Redbird AI syncs your Looker semantic layer with Snowflake schema changes, validates metrics against warehouse data, and automates the workflows that keep your BI platform aligned with your data warehouse. Stop manually updating LookML models every time your Snowflake tables change.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Detect schema changes in Snowflake tables and automatically update corresponding LookML view definitions in Looker. Redbird maps new columns to appropriate field types, preserves custom logic, and flags breaking changes. Keep your semantic layer in sync without manual LookML edits.
Run automated validation queries in Snowflake to verify that Looker measure calculations produce expected results. Redbird compares metric outputs against historical baselines and alerts when definitions drift or produce anomalies. Catch metric bugs before business users see incorrect dashboards.
Analyze frequently-run Looker Explores and automatically create optimized materialized tables in Snowflake. Redbird identifies common query patterns, generates the DDL, and schedules refresh logic. Accelerate dashboard performance without manual table design.
Capture Looker usage data—dashboard views, query patterns, user activity—and load it into Snowflake tables for analysis. Redbird structures the data for easy joining with business metrics, enabling you to analyze which teams use which reports and identify underutilized content.
Monitor Snowflake table update timestamps and cross-reference with Looker dashboards that depend on that data. When source tables go stale, Redbird notifies dashboard owners and flags affected reports. Prevent stakeholders from making decisions on outdated data.
Push field descriptions, business owners, and metric definitions from LookML into Snowflake table and column comments. Redbird keeps warehouse metadata enriched with business context, making raw tables more discoverable for data scientists and engineers working directly in Snowflake.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Looker and Snowflake 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 Snowflake warehouse schemas, mapping between your business logic layer and the underlying data structures that power it.
Redbird parses LookML view files to understand dimensions, measures, joins, and derived tables, then maps them to the actual Snowflake tables, columns, and query patterns they reference. Our AI recognizes when a schema change in Snowflake affects specific Looker fields, understands join paths between warehouse tables and Explores, and can generate valid LookML or SQL for either system. You get intelligent automation that respects both your governed semantic layer and your warehouse architecture.
faster than manually syncing LookML with warehouse changes
Redbird can pull from Looker and Snowflake 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 Snowflake.
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 Snowflake, or from Snowflake 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 any event in Looker or Snowflake—schema changes, query patterns, dashboard usage, or data updates.
Fires when a specific Looker dashboard is accessed by a user or scheduled delivery runs.
Triggers when a user creates or modifies a saved Look, capturing query logic changes.
Fires when a user runs an ad-hoc Explore query, capturing usage and query patterns.
Modify dimension, measure, or join logic in a LookML view file via the Looker API.
Add or modify a SQL or native derived table definition within a LookML model.
Force a persistent derived table to rebuild, refreshing cached aggregation logic.
Fires when columns are added, removed, or modified in a Snowflake table or view.
Triggers when a Snowflake query finishes, capturing runtime, rows scanned, and results.
Fires when new data is inserted or updated in a monitored Snowflake table via ETL or streaming.
Execute DDL to create a new table or view, or replace an existing one with updated structure.
Execute a SELECT query in Snowflake and return results for validation or downstream processing.
Load new rows into a Snowflake table or perform upsert logic using MERGE statements.
Sync Looker and Snowflake automatically with Redbird AI. Stop manually reconciling your semantic layer with warehouse changes and start building workflows that keep your BI platform accurate and up-to-date.