AnzoGraph DB

AnzoGraph DB

Cambridge Semantics
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About

With a huge collection of analytical features, AnzoGraph DB can enhance your analytical framework. Watch this video to learn how AnzoGraph DB is a Massively Parallel Processing (MPP) native graph database that is built for data harmonization and analytics. Horizontally scalable graph database built for online analytics and data harmonization. Take on data harmonization and linked data challenges with AnzoGraph DB, a market-leading analytical graph database. AnzoGraph DB provides industrialized online performance for enterprise-scale graph applications. AnzoGraph DB uses familiar SPARQL*/OWL for semantic graphs but also supports Labeled Property Graphs (LPGs). Access to many analytical, machine learning and data science capabilities help you achieve new insights, delivered at unparalleled speed and scale. Use context and relationships between data as first-class citizens in your analysis. Ultra-fast data loading and analytical queries.

About

Through its Native Parallel Graph™ technology, the TigerGraph™ graph platform represents what’s next in the graph database evolution: a complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time. Combining the best ideas (MapReduce, Massively Parallel Processing, and fast data compression/decompression) with fresh development, TigerGraph delivers what you’ve been waiting for: the speed, scalability, and deep exploration/querying capability to extract more business value from your data.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Industries that need an horizontally scalable graph database for online analytics and data harmonization

Audience

Enterprise businesses looking for a complete Graph Database solution

Support

Phone Support Supported
24/7 Live Support Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Not Supported

API

Offers API Not Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

Pros & Cons from Real Users

Pros

  • The response time of a query is RealTime and the GSQL as a language is easy to learn.And there is a lot of data loaders like Kafka, CSV, Node Red and many other connectors. And did i mention that TigerGraph is the Graph db Leader.

Cons

  • - Fast - Light - Extensible - Scalable - ML AI - AML

Training

Documentation Supported
Webinars Supported
Live Online Supported
In Person Not Supported

Training

Documentation Not Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

Cambridge Semantics
Founded: 2007
United States
www.cambridgesemantics.com/anzograph/

Company Information

TigerGraph
United States
www.tigergraph.com

Alternatives

GraphDB

GraphDB

Ontotext

Alternatives

GraphBase

GraphBase

FactNexus
AllegroGraph

AllegroGraph

Franz Inc.
Grakn

Grakn

Grakn Labs

Categories

Graph Databases Supported

Categories

Database Supported
Graph Databases Supported

Integrations

Amazon Web Services (AWS) Supported
Apache Kafka Supported
Data Sentinel Not Supported
Docker Supported
Google Cloud Platform Supported
Hackolade Not Supported
Jupyter Notebook Supported
MapWeave Not Supported
Microsoft Azure Supported
Peaka Not Supported
Salesforce Data 360 Not Supported
StarfishETL Not Supported
Tableau Supported

Integrations

Amazon Web Services (AWS) Not Supported
Apache Kafka Not Supported
Data Sentinel Supported
Docker Not Supported
Google Cloud Platform Not Supported
Hackolade Supported
Jupyter Notebook Not Supported
MapWeave Supported
Microsoft Azure Not Supported
Peaka Supported
Salesforce Data 360 Supported
StarfishETL Supported
Tableau Not Supported
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