Changelog

What we've shipped lately. Most-recent first.

Improvement

Reliability sprint

  • ▸Idempotent connection creation in onboarding — re-running the test step no longer creates duplicate connections.
  • ▸Heatmap dashboard now reads from the canonical Tier 1 discovery output, eliminating duplicate table rows when validation rules used mixed naming.
  • ▸Validation issue automation now gates on rule source — auto-generated statistical rules stay silent until reviewed, no more 20-issue blasts on a fresh signup.
  • ▸Notification emails suppressed during onboarding (until users have configured preferences). Trial signups no longer receive validation-failure emails before reaching the dashboard.
Feature

14-day free trial

  • ▸Launched the 14-day free trial: full product, all features, no credit card required.
  • ▸Trial banner shows remaining days and a contact CTA when fewer than 2 days remain.
  • ▸Trial expiration auto-downgrades to a limited Free plan; trial state is exposed via /api/billing/trial-status.
Feature

BigQuery onboarding

  • ▸End-to-end BigQuery onboarding: connect with a service account, auto-discover datasets and tables, generate recommended validations.
  • ▸View row-counts are enriched on the first 50 sampled views via bounded COUNT(*) queries.
  • ▸DATE-aware freshness SQL — DATE columns get DATE_SUB(CURRENT_DATE()), DATETIME and TIMESTAMP get their matching functions.
Fix

Dashboard analytics retry hardening

  • ▸All dashboard analytics routes (health-trend, issues-summary, top-failing-validations, connection-heatmap) now retry on Supabase HTTP/2 idle disconnects.
  • ▸Top Failing Validations widget now queries the actual validation_results table instead of the higher-level issues tracker — surfaces all failing rules, not just escalated ones.
  • ▸Data Objects Tracked card and connection-heatmap stuck-loading states resolved.
Feature

Anomaly detection (z-score, IQR, moving average)

  • ▸Three anomaly detection algorithms available per profiled column: z-score, IQR, and moving average.
  • ▸Anomaly history view with severity classification (low / medium / high) and acknowledgment tracking.
  • ▸Per-connection anomaly scan automation; runs on the same schedule as Tier 4 profiling.
Feature

Smart alert routing and snoozing

  • ▸Per-user notification preferences: receive failures as immediate alerts or daily digests.
  • ▸Snooze rules per validation, table, or connection — useful for known-bad windows during deploys or backfills.
  • ▸Multi-channel routing: Slack, email, with per-rule channel selection.
Platform

Tiered metadata collection

  • ▸Five-tier metadata collection pipeline (Discovery, Schema, Changes, Profiling, Lineage) running on configurable schedules per connection.
  • ▸Schema change detection across renames, type changes, adds, and drops — not just adds.
  • ▸Auto-cached validation rule generation from Tier 4 profile statistics.

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