Eliminate blind spots in your data pipelines

Proactively safeguard data integrity in Databricks

Built to support modern data teams, the Data Quality App runs directly inside your Databricks workspace—bringing automation, transparency, and auditability to your pipeline validation process.

Forget brittle SQL scripts and ad hoc testing. Instead, enforce consistent validation logic at scale, tailored to your organization’s needs.

Simple native deployment

Deploy in minutes

Native to Databricks, the app installs quickly—no servers, agents, or third-party services. Start validating your data the same day.

Configure without code

Build quality checks using a visual interface. Analysts and engineers alike can apply rules without writing a single SQL line.

Start with 40+ built-in checks

Quickly cover common failure points: nulls, data types, uniqueness, and expected values—no setup required.

Customize for your business

Add domain-specific rules in SQL to ensure the data you deliver matches your team's unique definitions of “clean” and “complete.”

Your native validation layer for Databricks

Built for real-world demands

  • Validate production workflows for mission-critical analytics
  • Catch errors early before they reach dashboards and reports
  • Standardize governance across distributed teams
  • Replace fragile validation scripts with scalable, auditable logic

What Sets It Apart

Less incidents

Cut incident triage time by up to 70%

Shared visibility

Give technical and business users shared visibility

Time saved

Accelerate reliable decision-making across the business

Why Aimpoint Digital

Aimpoint Digital is a trusted partner behind enterprise-grade analytics on Databricks. As the 2024 Databricks Digital Native Partner of the Year, we help organizations operationalize trust in data at scale.

We don’t just build tools—we deliver outcomes.

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