Solutions

Data quality that’s
built in, not bolted on

Build trust in your data, everywhere it flows

Your data is only valuable when it’s trusted. But ensuring quality often requires multiple disconnected tools, manual testing, and endless debugging.

With Coalesce, data quality is embedded directly into transformation and catalog workflows—so you can test, monitor, and govern data where it’s created, discovered, and consumed.

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Accelerate data delivery with embedded quality

Build testing into your workflows. Write, version, and run checks alongside transformations, enforcing reliability without extra steps.

  • Author tests in transformation workflows
  • Discover errors before deployment with CI/CD gating
  • Manage tests using bulk operations and unified grids

Spot problems before they impact operations

Automate monitoring and trigger lineage-aware alerts to surface anomalies early, so teams can resolve them before they reach dashboards or executives.

  • Catch volume, schema, and pipeline anomalies with automated detection
  • Get actionable, grouped alerts with root-cause context
  • Assign and resolve data quality alerts using incident management workflows

Govern quality standards at scale

Centralize governance, contracts, and reusable templates that scale across teams and domains without slowing delivery.

  • Measure coverage across pipelines and domains
  • Enforce consistency with org-wide standards libraries and templates
  • Define agreements through data quality contracts between producers and consumers
  • Automate rule inheritance through lineage

Improve visibility and trust across your data flows

Connect tests, lineage, and impact into unified dashboards so data leaders can track quality, forecast improvements, and show business value.

  • Monitor health with dashboards by pipeline and domain
  • Track progress using trend analytics for monitoring improvements over time
  • Analyze real-time impact downstream, powered by automated metadata sync
Frequently Asked Questions

A native solution for testing, monitoring, and governing data quality—embedded directly in Coalesce Transform and Catalog workflows.

Embedding reduces context switching, ensures earlier issue detection, and gives engineers, analysts, and leaders a single source of truth.

Yes. Automated anomaly detection and schema change alerts notify teams before issues reach business users.

You can auto-enforce standards through templates, contracts, and rule inheritance through lineage—ensuring quality scales across domains and teams.

Unified dashboards show adoption, quality health by domain, trends over time, and real-time downstream impact when issues occur.

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