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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
Oracle Enterprise Metadata Management (OEMM) serves as a robust platform for managing metadata. It is capable of harvesting and cataloging metadata from a wide array of sources, such as relational databases, Hadoop, ETL processes, business intelligence systems, and data modeling tools, among others. Beyond merely acting as a repository for metadata, OEMM facilitates interactive searching and browsing of the data, while also offering features like data lineage tracking, impact analysis, and both semantic definition and usage analysis for any asset in its catalog. With its sophisticated algorithms, OEMM integrates metadata from various providers, creating a comprehensive view of the data journey from its origin to its final report or back. The platform's compatibility extends to numerous metadata sources, including data modeling tools, databases, CASE tools, ETL engines, data warehouses, BI systems, and EAI environments, among many others. This versatility ensures that organizations can effectively manage and utilize their metadata across diverse environments.
API Access
Has API
API Access
Has API
Integrations
Amazon Redshift
Amazon S3
Amazon Web Services (AWS)
Apache Airflow
Google Cloud BigQuery
Google Cloud Platform
Looker
Metabase
Microsoft Power BI
Okta
Integrations
Amazon Redshift
Amazon S3
Amazon Web Services (AWS)
Apache Airflow
Google Cloud BigQuery
Google Cloud Platform
Looker
Metabase
Microsoft Power BI
Okta
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
Metaphor Data
Founded
2020
Country
United States
Website
metaphor.io
Vendor Details
Company Name
Oracle
Founded
1977
Country
United States
Website
www.oracle.com/middleware/technologies/enterprise-metadata-management.html
Product Features
Data Management
Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge