Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
With automated indexing of warehouses, lakes, dashboards, and various components of your data ecosystem, Metaphor enhances data visibility by integrating utilization metrics, lineage tracking, and social popularity indicators to present the most reliable data to your audience. It fosters a comprehensive view of data and facilitates discussions about it across the organization, ensuring that everyone has access to crucial information. Engage with your clients by seamlessly sharing catalog artifacts, including documentation, directly within Slack. You can also tag meaningful conversations in Slack and link them to specific data points. This promotes collaboration by enabling the organic discovery of key terms and usage patterns, breaking down silos effectively. Discovering data throughout your entire stack becomes effortless, and you can create both technical documentation and user-friendly wikis that cater to non-technical stakeholders. Furthermore, you can provide direct support to users in Slack and leverage the catalog as a Data Enablement tool, streamlining the onboarding process for a more tailored user experience. Ultimately, this approach not only enhances data accessibility but also strengthens the overall data literacy within your organization.
Description
QEDIT stands as a robust, enterprise-focused platform designed for cross-organizational data collaboration, tailored for the evolving landscape of the data economy. By utilizing cutting-edge privacy-enhancing technologies, we enable businesses to effectively monetize their data assets, refine their analytics processes, and extract actionable insights from secondary sources while ensuring a risk-free environment. Our cloud-hosted solution is highly scalable and integrates smoothly with existing legacy database systems, allowing for quick implementation. With features such as a customizable dashboard, advanced reporting capabilities, and real-time notifications, QEDIT delivers essential, timely intelligence for your business needs. This platform not only supports regulatory-compliant data sharing but also fosters growth, reduces risks, and addresses intricate business challenges. Ultimately, QEDIT equips companies with the tools necessary to collaborate securely and leverage external data insights without compromising confidentiality. By facilitating these connections, QEDIT transforms the way organizations approach data sharing and utilization in a competitive market.
API Access
Has API
No
API Access
Has API
Yes
Integrations
PostgreSQL
Yes
Slack
Yes
Amazon Web Services (AWS)
Yes
Apache Kafka
No
Gmail
No
Google Cloud Platform
Yes
Google Sheets
No
Looker
Yes
MetaMask
No
Microsoft Dynamics 365
No
Integrations
PostgreSQL
Yes
Slack
Yes
Amazon Web Services (AWS)
No
Apache Kafka
Yes
Gmail
Yes
Google Cloud Platform
No
Google Sheets
Yes
Looker
No
MetaMask
Yes
Microsoft Dynamics 365
Yes
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)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
No
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Metaphor Data
Founded
2020
Country
United States
Website
metaphor.io
Vendor Details
Company Name
QEDIT
Founded
2016
Country
Israel
Website
qed-it.com/product-overview/
Product Features
Data Management
Customer Data
No
Data Analysis
No
Data Capture
No
Data Integration
No
Data Migration
No
Data Quality Control
No
Data Security
No
Information Governance
No
Master Data Management
No
Match & Merge
No
Product Features
Data Management
Customer Data
No
Data Analysis
No
Data Capture
No
Data Integration
No
Data Migration
No
Data Quality Control
No
Data Security
No
Information Governance
No
Master Data Management
No
Match & Merge
No