AI readiness by platform
Is your data ready for AI? Start with your platform.
MortarIQ connects to your data platform read-only, reads catalog metadata — never a row of your data — and scores the estate across the six factors that decide whether an AI workload will work: Clean, Contextual, Consumable, Current, Correlated, Compliant.
Every platform exposes a different governance surface, so each assessment reads different catalogs and asks for different grants. Pick yours below for the specifics.
Google BigQuery
Readiness tension: sprawl — datasets accumulate faster than anyone documents them.
Snowflake
Readiness tension: uptake — the governance features exist and are largely unused.
Databricks
Readiness tension: coverage — how much of the estate lives under governance at all.
PostgreSQL
Readiness tension: description — the database was never asked to explain itself to anything but the application.
Also covers Amazon RDS, Aurora, Cloud SQL, Azure Database for PostgreSQL, and more.
Amazon Redshift
Readiness tension: visibility — the catalog itself is permission-scoped, so what a scan can see depends on what it was granted.
Also covers Redshift Serverless, provisioned Redshift clusters.
Microsoft Fabric
Readiness tension: newness — estates are young, conventions are still forming, and metadata sync is a real step.
Also covers Fabric Warehouse, Fabric Lakehouse.
Get your readiness score.
Connect read-only credentials and see your score and biggest blocker in minutes. Metadata only. Starts free.
Run the free scanNot sure which factors matter for your workload? The methodology explains the six factors and the roughly 50 requirements behind them, and the sample report shows the actual output. If your warehouse cannot accept outside connections, the CLI agent runs the same assessment inside your network.