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Data & Analytics

Bad data caught before it costs you.

ZeroTwo monitors data quality across your Postgres and MySQL databases every 6 hours.

Integrates with:

What changes

Before
With ZeroTwo
Detection timing
When someone sees wrong numbers in a dashboard
Within hours, before downstream systems consume it
Investigation time
Half a day figuring out whether the data, the sync, or the query is broken
Alert includes the exact table, column, check SQL, and likely root cause
Pipeline coverage
Fivetran/Airbyte show sync status, but not whether the data is correct
Row counts, null rates, and freshness validated at the destination
Schema changes
Break downstream queries silently for days
Detected and flagged before dependent systems are affected

Detection timing

Before

When someone sees wrong numbers in a dashboard

With ZeroTwo

Within hours, before downstream systems consume it

Investigation time

Before

Half a day figuring out whether the data, the sync, or the query is broken

With ZeroTwo

Alert includes the exact table, column, check SQL, and likely root cause

Pipeline coverage

Before

Fivetran/Airbyte show sync status, but not whether the data is correct

With ZeroTwo

Row counts, null rates, and freshness validated at the destination

Schema changes

Before

Break downstream queries silently for days

With ZeroTwo

Detected and flagged before dependent systems are affected

The revenue dashboard says $0 for yesterday. Nobody noticed until the CEO did.

Stripe data syncing via Fivetran to Postgres. PostHog events via nightly jobs. The Fivetran sync hung due to rate-limiting, leaving the reporting table 18 hours stale and showing $0 revenue. The dashboard looked normal -- it just had yesterday's numbers missing, and nobody caught it until the CEO opened it.

Previous month: a schema migration added a nullable column to the customers table. A downstream query silently excluded affected rows, causing the signup funnel to appear 40% lower than reality. The issue went undetected for six days until someone ran an ad-hoc query and noticed the numbers didn't add up.

How ZeroTwo monitors your data quality

1

Checks sync freshness, row counts, null rates, and schema drift

Neon

stripe_subscriptions is 18 hours stale (expected < 2 hours). Null rate on customers.plan_id spiked from 0.1% to 12%. A new nullable column was added to orders table.

2

Synthesizes failures into actionable alerts

Google

ZeroTwo grouped 3 findings by severity: stale sync critical, null spike high, schema change informational. Failed SQL assertions included for each.

Runs Every 6 hours · Alerts posted to #data-quality in Slack

Get started in under 10 minutes

1

Connect your tools

One-click OAuth for each integration. No API keys, no engineering.

2

Describe what you need

Monitor the orders, users, and events tables every 6 hours. Flag anything with more than 5% nulls in required columns or row counts that drop more than 20% from the 7-day average.

3

It runs on schedule

Checks run every 6 hours and you only hear about it when something breaks.

Frequently asked questions

Sync tools tell you whether the job ran. ZeroTwo tells you whether the data is correct at the destination.

Every check is a SQL assertion. 'SELECT MAX(updated_at) FROM stripe_subscriptions' with a threshold of '< 2 hours ago.'

ZeroTwo runs lightweight, read-only queries. Freshness checks are single MAX(updated_at) queries, not full table scans.

Yes. Neon (Postgres), PlanetScale (MySQL), and Supabase (Postgres) in the same configuration.

An alert fires with the check name, SQL, current value, threshold, and issue timeline. Severity levels control routing.

Related workflows

Stop doing the work your tools should do for you.

Set it up once. ZeroTwo runs it every time.