Coalesce Catalog

O que é Coalesce Catalog?

Coalesce Catalog is an AI-assisted data catalog designed to make an organization’s data assets easier to find, understand, and use. It combines searchable data documentation and business context with lineage and governance capabilities, helping analysts and other employees explore data while keeping reliability, access, and compliance concerns in view. The catalog connects to a data stack to ingest metadata, and includes a data assistant for natural-language search and SQL support.

O que Coalesce Catalog pode fazer?

Metadata ingestion and documentation

Connect the catalog to a data stack to ingest metadata and automate documentation, reducing the need to document every asset manually.

Natural-language discovery

Search for datasets and metrics using plain language, with AI-assisted results intended to help users find relevant assets without relying on exact technical names.

Business glossary and context

Organize data catalog entries alongside business terminology so teams can relate technical assets to the terms used in their work.

Lineage across assets

View column-level lineage and a higher-level picture of data pipelines to understand how data is connected and assess the downstream effects of changes.

Data trust signals

Review data trust assessments, AI-driven quality evaluations, and usage frequency to help judge asset reliability and relevance.

SQL assistance

Convert natural-language requests into SQL and get help formulating queries.

Casos de uso

“Help analysts locate usable data”

Business and analytics users can search for datasets or metrics in plain language rather than depending on a data specialist to identify each asset.

“Orient employees to unfamiliar data”

Teams can use catalog documentation, glossary terms, and lineage to understand an asset’s business meaning and how it fits into broader data workflows.

“Assess data before using it in reporting”

Analysts can consult trust assessments, quality evaluations, and usage frequency when deciding whether an asset is suitable for an analysis.

“Investigate the impact of a data change”

Data teams can follow column lineage and pipeline relationships to identify assets that may be affected by an upstream change.

“Reduce routine query support”

Teams can use natural-language-to-SQL assistance to formulate queries against organizational data.

Perguntas frequentes

What happened to CastorDoc?

CastorDoc was acquired by Coalesce and renamed Coalesce Catalog. The official announcement says existing customers kept the same product experience and functionality.

How does the catalog get information about data assets?

Integrations sync metadata from your data stack into the catalog, where teams can organize documentation, business terminology and lineage.

Can people search without knowing technical table names?

Yes. The catalog supports plain-language search for datasets and metrics and provides natural-language-to-SQL assistance.

Does it show how data assets are connected?

Yes. Column-level lineage and a higher-level pipeline view help teams inspect dependencies and downstream effects.

Is Catalog free, and how is it purchased?

Catalog is included in paid Coalesce plans. Starter includes three Catalog integrations, while Enterprise includes five; additional integrations are arranged with sales. The free Developer plan includes Transform and Quality. Production Catalog asset refreshes count as actions toward the plan allowance.

Informações rápidas