What problem does Coalesce Catalog solve for organizations?
Coalesce Catalog solves the problem of data discovery and governance by enabling AI-driven documentation and self-service analytics. It reduces the time to find data assets from 45 minutes to seconds and decreases data-related Slack pings by 90%, as reported by users. The product addresses the need for trust, control, and efficiency in managing organizational data.
What features and capabilities does Coalesce Catalog offer?
Coalesce Catalog offers an AI assistant for data governance, natural language search for data discovery, and self-service analytics. Its features include autonomy for finding datasets, trust verification for data quality assessments, and efficiency tools like natural language to SQL conversion. It also delivers data catalog, business glossary, data lineage, and security & compliance functionalities.
How is Coalesce Catalog priced or packaged?
The homepage includes a 'Get Demo' and 'Request pricing' button, indicating that pricing information is available upon request. The product does not list specific public prices, suggesting a demo and quote-based sales model.
What is Coalesce Catalog used for, and in what situations?
Coalesce Catalog is used for AI-powered data governance, automated documentation, and self-service analytics to ensure secure data discovery and management. It is employed in situations requiring data cataloging, business glossary creation, data lineage tracking, security, and compliance. Users interact with it to find data sets, verify data trust, and simplify queries using natural language.
Who is Coalesce Catalog designed for?
Coalesce Catalog is designed for organizations with data teams, such as governance and compliance managers, data platform heads, and business intelligence leads. It serves companies with over 500 employees where more than half the staff uses it monthly for data-driven decision-making across skill levels.
5 of 6 research questions are answered for this product. The rest need source evidence we have not collected yet, so they are left unanswered rather than guessed.