Data Catalog

A data catalog is a centralized inventory of all your data assets, providing metadata, lineage, and governance information. It helps organizations discover, understand, and trust their data by providing a single source of truth for data assets, making it easier for teams to find and use the right data for their needs.

Dataverses data catalog seamlessly integrates with popular data sources including databases, data lakes, warehouses, and cloud platforms. Our platform provides native connectors for AWS, Azure, GCP, Snowflake, Databricks, and many others, with automatic metadata discovery and lineage tracking.

Our data catalog captures comprehensive metadata including technical metadata (schema, data types, constraints), business metadata (descriptions, tags, ownership), operational metadata (usage statistics, quality metrics), and lineage metadata (data flow and transformations).

Data lineage in our catalog automatically tracks data flow from source to destination, showing how data moves through your systems, what transformations are applied, and dependencies between datasets. This helps with impact analysis, compliance, and understanding data relationships.

Yes! Our data catalog includes comprehensive governance features including data classification, access controls, privacy policies, and compliance frameworks. You can define data quality rules, set up approval workflows, and ensure regulatory compliance across your data assets.

Our catalog provides powerful search and discovery capabilities including semantic search, AI-powered recommendations, and intelligent tagging. Users can find relevant datasets using natural language queries, browse by business domain, or discover data through relationship mapping.

The catalog includes rich collaboration features such as data asset comments, ratings, reviews, and knowledge sharing. Teams can document data usage patterns, share insights, and build a collective understanding of your data landscape.

Our catalog monitors data quality through automated checks, profiling, and validation rules. It tracks quality metrics over time, identifies anomalies, and provides alerts when data quality issues are detected, helping maintain trust in your data assets.

Absolutely! Our data catalog is highly customizable with configurable metadata models, custom attributes, business glossaries, and organization-specific taxonomies. You can tailor the catalog to match your data governance framework and business requirements.

Getting started is simple! Connect your data sources, run our automated discovery process, and start exploring your data landscape. We provide guided setup, best practices documentation, and migration tools to help you get your catalog up and running quickly.