Overview

Coalesce Catalog is a metadata catalog for finding, documenting, and governing data across warehouses, BI tools, and pipeline software. It suits data engineers and analysts who need shared discovery and lineage across an existing stack. Its breadth is compelling, but the free plan’s one-user, one-project limits make it a narrow starting point for teams.

Key features

Natural-language search helps users find domains, dashboards, tables, and columns, while automated documentation propagates context from connected tools. Coalesce says it can document up to 90% of a database in seconds; that could reduce manual catalog work, though the result depends on what the connected tools can contribute.

Column-level lineage traces data from source systems to BI tools, with pipeline and report lineage and impact analysis also supported. That combination helps teams understand downstream consequences when data changes, rather than relying only on table-level maps.

The metadata-powered semantic layer combines collaborative cataloging with automated documentation. Governance covers access monitoring and control, sensitive-data classification, role-based controls, and audit trails. These capabilities make Catalog relevant beyond discovery, but the plan limits on integrations and actions mean teams should check whether their intended scope fits their tier.

The Public API can read and update metadata for tables, columns, dashboards, lineage, and quality tests. Bearer-token scopes can be Read Only or Read & Write, giving teams a way to connect catalog metadata to their own workflows. Integrations span major warehouses, databases, BI tools, orchestration and data-quality products, plus Slack, Gmail, Okta, and Google SSO.

Coalesce says it does not store data at rest, encrypts data in motion, and performs production refreshes inside the customer’s data platform. Snowflake OAuth uses periodically rotating access tokens and is the preferred authentication method.

Pricing

The freemium Developer plan costs 0.00 USD per free. It includes one user, Transform and Quality, 2,000 capped monthly actions, one project, and one environment. It is useful for an individual evaluating the broader platform, but the one-user cap and lack of included Catalog access make it a limited way to assess Catalog with a team.

Starter costs 150.00 USD per month, billed annually. It allows up to four Transform users, 15,000 actions per month, three Catalog integrations, one project, and one environment, with full Transform, Catalog, and Quality access. Onboarding workshops and 24x5 support add help for teams adopting the suite; the annual billing term and three-integration cap are important constraints for buyers with larger stacks.

Enterprise has custom pricing and includes five or more Transform users, 100,000 monthly actions, five Catalog integrations, unlimited projects and environments, full access, SSO, priority support, and enhanced SLAs. Business Critical also has custom pricing, adding private networks, a BAA (HIPAA-ready), advanced security and compliance, and custom deployment requirements. Coalesce offers a 30-day trial; the plan terms provided do not state renewal conditions.

Platforms

Catalog is available via API and web, and deployment is cloud. Coalesce supports Snowflake, Databricks SQL, Microsoft Fabric, and Google BigQuery, with Amazon Redshift in private preview. Buyers should verify that their warehouse and integration needs fit the supported platforms and their plan’s integration allowance.

Who it's for

Catalog is best suited to data engineering and analytics teams that want discovery, documentation, lineage, and governance in one metadata layer across multiple tools. Its stated aim of serving everyone in an organization without training is a useful ambition for broad adoption, while the tier caps make Starter a more natural fit for a bounded team than a sprawling enterprise stack.

Coalesce’s company timeline says it acquired CastorDoc and introduced Catalog in 2025. Teams evaluating a newer product should weigh the scope of its stated capabilities against the fit of its integrations, platform support, and chosen plan.

Pros and cons

Pro: Column-level lineage, impact analysis, and pipeline and report lineage give teams a fuller view of how data moves and where it is used.
Pro: A metadata API with read and write scopes can support workflows beyond the catalog interface.
Pro: Governance controls, audit trails, and in-platform production refreshes address security and operational concerns alongside discovery.
Con: Developer has one user, one project, one environment, and no included Catalog access, limiting its value for evaluating catalog collaboration.
Con: Starter’s three integrations and single project and environment may constrain teams with broader or separated deployments.
Con: Enterprise and Business Critical require custom pricing, so larger organizations cannot compare their costs from the plan figures alone.

Alternatives

For a wider survey of transformation products, start with the Data Transformation Tools directory; for products centered on lineage, see Data Lineage Tools.

Choose Prophecy if its freemium model and Starter tier with 20 monthly credits, embedded DuckDB processing, and a public SaaS environment better match a credit-based starting point. Consider Cube when a semantic-layer platform with API, Linux, self-hosted, and web options is a closer fit. Dataform is a free option for BigQuery pipeline work, though queries and related execution services may incur charges.

dbt Semantic Layer is worth comparing when its Developer tier’s one seat, 3,000 successful models per month, and one project suit the team’s needs. Pick Polars for an open-source data manipulation library rather than a catalog. Apache Beam is a free open-source programming model whose execution costs depend on the runner and infrastructure. Bruin for Customer Success offers a free cloud tier with $100 in credits and 50 AI tasks, without a credit card. Ibis is another free option with API and self-hosted platforms.

Verdict

Coalesce Catalog is a strong fit for data teams seeking a shared metadata layer that joins discovery, automated documentation, column-level lineage, governance, and API access across their stack. Choose it when those combined capabilities justify Starter’s annual commitment and integration cap, or when a custom-priced tier meets enterprise requirements. Look elsewhere if you need broad team access on a free plan, more than three integrations at Starter, or a product focused on a narrower task.

	CastorDoc	Coalesce Catalog
Free plan	No	Yes
Free trial	Yes	Yes
Paid from	—	$150/mo
Open source	No	No
Platforms	api, extension, Web	api, Web
Free plan	No	Yes
Automated discovery	Yes	Yes
Column-level lineage	Yes	Yes
Impact analysis	Yes	Yes
Pipeline lineage	Yes	Yes
Report lineage	Yes	Yes
Deployment	cloud	cloud

CastorDoc vs Coalesce Catalog

CastorDoc

Coalesce Catalog