Product
Data
Quality
Know which of your tables you can trust, and which you can't. Bomzai Data Quality measures, certifies, and monitors the reliability of your data directly inside your Snowflake environment, without moving a single row outside it.
What it checks
Three dimensions, column level
Your tables are scored across three dimensions down to each individual column. Checks run automatically against thresholds you define, are fully historized, and can run on a schedule.
Completeness
Detects missing or NULL values per column. Ensures that every field expected to hold data actually does, so downstream consumers can rely on complete records.
Uniqueness
Surfaces duplicates in your primary and business keys. Catches the silent data integrity issues that propagate errors into reports and analytics.
Referential integrity
Identifies foreign keys with no matching parent row. Validates that relationships between tables hold and that joins produce the results you expect.
How it works
From config to results in one click
Describe what to audit, launch the scan, read the results. No infrastructure to manage, no data to move.
01
Describe
List the columns to audit or drop in a DBML file. The app builds one test per check automatically.
02
Scan
One click launches the full scan inside an ephemeral Snowpark Container Services job. Everything runs in your account.
03
Analyze
Results land in a Streamlit interface: global score, table by metric heatmap, worst performing columns, and trend over time.
Why it's different
Built for Snowflake, not bolted on
No SaaS middleman, no data extraction, no new vendor to onboard. Your data stays where it is.
Architecture
100 % in account
No external service, no data movement. Every check runs natively inside your Snowflake environment.
Execution
One click runs
On demand or scheduled, with full run history. Every past result is stored and comparable.
Control
Your thresholds
Set acceptable quality levels per metric and per column. You define what "good enough" means for your data.
Onboarding
Built in demo dataset
Scan something real in minutes, then point the tool at your own tables when you're ready.
Business needs
Data quality and cleansing
Bomzai Data Quality audits any table in your Snowflake account across three dimensions, down to the individual column:
Completeness
Are values present where they should be?
Uniqueness
Are there unexpected duplicates?
Referential integrity
Do relationships between tables hold?
You set the thresholds that define acceptable quality for your own data, run checks on demand or on a schedule, and keep a full history of every result.
Everything runs inside your account: no data moves, no external service.
Issues surface in a Streamlit interface: a global score, a table by metric heatmap, and your worst performing columns. Your teams know exactly what to clean before the data feeds reporting or downstream pipelines.
Ready to score your data?
Get a live demo on your own Snowflake account. See your completeness, uniqueness, and referential integrity scores in minutes.