We make data accessible, trustworthy, and useful — from the creators of LinkedIn's DataHub.
Highly intuitive ways to find business or technical data, making even the non-technical user a power user of the catalog.
Basic and Advanced Search makes finding data easy.
Explore and locate assets at different levels of the schema.
Organic discovery of data with social hashtags.
Easily find data assets, like datasets and dashboards, and business or technical terms across your entire data stack. Search with specially crafted search operators to pinpoint and answer very specific questions about your data with just a few clicks.
Explore and expand your technical schema to help you get to the right section or asset within clicks. Boost your team's efficiency by easily viewing schema-level assets by jumping from the asset hierarchy to list view where users can futrher filter and bulk apply special attributes.
Crowd sourced Social Hashtags facilitate organic discovery of data or conversations about it, and compliment more structured tags for Governance. Browse trending hashtags to cross-collaborate and stay informed of data conversations and projects.
Highly accessible documentation for the business or technical user that stays up-to-date and relevant with minimal effort.
Rich text wiki with live listings of assets in your data stack.
Access rich conversations about data in one place.
Meet users where they are and help them talk about data.
The data people need to know lives all over the place. From Google Docs and Slack threads, to inside other apps and in the minds of your best and brightest. Metaphor captures all of your company’s data details in a single Document that is accessible by all users.
Metaphor transforms tid-bits into knowledge. When information is easily surfaced, and is verified by experts, it becomes something much more powerful: Knowledge. Capture tribal knowledge, boost effectiveness, and free data users from wasting time hunting down information.
Meet your users where they are. Easily search for data or knowledge, receive important alerts, and share commonly used data artifacts directly on Slack or Microsoft Teams. Capture knowledge natively from Slack and Teams into Metaphor to further build internal data context and details.
Power tools for the technical user to easily govern the organization's data and troubleshoot problems with an added dimension of social signals.
Enable top-down or bottom-up data governance schemes at the table and column level.
Get your questions and answers addressed fast with assigned contacts.
Lineage you can easily explore with existing and custom assets.
Structure your data the way that works for your organization with Metaphor's highly flexible Governance tags. Whether it's curation-, domain- or product-based, users can find all tagged assets, including datasets and documents, in one click.
Easily assign your data experts as contacts in Metaphor to and help your users get their most important data questions answered within minutes. Help facilitate conversations about data so that everyone on your team can access it and no detail is ever lost.
Explore table or column-level lineage to conduct quick troubleshooting or understand the impact analysis of changing your data. Easily view social and behavioral signals to further analyze the lineage and assess your data's usage.
Metaphor integrates with the modern metadata stack for a seamless technical and business experience.
Get the 360 degree view of your data, no matter what team you are on
Our SOC2 compliant, single tenent SaaS service is available in your region or in your VPC.
No limits on data environment size or users. Built to improve upon Linkedin DataHub's battle -hardened architecture.
Metaphor has no direct access to your systems, and never touches your data. It's built to be a service that is SOC 2 compliant.
Our support and customer success team is ready to help you whenever you need it.
Metaphor is a powerful tool for Data Teams, but more importantly is a highly effective yet simple tool for Consumers of data across the whole company.
Data Engineers, Analytics Engineers, Subject Matter Experts, Data Stewards - building and maintaining a self-service data platform.
Business Analysts, BI Users, Product Teams, Data Scientists - and any other roles across the company who consume data.
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