Metaphor is a modern data catalog that utilizes AI-driven metadata management and social data intelligence to enhance data discovery and governance across organizations. It enables users to efficiently locate trusted data, understand data lineage, and facilitate collaboration, thereby improving data accessibility and decision-making for both technical and non-technical teams.
Funding
$5.3M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Organizations struggle to efficiently discover, understand, and govern their data assets due to fragmented metadata, lack of collaboration, and difficulty in tracing data lineage. This leads to reduced data accessibility, slower decision-making, and increased risks related to data quality and compliance.
Solution
Metaphor provides an AI-powered data catalog that enhances data discovery and governance through metadata management and social data intelligence. The platform connects business users and AI applications with company data, accelerating the time to value for AI solutions. It creates a unified digital experience by blending business, technical, and social metadata from across the data estate, enabling efficient data distribution and AI product development across teams.
Target Audience
Metaphor is designed for data engineers, analytics engineers, subject matter experts, data stewards, business analysts, BI users, product teams, and data scientists seeking to build and maintain a self-service data platform and improve data literacy across the organization.
Features
- AI-driven metadata extraction and management for automated documentation
- Column-level lineage tracking to trace data transformations and dependencies
- Social platform features to facilitate collaboration and knowledge sharing among data teams and consumers
- AI-powered data discovery with intelligent recommendations for faster, more accurate decision-making
- Governance tags for structuring data based on curation, domain, or product
- Integrations with existing data stacks, including AWS Redshift, Google BigQuery, Snowflake, and dbt
- Data-aware live wiki for capturing and sharing company data details
- Built-in Slack and Teams integration for seamless access and collaboration