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AnzoGraph DB System Properties

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Editorial information provided by DB-Engines
NameAnzoGraph DB
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualization
Primary database modelGraph DBMS
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Rank#284  Overall
#24  Graph DBMS
#14  RDF stores
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htm
DeveloperCambridge Semantics
Initial release2018
Current release2.2, August 2020
License infoCommercial or Open Sourcecommercial infofree trial version available
Cloud-based only infoOnly available as a cloud serviceno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Server operating systemsLinux
Data schemeSchema-free and OWL/RDFS-schema support
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.no
Secondary indexesno
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.
APIs and other access methodsApache Mule
OData access for BI tools
Supported programming languagesC++
Server-side scripts infoStored proceduresuser defined functions and aggregates
Partitioning methods infoMethods for storing different data on different nodesAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loading
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-Cluster
Foreign keys infoReferential integrityno infonot needed in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID
Concurrency infoSupport for concurrent manipulation of datayes
Durability infoSupport for making data persistentyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlAccess rights for users and roles
More information provided by the system vendor
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. 

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
AnzoGraph DB
Recent citations in the news

The 7 Best Graph Databases to Consider for 2021
29 March 2021, Solutions Review

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

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

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

Cambridge Semantics Releases 2019 Benchmark Report Showcasing How Graph Analytics Database, AnzoGraph, Complements Graph Transactional Databases
24 January 2019, Business Wire

provided by Google News

Job opportunities

Sales Director, Channel Sales
TigerGraph, California

Sales Director, Partner Success
TigerGraph, California

Senior Sales Engineer
TigerGraph, Boston, MA

Senior DevOps Engineer
Cambridge Semantics, Boston, MA

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