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Enterprise Layer Intelligence
Categories/Data Platform & Integration/Coalesce.io
Coalesce.io

Coalesce.io

Founded 2020

Build, automate, and govern cloud data warehouse pipelines

Pricing model

Free Tier, Paid

You can use Coalesce to design, automate, and govern data transformations in cloud data warehouses like Snowflake, Databricks, and Google BigQuery. It gives your team a visual interface alongside direct code access, letting you build models, maintain column-level lineage, and automatically document your assets. Coalesce also monitors data quality and pinpoints breaking changes before deployments reach production. Both human engineers and automated agents can work within the same shared rules, helping organizations migrate legacy pipelines quickly, reduce warehouse compute expenses, and keep data models consistent.

What Coalesce.io does

Design visual data transformation modelsInspect downstream data lineage before deploying schema changesGenerate automated documentation for data catalogsSet up automated tests to validate table schemas and data qualityDeploy data transformation pipelines using Git version controlSchedule automated batch transformation runsVisual pipeline design with direct code accessColumn-level data lineage tracking across tablesAutomated documentation generation for warehouse assetsPre-deployment impact analysis to catch breaking changesIntegrated pipeline data quality testing and monitoringMetadata-driven transformation for standardized SQL generation

Pricing breakdown

Pricing model: Free tier, Paid

PlanList price
DeveloperFree
Starter (per user) (annual billing)$150 / mo, billed annually

Frequently asked

SnowflakeSnowflakeDatabricksDatabricksFivetranFivetran

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Coalesce, data pipeline, data transformation, Snowflake, Databricks, BigQuery, Microsoft Fabric, column-level lineage, data modeling, data quality, data catalog, ETL, ELT, SQL, metadata-driven development