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DBMS > Databend vs. GraphDB vs. Machbase Neo vs. Valentina Server

System Properties Comparison Databend vs. GraphDB vs. Machbase Neo vs. Valentina Server

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Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonMachbase Neo infoFormer name was Infiniflux  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityEnterprise-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.TimeSeries DBMS for AIoT and BigDataObject-relational database and reports server
Primary database modelRelational DBMSGraph DBMS
RDF store
Time Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.28
Rank#287  Overall
#131  Relational DBMS
Score2.76
Rank#99  Overall
#8  Graph DBMS
#4  RDF stores
Score0.07
Rank#348  Overall
#34  Time Series DBMS
Score0.18
Rank#313  Overall
#140  Relational DBMS
Websitegithub.com/­datafuselabs/­databend
www.databend.com
www.ontotext.commachbase.comwww.valentina-db.net
Technical documentationdocs.databend.comgraphdb.ontotext.com/­documentationmachbase.com/­dbmsvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
Social network pagesLinkedInTwitterYouTubeGitHubMedium
DeveloperDatabend LabsOntotextMachbaseParadigma Software
Initial release2021200020131999
Current release1.0.59, April 202310.4, October 2023V8.0, August 20235.7.5
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infoSome plugins of GraphDB Workbench are open sourcedcommercial infofree test version availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRustJavaC
Server operating systemshosted
Linux
macOS
All OS with a Java VM
Linux
OS X
Windows
Linux
macOS
Windows
Linux
OS X
Windows
Data schemeyesschema-free and OWL/RDFS-schema support; RDF shapesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesnoyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyesyes
SQL infoSupport of SQLyesstored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCSQL-like query languageyes
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
GeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
gRPC
HTTP REST
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C
C#
C++
Go
Java
JavaScript
PHP infovia ODBC
Python
R infovia ODBC
Scala
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresnowell-defined plugin interfaces; JavaScript server-side extensibilitynoyes
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replicationselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)
Foreign keys infoReferential integritynoyes infoConstraint checkingnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesnoyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infovolatile and lookup tableyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesDefault 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.simple password-based access controlfine grained access rights according to SQL-standard
More information provided by the system vendor
DatabendGraphDB infoformer name: OWLIMMachbase Neo infoFormer name was InfinifluxValentina Server
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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23 August 2024

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22 August 2024

The Power of Knowledge Graphs – A Chat with Perfect Memory and Ontotext
16 August 2024

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
DatabendGraphDB infoformer name: OWLIMMachbase Neo infoFormer name was InfinifluxValentina Server
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