Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
No
API Access
Has API
No
Integrations
Amazon Web Services (AWS)
No
Docker
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
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
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
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
No
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
Yes
Analytics
Yes
Customer Segmentation
Yes
Dashboard
Yes
Feedback Management
Yes
Knowledge Management
No
Multi-Channel Collection
No
Sentiment Analysis
No
Survey Management
No
Text Analysis
No
Trend Analysis
No
Customer Success
Account Alerts
Yes
Account Management
Yes
Communication Management
Yes
Customer Engagement
Yes
Customer Lifecycle Management
Yes
Health Score
Yes
Onboarding
Yes
Revenue Management
Yes
Usage Tracking / Analytics
Yes
Win / Loss Analysis
No