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Average Ratings 0 Ratings

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ease
features
design
support

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Description

Business partnerships rely on the mutual expectation of value among suppliers, buyers, and various stakeholders. As individual one-to-one interactions evolve into broader ecosystems, the collaborative efforts of multiple businesses become essential for innovation along the entire value chain. Organizations are perpetually striving to generate new value, and effective innovation hinges on collaboration with numerous other enterprises, ensuring that all parties are aligned in their contributions to value creation. However, a significant barrier exists, as current enterprise software tends to concentrate on the internal processes of single companies. These isolated and disconnected systems hinder the necessary alignment among multiple stakeholders needed for effective value generation. By engaging in a sustained digital environment, companies can foster ongoing alignment with other businesses within their ecosystem—encompassing customers, suppliers, and additional stakeholders—thus enhancing the management of anticipated value from these partnerships. This continuous digital collaboration not only streamlines communication but also facilitates a more dynamic approach to value creation across the ecosystem.

Description

To fully appreciate the significance of ever-changing business data, it is essential to grasp the intricate connections within that data on a deeper level. In contrast to traditional databases, a graph database prioritizes these relationships, employing Graph theory and Linear Algebra to navigate and illustrate the interconnections among complex data networks, sources, and points. The TIBCO® Graph Database empowers users to uncover, store, and transform intricate dynamic data into actionable insights. This platform enables users to swiftly create data and computational models that foster dynamic interactions across various organizational silos. By leveraging knowledge graphs, organizations can derive immense value by linking their diverse data assets and uncovering relationships that enhance the optimization of resources and workflows. Furthermore, the combination of OLTP and OLAP capabilities within a single, robust enterprise database provides a comprehensive solution. With optimistic ACID transaction properties integrated alongside native storage and access, businesses can confidently manage their data-driven operations. Ultimately, this advanced technology not only simplifies data management but also paves the way for innovative decision-making processes.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS)
Docker

Integrations

Amazon Web Services (AWS)
Docker

Pricing Details

No price information available.
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

MetaCX

Founded

2018

Country

United States

Website

www.bolstra.com

Vendor Details

Company Name

TIBCO

Founded

1997

Country

United States

Website

www.tibco.com/products/tibco-graph-database

Product Features

Customer Experience

Action Management
Analytics
Customer Segmentation
Dashboard
Feedback Management
Knowledge Management
Multi-Channel Collection
Sentiment Analysis
Survey Management
Text Analysis
Trend Analysis

Customer Success

Account Alerts
Account Management
Communication Management
Customer Engagement
Customer Lifecycle Management
Health Score
Onboarding
Revenue Management
Usage Tracking / Analytics
Win / Loss Analysis

Product Features

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Alternatives

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