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Description
Apache TinkerPop™ serves as a framework for graph computing, catering to both online transaction processing (OLTP) with graph databases and online analytical processing (OLAP) through graph analytic systems. The traversal language utilized within Apache TinkerPop is known as Gremlin, which is a functional, data-flow language designed to allow users to effectively articulate intricate traversals or queries related to their application's property graph. Each traversal in Gremlin consists of a series of steps that can be nested. In graph theory, a graph is defined as a collection of vertices and edges. Both these components can possess multiple key/value pairs referred to as properties. Vertices represent distinct entities, which may include individuals, locations, or events, while edges signify the connections among these vertices. For example, one individual might have connections to another, have participated in a certain event, or have been at a specific location recently. This framework is particularly useful when a user's domain encompasses a diverse array of objects that can be interconnected in various ways. Moreover, the versatility of Gremlin enhances the ability to navigate complex relationships within the graph structure seamlessly.
Description
Streamlined distributed computing significantly enhances graph-analytics performance without requiring extensive infrastructure changes. By incorporating a broader variety of data for standardization and visualization on the graph, insights can be significantly strengthened. The combination of advancements in both graph and deep learning results in efficiencies that facilitate prompt insights on the largest graphs in existence. Katana Graph equips Financial Services firms with the tools to tap into the vast possibilities offered by graph analytics and AI at scale, enabling everything from real-time fraud detection to comprehensive customer insights. Leveraging breakthroughs in high-performance parallel computing (HPC), Katana Graph’s intelligent platform evaluates risks and uncovers customer insights from massive data sets using rapid analytics and AI capabilities that surpass those of alternative graph technologies. This transformative approach allows organizations to stay ahead of trends and make data-driven decisions with confidence.
API Access
Has API
API Access
Has API
Integrations
Apache Groovy
Docker
G.V() Gremlin IDE
Java
Node.js
Python
Pricing Details
Free
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Apache Software Foundation
Country
United States
Website
tinkerpop.apache.org
Vendor Details
Company Name
Katana Graph
Founded
2020
Country
United States
Website
katanagraph.com
Product Features
Product Features
Big Data
Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates
Data Visualization
Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery