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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

Screenshots View All

Screenshots View All

Integrations

Amazon Redshift
Amazon S3
Amazon Web Services (AWS)
Apache Airflow
Google Cloud BigQuery
Google Cloud Platform
Looker
Metabase
Microsoft Power BI
Okta
PostgreSQL
Slack
Snowflake
Soda
Tableau
ThoughtSpot
dbt

Integrations

Amazon Redshift
Amazon S3
Amazon Web Services (AWS)
Apache Airflow
Google Cloud BigQuery
Google Cloud Platform
Looker
Metabase
Microsoft Power BI
Okta
PostgreSQL
Slack
Snowflake
Soda
Tableau
ThoughtSpot
dbt

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

Product Features

Alternatives

Alternatives

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