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DBMS > AnzoGraph

AnzoGraph Systemeigenschaften

Bitte wählen Sie ein weiteres System aus, um es mit AnzoGraph zu vergleichen.

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

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NameAnzoGraph
KurzbeschreibungGraph Analytics Database (OLAP) that is MPP and standards-based
Primäres DatenbankmodellGraph DBMS
RDF Store
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte0,09
Rang#288  Overall
#25  Graph DBMS
#14  RDF Stores
Websitewww.cambridgesemantics.com/­anzograph
Technische Dokumentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htm
EntwicklerCambridge Semantics
Erscheinungsjahr2018
Aktuelle Version2.1, Februar 2020
Lizenz infoCommercial or Open Sourcekommerziell
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
Datenschemaja infoRDF schemas
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTnein
Sekundärindizesnein
SQL infoSupport of SQLSPARQL is used as query language
APIs und andere ZugriffskonzeptegRPC
JDBC
OpenCypher
RESTful HTTP API
SPARQL
Unterstützte ProgrammiersprachenC++
Java
Server-seitige Scripts infoStored Proceduresbenutzerdefinierte Funktionen
Triggersnein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate Consistency
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
Weitere Informationen bereitgestellt vom Systemhersteller
AnzoGraph
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.

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 version, 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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Wir laden Vertreter von Anbietern von zugehörigen Produkten ein uns zu kontaktieren, um hier Informationen über ihre Angebote zu präsentieren.

Weitere Ressourcen
AnzoGraph
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 adds OpenCypher to AnzoGraph
28. März 2019, KMWorld Magazine

AnzoGraph review: A graph database for deep analytics
15. April 2019, InfoWorld

Cambridge Semantics Releases 2019 Benchmark Report Showcasing How Graph Analytics Database, AnzoGraph, Complements Graph Transactional Databases
24. Januar 2019, Associated Press

bereitgestellt von Google News

Jobangebote

Senior Sales Engineers (Central/West Coast)
TigerGraph, Redwood City, CA

Senior DevOps Engineer
Cambridge Semantics, Boston, MA

jobs by Indeed




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