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AnzoGraph DB Systemeigenschaften

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Unsere Besucher vergleichen AnzoGraph DB oft mit Neo4j, GraphDB und Stardog.

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NameAnzoGraph DB
KurzbeschreibungScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualization
Primäres DatenbankmodellGraph DBMS
RDF Store
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Rang#289  Overall
#25  Graph DBMS
#14  RDF Stores
Technische Dokumentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htm
EntwicklerCambridge Semantics
Aktuelle Version2.2, August 2020
Lizenz infoCommercial or Open Sourcekommerziell infofree trial version available
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarnein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Server BetriebssystemeLinux
DatenschemaSchema-free and OWL/RDFS-schema support
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTnein
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.
APIs und andere ZugriffskonzepteApache Mule
OData access for BI tools
Unterstützte ProgrammiersprachenC++
Server-seitige Scripts infoStored Proceduresbenutzerdefinierte Funktionen
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenAutomatic sharding
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenMulti-Source Replikation in MPP-Cluster
MapReduce infoBietet ein API für Map/Reduce OperationenKerberos/HDFS data loading
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate Consistency in MPP-Cluster
Fremdschlüssel inforeferenzielle Integritätnein infonot needed in graphs
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenja
Durability infoDauerhafte Speicherung der Datenja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenja
Berechtigungskonzept infoZugriffskontrolleAccess rights for users and roles
Weitere Informationen bereitgestellt vom Systemhersteller
AnzoGraph DB
Specific characteristics

AnzoGraph DB is a massively parallel processing (MPP) native graph database built for diverse data harmonization and analytics at scale (trillions of triples & more), speed and deep link insights. Use it for embedded analytics that requires graph algorithms, graph views, named queries, aggregates, built-in data science functions, data warehouse-style BI and reporting functions.

Competitive advantages

AnzoGraph DB’s flexible data model and analytical capabilities not only let you load diverse data sets but can perform data warehouse-style analytics, graph algorithms, inferencing and more. It offers a broad set of analytics on a wide range of data, delivered at unparalleled speed and scale. 

Our engine supports labeled properties under the new proposed W3C standard RDF*. Apply properties to vertices and edges for extra analytical firepower. You can intermix RDF and RDF* triples in the same database with no special setup.

Anzograph DB supports geospatial analytics through a partnership with ESRI. We also support virtualization, allowing users to leverage data sets that are not necessarily in the database.

Utilize unique architecture with ultra-fast data loading and super-fast analytical queries, and where performance and data volume capacity handling linearly scale as you add servers. Easily scales to trillions of triples. ACID compliance lets you handle transactions, too.

Typical application scenarios

Developers can use AnzoGraph DB to build and execute data warehouse-style BI analytics while leveraging our graph algorithms, data science functions and inferencing.

Knowledge GraphOrganizations are using graph databases to build knowledge graphs to provide common business understanding to the data harmonized from diverse sources. Knowledge Graphs stores entities and relationships in data and allows users to search, analyze and use this connected data to accelerate vital new discoveries.

Unstructured Data AnalyticsCombined with Natural Language Processing (NLP), graph database offers a free-form repository to store the output of NLP, which is often formatted in RDF triples and use of such data for data discovery and analytics.

AI & Machine LearningAI and machine learning offer workloads that are well-suited for graph databases. Many of the machine-based algorithms are graph algorithms such as community detection algorithms, pathfinding algorithms, similarity or centrality algorithms.

Key customers

Anzograph DB has customers in biotech, pharma, financial services and other verticals.

Licensing and pricing models

AnzoGraph DB is offered in a free edition, free for commercial use for workloads that use less than 16 GB. Commercial pricing is based primarily on the number of nodes needed to perform workload. 

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Weitere Ressourcen
AnzoGraph DB
Erwähnungen in aktuellen Nachrichten

Cambridge Semantics Announces Major Upgrades to Its Award-Winning AnzoGraph® DB, Including Free Edition for Commercial Use
23. Januar 2020, Business Wire

Cambridge Semantics Fits AnzoGraph DB with More Speed, Free Access
23. Januar 2020, Solutions Review

Cambridge Semantics : Appoints Brian D. Owen as Chief Executive Officer
23. September 2020, Marketscreener.com

Cambridge Semantics Introduces Geospatial Analytics within its Award-Winning AnzoGraph® DB
18. Juni 2020, PR Web

Cambridge Semantics Unveils AnzoGraph DB with Geospatial Analytics
19. Juni 2020, Solutions Review

bereitgestellt von Google News


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