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Ratings and Reviews 0 Ratings
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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 Share?
Seamlessly distribute data from multiple sources to other organizations, regardless of its format or volume. You can easily control the information shared, determine who has access, and set the terms for its use. Data Share provides full visibility into your data-sharing relationships via an intuitive interface. With just a few clicks, you can share data or develop your own tailored application using the REST API. This serverless, no-code data-sharing solution removes the necessity for infrastructure setup or ongoing maintenance. Its user-friendly design enables you to manage all your data-sharing activities with ease. The automated features boost productivity and guarantee consistent results. Furthermore, the service is enhanced by Azure's security measures to protect your data during sharing. You can quickly share both structured and unstructured data from various Azure repositories without delay. There is no need to establish infrastructure or manage SAS keys, making the sharing process entirely code-free. You retain authority over data access while defining terms of use that conform to your organizational policies, ensuring both compliance and security throughout the sharing process. This efficient method not only facilitates collaboration within your organization but also protects sensitive information, fostering a culture of secure data management. By utilizing this service, organizations can enhance their operational efficiency and build stronger partnerships.
Integrations Supported
Amazon Redshift
Amazon S3
Amazon Web Services (AWS)
Apache Airflow
Azure Blob Storage
Azure Marketplace
Azure SQL Database
Azure Synapse Analytics
Bobsled
Google Cloud BigQuery
Integrations Supported
Amazon Redshift
Amazon S3
Amazon Web Services (AWS)
Apache Airflow
Azure Blob Storage
Azure Marketplace
Azure SQL Database
Azure Synapse Analytics
Bobsled
Google Cloud BigQuery
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
$0.05 per dataset-snapshot
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
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/products/data-share
Categories and 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
Categories and Features
Big Data
Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates