About
AllegroGraph is a breakthrough solution that allows infinite data integration through a patented approach unifying all data and siloed knowledge into an Entity-Event Knowledge Graph solution that can support massive big data analytics. AllegroGraph utilizes unique federated sharding capabilities that drive 360-degree insights and enable complex reasoning across a distributed Knowledge Graph.
AllegroGraph provides users with an integrated version of Gruff, a unique browser-based graph visualization software tool for exploring and discovering connections within enterprise Knowledge Graphs.
Franz’s Knowledge Graph Solution includes both technology and services for building industrial strength Entity-Event Knowledge Graphs based on best-of-class tools, products, knowledge, skills and experience.
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About
Natively store data for graph, document and search needs. Utilize feature-rich access with one query language. Map data natively to the database and access it with the best patterns for the job – traversals, joins, search, ranking, geospatial, aggregations – you name it. Polyglot persistence without the costs. Easily design, scale and adapt your architectures to changing needs and with much less effort. Combine the flexibility of JSON with semantic search and graph technology for next generation feature extraction even for large datasets.
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About
The JavaScript InfoVis Toolkit provides tools for creating interactive data visualizations for the web. The best way to start is to take a look at the demos page. Each demo has a See the Example Code link that takes you to the code for that example. The actual library code is included in the HTML file by building the lib each time with only the needed requirements taken from the name of the visualization and the build.json file. The required library code is built by the build.py file. In order to create a new visualization you need to set up the server environment to include test JavaScript files for your new visualization and also you need to add the new visualization files into the Source folder.
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About
Neo4j’s graph data platform is purpose-built to leverage not only data but also data relationships. Using Neo4j, developers build intelligent applications that traverse today's large, interconnected datasets in real time. Powered by a native graph storage and processing engine, Neo4j’s graph database delivers an intuitive, flexible and secure database for unique, actionable insights.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Application Developers
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Audience
Developers, system architects, data scientists
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Audience
Developers in need of a tool for creating interactive data visualizations for the web
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Audience
Companies of all sizes
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Pricing
Free
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Reviews/
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Reviews/
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationFranz Inc.
San Francisco Bay Area
www.franz.com
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Company InformationArangoDB
Founded: 2011
United States
www.arangodb.com
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Company InformationSenchaLabs
Founded: 2013
United States
philogb.github.io/jit/
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Company InformationNeo4j
Founded: 2007
United States
neo4j.com
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Alternatives |
Alternatives |
Alternatives |
Alternatives |
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Categories |
Categories |
Categories |
Categories |
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Database Features
Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
NOSQL
Performance Analysis
Queries
Relational Interface
Virtualization
NoSQL Database Features
Auto-sharding
Automatic Database Replication
Data Model Flexibility
Deployment Flexibility
Dynamic Schemas
Integrated Caching
Multi-Model
Performance Management
Security Management
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Data Visualization Features
Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery
NoSQL Database Features
Auto-sharding
Automatic Database Replication
Data Model Flexibility
Deployment Flexibility
Dynamic Schemas
Integrated Caching
Multi-Model
Performance Management
Security Management
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Integrations
Amazon Web Services (AWS)
ArcadeDB
Assure Security
Astro by Astronomer
Authorizer
Budibase
Cognee
Data Sentinel
Elestio
Hackolade
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Integrations
Amazon Web Services (AWS)
ArcadeDB
Assure Security
Astro by Astronomer
Authorizer
Budibase
Cognee
Data Sentinel
Elestio
Hackolade
|
Integrations
Amazon Web Services (AWS)
ArcadeDB
Assure Security
Astro by Astronomer
Authorizer
Budibase
Cognee
Data Sentinel
Elestio
Hackolade
|
Integrations
Amazon Web Services (AWS)
ArcadeDB
Assure Security
Astro by Astronomer
Authorizer
Budibase
Cognee
Data Sentinel
Elestio
Hackolade
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