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What is Metaphor?

By automating the indexing of warehouses, lakes, dashboards, and other elements within your data ecosystem, Metaphor significantly improves data visibility through the integration of utilization metrics, lineage tracking, and indicators of social popularity, ensuring that the most dependable data is presented to your audience. This holistic perspective on data encourages organizational discussions and guarantees that critical information is easily accessible to all team members. Engage effectively with clients by sharing catalog artifacts and documentation directly through Slack, allowing for seamless communication. Additionally, you can tag important discussions in Slack and associate them with specific data points, which encourages collaboration and aids in the organic discovery of relevant terms and usage patterns, thereby dismantling communication barriers. Navigating through your entire data stack becomes a straightforward task, enabling the creation of both detailed technical documentation and user-friendly wikis tailored for non-technical users. You can also offer users direct support via Slack while utilizing the catalog as a Data Enablement tool, thus refining the onboarding experience for a more customized approach. Ultimately, this strategy not only boosts data accessibility but also significantly enhances the data literacy across your organization, empowering all members to make informed decisions. By fostering an environment of collaboration, Metaphor helps build a data-driven culture within your workplace.

What is Azure Data Catalog?

In the current environment driven by data, the search for relevant information often takes more time than the analysis itself. Azure Data Catalog acts as a versatile metadata repository tailored for organizations, streamlining the identification of data resources. This fully-managed platform accommodates a diverse array of users—including analysts, data scientists, and developers—allowing them to register, improve, locate, understand, and leverage various data sources. You can utilize your preferred tools, as Data Catalog aids in the discovery and use of the data you need. Your data remains securely stored in your chosen locations, while Data Catalog assists in effortless access and management through a user-friendly interface. By encouraging broad usage and promoting ongoing value creation within the data ecosystem, Data Catalog enables users to exchange insights, advice, and best practices, fostering a collaborative environment where everyone can gain advantages. This solution not only democratizes the discovery of data assets but also ensures that all users can participate in the process meaningfully. Such a strategy enhances cooperation and contributes to a richer overall data landscape within organizations, ultimately driving innovation and informed decision-making.

Media

Media

Integrations Supported

Google Cloud Platform
Amazon Redshift
Amazon Web Services (AWS)
Looker
Microsoft Power BI
PostgreSQL
Soda
Tableau

Integrations Supported

Google Cloud Platform
Azure API Management
Azure Cosmos DB
Azure DDoS
Azure Key Vault
Data Sentinel
Kubernetes
Microsoft 365
Microsoft Azure
NetApp StorageGRID
Olono
Peaka
Salesforce

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

$1 per user per month
Free Version
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS
Windows

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Metaphor Data

Date Founded

2020

Company Location

United States

Company Website

metaphor.io

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

azure.microsoft.com/en-us/services/data-catalog/

Categories and Features

Data Collaboration

Not specified

Data Management

Not specified

Metadata Management

Not specified

Categories and Features

Data Catalog

Not specified

Metadata Management

Not specified

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