs. GraphDB vs. Vertica

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonBlazegraph  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.
DescriptionApplication development environment with integrated database management systemHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksHigh-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.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.Cloud or off-cloud analytical database and query engine for structured and semi-structured streaming and batch data. Machine learning platform with built-in algorithms, data preparation capabilities, and model evaluation and management via SQL or Python.
Primary database modelRelational DBMSDocument store
Key-value store
Graph DBMS
RDF store
Graph DBMS
RDF store
Relational DBMS infoColumn oriented
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.58
Rank#108  Overall
#54  Relational DBMS
Score0.75
Rank#219  Overall
#19  Graph DBMS
#8  RDF stores
Score3.32
Rank#91  Overall
#6  Graph DBMS
#4  RDF stores
Score10.68
Rank#43  Overall
#27  Relational DBMS
Websitewww.4d.comatos.net/en/convergence-creators/portfolio/standard-common-repositoryblazegraph.comwww.ontotext.comwww.vertica.com
Technical documentationdeveloper.4d.comwiki.blazegraph.comgraphdb.ontotext.com/­documentationvertica.com/­documentation
Social network pagesLinkedInTwitterYouTubeGitHubMedium
Developer4D, IncAtos Convergence CreatorsBlazegraphOntotextOpenText infopreviously Micro Focus and Hewlett Packard
Initial release19842016200620002005
Current releasev20, April 202317032.1.5, March 201910.4, October 202312.0.3, January 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoextended commercial license availablecommercial infoSome plugins of GraphDB Workbench are open sourcedcommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenonononono infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containers
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJavaC++
Server operating systemsOS X
Windows
LinuxLinux
OS X
Windows
All OS with a Java VM
Linux
OS X
Windows
Linux
Data schemeyesSchema and schema-less with LDAP viewsschema-freeschema-free and OWL/RDFS-schema support; RDF shapesYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.
Typing infopredefined data types such as float or dateyesoptionalyes infoRDF literal typesyesyes
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.yesyesnono
Secondary indexesyesyesyesyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLyes infoclose to SQL 92noSPARQL is used as query languagestored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
LDAPJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
GeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Supported programming languages4D proprietary IDE
PHP
All languages with LDAP bindings.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-side scripts infoStored proceduresyesnoyeswell-defined plugin interfaces; JavaScript server-side extensibilityyes, PostgreSQL PL/pgSQL, with minor differences
Triggersyesyesnonoyes, called Custom Alerts
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infocell divisionShardingnonehorizontal partitioning, hierarchical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesyesMulti-source replicationMulti-source replication infoOne, or more copies of data replicated across nodes, or object-store used for repository.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono infoBi-directional Spark integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Immediate Consistency
Foreign keys infoReferential integrityyesnoyes infoRelationships in Graphsyes infoConstraint checkingyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlUsers and groupsLDAP bind authenticationSecurity and Authentication via Web Application Container (Tomcat, Jetty)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.fine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
4D infoformer name: 4th DimensionAtos Standard Common RepositoryBlazegraphGraphDB infoformer name: OWLIMVertica infoOpenText™ Vertica™
Specific characteristicsOntotext GraphDB is a semantic database engine that allows organizations to build...
» more
Deploy-anywhere database for large-scale analytical deployments. Deploy off-cloud,...
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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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Fast, scalable, and capable of high concurrency. Separation of compute/storage leverages...
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Typical application scenariosMetadata enrichment and management, linked data publishing, semantic inferencing...
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Communication and network analytics, Embedded analytics, Fraud monitoring and Risk...
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Key customers​ GraphDB provides a platform for building next-generation AI and Knowledge Graph...
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Abiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» 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
Cost-based models and subscription-based models are both available. One license is...
» more
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