Redbird AI connects your semantic layer to your transactional database, automating metric validation, schema change detection, and operational reporting. Stop manually checking if your LookML models match production tables or exporting dashboard data back to MySQL.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Detect when MySQL table structures change and flag mismatches in your Looker dimensions and measures. Redbird compares production schemas to LookML definitions and alerts teams before queries break, ensuring your semantic layer stays accurate.
Write calculated metrics and KPIs from Looker directly into MySQL tables for use by applications. Redbird transforms dashboard aggregations into normalized records, powering features like customer health scores or inventory thresholds in your production systems.
Capture point-in-time snapshots of executive dashboards and store them as structured records in MySQL. Redbird automatically writes scheduled Look results to audit tables, creating compliance-ready historical records of business metrics.
Push behavioral analytics and calculated metrics from Looker back to customer tables in MySQL. Redbird matches user IDs across systems and writes LTV, engagement scores, and cohort assignments directly to operational records for real-time personalization.
Stream MySQL slow query logs and performance metrics into Looker for centralized database health monitoring. Redbird normalizes query execution data and makes it explorable through LookML, giving DBAs self-serve access to performance insights.
Automatically flag unexpected nulls, duplicates, or outliers detected through Looker exploration directly to database teams. Redbird monitors dashboard queries for anomalies and writes issue tickets with source table context to MySQL tracking tables.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Looker and MySQL with OAuth or API credentials. Redbird never stores your data — it just passes through.
Tell Redbird what to do in plain language — no SQL, no code, no configuration files required.
Redbird shows you exactly what it will do before running anything. Approve the workflow, set a schedule, and switch it on.
Workflows run on your schedule or on triggers. Every run is logged. Adjust with natural language at any time.
Redbird understands both LookML semantic models and MySQL relational schemas, mapping business logic to table structures automatically and keeping your analytics layer synchronized with production data.
Redbird parses LookML view files to understand your metric definitions, dimensions, and joins, then maps them directly to MySQL table structures, columns, and indexes. When you sync aggregated metrics back to MySQL, Redbird automatically handles type conversions, handles joins across normalized tables, and ensures referential integrity. Schema changes in MySQL trigger intelligent comparisons against LookML models, flagging breaking changes before they cascade to dashboards.
faster than building custom ETL to sync Looker and MySQL
Redbird can pull from Looker and MySQL simultaneously, merge the results, and format a polished report — sent on a schedule or on demand.
Set conditions in natural language. Get notified in Slack or email the moment a threshold is crossed in either Looker or MySQL.
SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.
Push data from Looker into MySQL, or from MySQL back into Looker. Resolve conflicts with configurable merge rules.
Every workflow run is logged — what ran, what changed, and why. Replay or revert any individual step at any time.
Start automations from dashboard schedules, explore queries, or database events—Redbird connects every layer of your analytics and operational stack.
Trigger workflows when recurring reports finish, capturing results for archival or operational use.
Fire alerts when self-serve exploration uncovers unexpected nulls, spikes, or data quality issues.
React to semantic layer updates, validating new dimensions against source tables automatically.
Insert or update calculated KPIs from Looker directly into operational MySQL records.
Transform tabular dashboard results into normalized relational records for application use.
Automatically adjust dimension definitions when source column types or constraints change.
Detect ALTER TABLE operations and compare changes against dependent LookML views.
Stream transactional changes from MySQL to trigger real-time dashboard refreshes or alerts.
Capture performance bottlenecks and log query execution details for analysis in Looker.
Write enriched customer attributes, health scores, or calculated flags back to MySQL tables.
Archive point-in-time dashboard results as structured MySQL records for compliance tracking.
Push segment assignments, forecasts, or model scores from Looker into production databases.
Sync Looker and MySQL in minutes. Redbird AI handles schema mapping, metric validation, and bidirectional syncs so your semantic layer and transactional database stay aligned without manual engineering.