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Description

AllegroGraph represents a revolutionary advancement that facilitates limitless data integration through a proprietary methodology that merges all types of data and isolated knowledge into a cohesive Entity-Event Knowledge Graph, which is capable of handling extensive big data analytics. It employs distinctive federated sharding features that promote comprehensive insights and allow for intricate reasoning across a decentralized Knowledge Graph. Additionally, AllegroGraph offers an integrated version of Gruff, an innovative browser-based tool designed for visualizing graphs, helping users to explore and uncover relationships within their enterprise Knowledge Graphs. Furthermore, Franz's Knowledge Graph Solution encompasses both cutting-edge technology and expert services aimed at constructing robust Entity-Event Knowledge Graphs, leveraging top-tier tools, products, and extensive expertise to ensure optimal performance. This comprehensive approach not only enhances data utility but also empowers organizations to derive deeper insights and drive informed decision-making.

Description

Amazon Neptune is an efficient and dependable graph database service that is fully managed, facilitating the development and operation of applications that handle intricate, interconnected datasets. At its heart, Amazon Neptune features a specialized, high-performance database engine tailored for the storage of billions of relationships while enabling rapid querying with latency measured in milliseconds. It accommodates widely-used graph models, including Property Graph and W3C's RDF, along with their associated query languages, Apache TinkerPop Gremlin and SPARQL, which simplifies the process of crafting queries for navigating complex datasets. This service supports various graph-based applications, including recommendation systems, fraud detection mechanisms, knowledge graphs, drug discovery initiatives, and enhanced network security protocols. With a proactive approach, it enables the detection and analysis of IT infrastructure threats through a multi-layered security framework. Furthermore, it allows users to visualize their entire infrastructure to effectively plan, forecast, and address potential risks, while also enabling the creation of graph queries for the near-real-time identification of fraudulent patterns in financial and purchasing activities, thereby enhancing overall security and efficiency.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

AWS App Mesh No 
AWS Marketplace No 
Amazon Quantum Ledger Database (QLDB) No 
Apache Solr Yes 
Cloudera Yes 
Docker Yes 
G.V() Gremlin IDE No 
Hackolade Yes 
KeyLines No 
KgBase No 
Kubernetes Yes 
MapWeave No 
MongoDB Yes 
New Relic No 
PoolParty Yes 
ReGraph No 
Swarm Yes 
Tom Sawyer Perspectives No 
metaphactory No 

Integrations

AWS App Mesh Yes 
AWS Marketplace Yes 
Amazon Quantum Ledger Database (QLDB) Yes 
Apache Solr No 
Cloudera No 
Docker No 
G.V() Gremlin IDE Yes 
Hackolade No 
KeyLines Yes 
KgBase Yes 
Kubernetes No 
MapWeave Yes 
MongoDB No 
New Relic Yes 
PoolParty No 
ReGraph Yes 
Swarm No 
Tom Sawyer Perspectives Yes 
metaphactory Yes 

Pricing Details

No price information available.
Free Trial Yes 
Free Version Yes 

Pricing Details

Custom Pricing based on database storage, location, etc
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

Franz Inc.

Country

San Francisco Bay Area

Website

www.franz.com

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/neptune/

Product Features

Data Visualization

Analytics No 
Content Management No 
Dashboard Creation No 
Filtered Views No 
OLAP No 
Relational Display No 
Simulation Models No 
Visual Discovery No 

Database

Backup and Recovery Yes 
Creation / Development Yes 
Data Migration Yes 
Data Replication Yes 
Data Search Yes 
Data Security Yes 
Database Conversion Yes 
Mobile Access Yes 
Monitoring Yes 
NOSQL Yes 
Performance Analysis Yes 
Queries Yes 
Relational Interface No 
Virtualization Yes 

Knowledge Management

Artificial Intelligence (AI) No 
Cataloging / Categorization No 
Collaboration No 
Content Management No 
Decision Tree No 
Discussion Boards No 
Full Text Search No 
Knowledge Base Management No 
Self Service Portal No 

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization No 

Natural Language Processing

Co-Reference Resolution No 
In-Database Text Analytics No 
Named Entity Recognition No 
Natural Language Generation (NLG) No 
Open Source Integrations No 
Parsing No 
Part-of-Speech Tagging No 
Sentence Segmentation No 
Stemming/Lemmatization No 
Tokenization No 

NoSQL Database

Auto-sharding Yes 
Automatic Database Replication Yes 
Data Model Flexibility Yes 
Deployment Flexibility Yes 
Dynamic Schemas Yes 
Integrated Caching Yes 
Multi-Model Yes 
Performance Management Yes 
Security Management Yes 

Product Features

NoSQL Database

Auto-sharding Yes 
Automatic Database Replication Yes 
Data Model Flexibility Yes 
Deployment Flexibility Yes 
Dynamic Schemas Yes 
Integrated Caching Yes 
Multi-Model Yes 
Performance Management Yes 
Security Management Yes 

Alternatives

Alternatives

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GraphDB

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Apache TinkerPop

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