Know your data is right — before anyone else finds out it isn’t.
Measured Cloud checks your tables on a schedule and tells you, in plain English, what broke, where, and why. Connect a data source, add rules to the tables that matter, bundle them into validations, and get alerted the moment something fails — without your data ever leaving your control.
Everything a data-quality team needs, in one loop
From a fresh connection to a trusted dataset — and a clear answer the next time something changes upstream.
Connect where your data lives
Postgres, Snowflake, BigQuery, SQL Server, Databricks, lakehouse tables, and object storage. Behind a firewall? The Privacy Agent runs the checks inside your network, so credentials and rows never leave it.
Learn more →Rules in plain English
Pick a check from the catalog, describe one in a sentence and let AI draft it, or write custom SQL. Every rule lives on the table it checks, with a severity that says how much a failure matters.
Learn more →Validations with a health score
Bundle the rules of related tables into one validation, run it on demand or on a schedule in your timezone, and track a single 0–100 health score over time.
Learn more →Watch every run live
Execution runs fill in table by table while they work. Stop one mid-flight, and drill from a failure straight back to the rule that caught it.
Learn more →Results that explain themselves
See which rules failed, the failing rows, root-cause analysis, and an AI explanation — the answer to “what broke, where, and why” on one page.
Learn more →Alerts that reach the right people
Route failures by severity to Slack, email, Microsoft Teams, PagerDuty, Jira, and more — with an alert history of every notification sent.
Learn more →How it works
Eight steps, one workflow. Every screen in the product maps to one of them.
- 01
Data sources
Connect a database, warehouse, lakehouse, or bucket.
- 02
Data assets
Discover the tables you care about and profile them.
- 03
Rules
Say what good data looks like, one check at a time.
- 04
Validations
Bundle rules across tables into one runnable unit.
- 05
Schedules
Run each validation on the cadence your data lands.
- 06
Execution runs
Follow a run live, table by table — or stop it.
- 07
Results
Every rule's pass or fail, with failing rows and the why.
- 08
Alerts
Tell the right people the moment data breaks.
Your first green run in minutes
Clone, run make compose-up, and follow the walkthrough from a new data source to a scheduled validation. Then plug it into the tools you already use — the REST API, the Python SDK, Airflow, Dagster, dbt, or your own LLM over MCP.