Coalesce Catalog
coalesce.io
What it is
Coalesce Catalog is a data catalog for discovering, documenting, and governing assets across a data stack. Its AI-assisted natural-language search covers domains, dashboards, tables, and columns, while automated lineage maps data from sources to BI tools at column level. A metadata-powered semantic layer supports collaborative cataloging and documentation. Governance features include access monitoring and control, sensitive-data classification, role-based controls, and audit trails. Integrations span warehouses, databases, BI tools, and services including Snowflake, Databricks, BigQuery, Tableau, Power BI, dbt, Slack, and Okta. Coalesce says it can document up to 90% of a database in seconds by propagating material from connected tools. Its Public API can read and update metadata such as tables, columns, dashboards, lineage, and quality tests. The free Developer plan includes one user, one project, one environment, and 2,000 monthly actions. Starter costs $150 a month, billed annually, and includes three Catalog integrations. Coalesce lists web and API platforms.
Spec sheet
- What it does
- Coalesce Catalog is a data catalog that helps business and engineering users find, understand and use organizational data.Read 15 Oct 2026 · docs.coalesce.io
- Purpose
- Coalesce Catalog connects across the data stack, documents assets with AI, and keeps lineage, ownership, and definitions current automatically.Read 1 Oct 2026 · coalesce.io
- Audience
- Coalesce Catalog is intended for data engineers and analysts and is designed for everyone in an organization to use without training.Read 1 Oct 2026 · coalesce.io
- Integrations
- Catalog integrations include warehouses and databases such as Snowflake, Databricks, BigQuery, Redshift, PostgreSQL, SQL Server, and Salesforce; BI tools such as Tableau, Power BI, Looker, Sigma, Qlik Sense, and Metabase; Airflow, dbt, Fivetran, Monte Carlo, Soda, Slack, Gmail, Okta, and Google SSO.Read 1 Oct 2026 · coalesce.io
- Security
- Coalesce says it never stores data at rest, encrypts data in motion, and performs production refreshes entirely within the customer’s data platform.Read 1 Oct 2026 · coalesce.io
- Support
- The Starter plan includes onboarding workshops and 24x5 support, while Enterprise and Business Critical include priority support and enhanced service-level agreements.Read 1 Oct 2026 · coalesce.io
- Founded
- 2020Read 28 Sep 2026 · coalesce.io
- AI-assisted discovery
- The product supports natural-language and AI-assisted search across domains, dashboards, tables and columns.Read 15 Oct 2026 · coalesce.io
- API authentication
- API access uses bearer tokens with administrator-selectable Read Only or Read & Write scope, and separate EU and US base URLs.Read 15 Oct 2026 · docs.coalesce.io
- API tooling
- The documentation provides a GraphQL reference with Try it panels and the application includes an API playground with autocomplete.Read 15 Oct 2026 · docs.coalesce.io
- Authentication
- Coalesce supports Snowflake OAuth with periodically rotating access tokens and describes it as the preferred authentication method.Read 1 Oct 2026 · docs.coalesce.io
- Browser extension
- The Catalog extension works with Chrome and Edge and exposes metadata such as descriptions, owners and popularity inside supported BI tools and SQL editors.Read 15 Oct 2026 · docs.coalesce.io
- Cloud and CLI deployment
- The security documentation describes a cloud deployment model and an on-premise coa CLI for running transformations on customer infrastructure.Read 15 Oct 2026 · docs.coalesce.io
- Column lineage
- Catalog automatically maps lineage at column level from data sources through business-intelligence tools.Read 15 Oct 2026 · coalesce.io
- Company founding
- LinkedIn lists Coalesce.io as founded in 2020.Read 15 Oct 2026 · linkedin.com
- Company headquarters
- LinkedIn lists Coalesce.io headquarters in San Francisco, California.Read 15 Oct 2026 · linkedin.com
- Company history
- Coalesce’s company timeline says it acquired CastorDoc and introduced Coalesce Catalog in 2025.Read 1 Oct 2026 · coalesce.io
- Company legal name
- The documentation copyright identifies the maker as Coalesce Automation, Inc.Read 15 Oct 2026 · docs.coalesce.io
- Company size
- LinkedIn places Coalesce.io in the 51–200 employee size band.Read 15 Oct 2026 · linkedin.com
- Data discovery
- Catalog searches domains, dashboards, tables, and columns with AI assistance and natural-language search.Read 1 Oct 2026 · coalesce.io
- Data handling
- For browser Snowflake queries, Coalesce says SQL results are not stored and only the first 100 rows are returned to the browser for display.Read 15 Oct 2026 · docs.coalesce.io
- Documentation coverage
- Coalesce Catalog says it can document up to 90% of a database in seconds by propagating documentation from several tools.Read 1 Oct 2026 · coalesce.io
- Documentation depth
- The documentation site includes user guides, onboarding, integrations, administration, developer material, API references, support content and a changelog.Read 15 Oct 2026 · docs.coalesce.io
- Extension coverage
- The extension currently covers Domo, Looker, Looker Studio, Metabase, Power BI, Sigma, Strategy, Tableau and Qlik; Snowflake and BigQuery are listed as coming soon.Read 15 Oct 2026 · docs.coalesce.io
- Funding
- The company timeline says Coalesce raised $26 million in Series A funding in 2022 and $50 million in Series B funding in 2024.Read 15 Oct 2026 · coalesce.io
- G2 Catalog review volume
- The G2 seller page lists Coalesce Catalog (formerly CastorDoc) with 64 reviews.Read 15 Oct 2026 · g2.com
- Governance
- The product includes controls for data access, governance, ownership, definitions and audit-oriented management.Read 15 Oct 2026 · coalesce.io
- Limit: chat workflow
- A Gartner Catalog reviewer says the product lacks an internal chat workflow, relying instead on integrations such as Slack and planned Teams support.Read 15 Oct 2026 · gartner.com
- Limit: custom metadata
- A Gartner Catalog reviewer reports that users cannot create custom metadata columns and that field-level metadata has some proliferation limits.Read 15 Oct 2026 · gartner.com
- Lineage
- Catalog automatically maps end-to-end data lineage at the column level from data sources to BI tools.Read 1 Oct 2026 · coalesce.io
- Marketplace
- Catalog includes a separate Marketplace interface for publishing curated, production-ready data products to business consumers.Read 15 Oct 2026 · docs.coalesce.io
- MCP authorization
- The MCP server uses OAuth and applies Catalog role-based permissions so connected assistants see only assets allowed for the signed-in user.Read 15 Oct 2026 · docs.coalesce.io
- MCP integration
- Catalog exposes regional remote MCP endpoints that can be connected to Claude Desktop, Cursor and Dust.Read 15 Oct 2026 · docs.coalesce.io
- Metadata semantic layer
- Catalog combines metadata, collaborative cataloging and automated documentation into a metadata-powered semantic layer.Read 15 Oct 2026 · coalesce.io
- Notable news
- Coalesce announced its acquisition of CastorDoc and the introduction of Coalesce Catalog on March 19, 2025.Read 15 Oct 2026 · coalesce.io
- Operational limitation
- The extension documentation notes that embedded dashboards in some iframe-based hosts may prevent the extension from injecting its panel.Read 15 Oct 2026 · docs.coalesce.io
- Popularity scoring
- Catalog calculates popularity scores for tables so frequently useful assets are easier to identify.Read 15 Oct 2026 · docs.coalesce.io
- Praise: Catalog experience
- The Gartner Catalog reviewer praises its lightweight cloud design, intuitive lineage and search, broad integrations, technical support and low cost.Read 15 Oct 2026 · gartner.com
- Praise: modular development
- G2 reviewers praise reusable standard and custom node types, bulk editing and modular pipelines for reducing development effort.Read 15 Oct 2026 · g2.com
- Praise: usability
- G2 reviewers describe Coalesce’s interface as easy to use, easy to explain to nontechnical users and quick to set up.Read 15 Oct 2026 · g2.com
- Public API
- Catalog provides a GraphQL Public API for reading and updating metadata including tables, columns, dashboards, lineage and quality tests.Read 15 Oct 2026 · docs.coalesce.io
- Query context
- Catalog extracts query metadata and lists related queries for tables to help users understand origins and reuse analysis patterns.Read 15 Oct 2026 · docs.coalesce.io
- Rating on G2
- 4.7 out of 5 from 105 reviews for the Coalesce vendor profile.Read 15 Oct 2026 · g2.com
- Rating on Gartner Peer Insights
- 5.0 out of 5 from 1 review for Coalesce Catalog.Read 15 Oct 2026 · gartner.com
- Security transport
- Coalesce states that communications use HTTPS/TLS encryption.Read 15 Oct 2026 · docs.coalesce.io
- Semantic layer
- Catalog provides a metadata-powered semantic layer with collaborative cataloging and automated documentation.Read 1 Oct 2026 · coalesce.io
- Supported platforms
- Coalesce supports Snowflake, Databricks SQL, Microsoft Fabric, Google BigQuery, and Amazon Redshift in private preview.Read 1 Oct 2026 · coalesce.io
- Warehouse integrations
- Documented connectors include Amazon S3, Salesforce, AWS Glue, Amazon Athena, MariaDB, Databricks, Azure Synapse, Snowflake, PostgreSQL, BigQuery, Redshift and SQL Server.Read 15 Oct 2026 · coalesce.io
Plans and prices
Strong points and limits
Strong points
- AI-assisted search spans domains, dashboards, tables, and columns
- Maps lineage at column level
- Public API reads and updates metadata
- Free Developer plan includes 2,000 monthly actions
Limits
- Developer plan is limited to one user
- Developer plan allows one project and environment
- Starter is $150 a month, billed annually
- Starter includes three Catalog integrations
Who it suits
It is intended for data engineers and analysts, while Coalesce says it is designed for organization-wide use without training. Teams needing lineage, metadata documentation, and data-access controls may find its scope relevant.
Coalesce Catalog in depth
Read the full write-up
Coalesce Catalog is a cloud catalog for finding, documenting, and governing data across a connected data stack. It is best suited to data teams that need shared context across warehouses, pipelines, and BI tools. Its broad scope is attractive, but small teams should weigh the strict caps on the free plan and Starter tier against their integration and usage needs.
Overview
Catalog brings discovery, lineage, documentation, and governance together rather than treating metadata as a search index alone. Data engineers and analysts are its core audience, while shared cataloging is designed for wider organizational use without training. That breadth makes it a plausible central layer for teams whose data assets span many systems; it is less compelling if the need is limited to one narrow workflow.
Key features
AI-assisted natural-language search covers domains, dashboards, tables, and columns, giving users several ways to locate assets. Automated documentation propagates context from connected tools, and Coalesce says it can document up to 90% of a database in seconds. That could reduce repetitive catalog maintenance, though the practical value rests on what connected systems can supply.
Lineage maps dependencies at the column level from data sources through to BI tools. Pipeline and report lineage, along with impact analysis, help teams trace downstream consequences rather than stopping at table relationships. For organizations managing change across multiple layers, this is a meaningful strength.
A metadata-powered semantic layer combines collaborative cataloging and automated documentation. Governance adds data-access monitoring and control, sensitive-data classification, modular role-based controls, and detailed audit trails. Together, these capabilities serve teams that need both shared definitions and oversight, although the tier limits on actions and integrations constrain how much of the stack can be brought in at lower prices.
Catalog integrations span warehouses and databases including Snowflake, Databricks, BigQuery, Redshift, PostgreSQL, SQL Server, and Salesforce; BI tools including Tableau, Power BI, Looker, Sigma, Qlik Sense, and Metabase; and services such as Airflow, dbt, Fivetran, Monte Carlo, Soda, Slack, Gmail, Okta, and Google SSO. The Public API can read and update metadata for tables, columns, dashboards, lineage, and quality tests, with bearer-token authentication and Read Only or Read & Write scopes.
Coalesce says it does not store data at rest, encrypts data in motion, and runs production refreshes within the customer’s data platform. Snowflake OAuth uses periodically rotating access tokens and is described as the preferred authentication method. Coalesce supports Snowflake, Databricks SQL, Microsoft Fabric, Google BigQuery, and Amazon Redshift in private preview.
Pricing
The Developer plan is free and includes one user, Transform and Quality, 2,000 capped monthly actions, one project, and one environment. It is a useful way for an individual to start, but one seat and a hard action cap make it a poor fit for shared catalog use.
Starter costs $150 a month billed annually. It allows up to 4 Transform users, 15,000 actions/month, 3 Catalog integrations, one project, and one environment, with full Transform, Catalog, and Quality access plus 24x5 support. The added seats and capacity suit a small team, but the integration ceiling and single project and environment may force compromises as coverage expands.
Enterprise has custom pricing and includes 5+ Transform users, 100,000 actions/month, 5 Catalog integrations, unlimited projects and environments, full access to Transform, Catalog, and Quality, priority support, enhanced SLAs, and SSO. It is the more natural fit for teams needing multiple environments or formal support, though its five-integration cap remains relevant. Business Critical also has custom pricing and adds Private Networks, a BAA (HIPAA-ready), advanced security and compliance, and custom deployment requirements to everything in Enterprise.
A 30-day trial is available. The annual billing term on Starter matters for buyers comparing its monthly price with the free option.
Platforms
Catalog is available on web and through an API, with cloud deployment. The supported platform set is Snowflake, Databricks SQL, Microsoft Fabric, Google BigQuery, and Amazon Redshift in private preview. The customer-platform refresh model and stated data-handling approach will appeal to teams keeping production work within their data platform.
Who it's for
Choose Coalesce Catalog if your data engineers and analysts need a shared catalog spanning discovery, column-level lineage, documentation, and governance, and your organization can work within the integrations and action allowances of its plan. It is a stronger fit for teams ready to invest in a connected data layer than for individuals who only need basic asset lookup.
Pros and cons
Pros: Column-level, pipeline, and report lineage plus impact analysis give teams several ways to understand dependencies and change effects.
Pros: Discovery, automated documentation, semantic cataloging, and governance sit in one product, with a broad mix of data-stack integrations.
Pros: The free Developer plan offers a no-cost entry point, and the Public API supports both reading and updating metadata.
Cons: Developer is limited to one user, one project, one environment, and 2,000 monthly actions, limiting its use as a collaborative catalog.
Cons: Starter requires annual billing and restricts teams to three Catalog integrations, one project, and one environment.
Cons: Enterprise still caps Catalog integrations at five; Business Critical is needed for private networks and advanced security and compliance provisions.
Alternatives
For a wider comparison, browse Data Lineage Tools or Data Transformation Tools. Choose Atlas if an open-core migration tool with an Apache 2.0 core is the priority. OpenDataDiscovery Platform is a free, open-source alternative. Pick Grai if fully open-source, self-hosted software and control over hosting are central. Databricks Notebooks offers a free web edition with one serverless workspace and limited compute. Egeria is another free option. Apache Atlas is free metadata governance software. Consider Collate if its open-source core and community-licensed UI and connectors suit your deployment. Alex Solutions is a paid enterprise platform with annual billing and unlimited users and sources.
Verdict
Coalesce Catalog is a strong choice for data teams that want discovery, fine-grained lineage, documentation, and governance in a single cloud catalog. Its main advantage is the breadth of context it can connect across a data stack; its main drawback is that even paid tiers limit Catalog integrations, while the free plan is too small for most team deployments. Start with Developer for an individual evaluation, but look elsewhere if your team needs broader integration coverage without tier constraints.
Verdict
Coalesce Catalog combines discovery, lineage, documentation, and governance with broad listed integrations. The free plan has explicit user, project, environment, and action limits; Starter adds capacity and costs $150 a month billed annually.
Where Specifiction places it
- Data Lineage Tools#2 of 439.1
- Data Warehouse Automation Software#1 of 138.8
- Data Transformation Tools#3 of 379.1
- Data Preparation for Analytics#2 of 229.1