Redbird AI automates the data flow between your semantic layer and enterprise database. Stop manually syncing metric definitions, writing one-off SQL scripts, or exporting CSVs to reconcile Looker reports with source data.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
When analytics teams update business logic in LookML, Redbird translates those definitions and updates corresponding stored procedures in SQL Server. Keeps calculation logic consistent across your BI layer and database without manual SQL rewrites.
Automatically compare aggregated results from Looker explores against source transaction data in SQL Server. Redbird flags discrepancies between reporting metrics and underlying data, catching ETL issues or definition drift before executives see wrong numbers.
When Looker runs scheduled dashboards for compliance reporting, Redbird captures the exact query results and metadata, then writes them to timestamped audit tables in SQL Server. Creates an immutable record of what data was reported when, without manual exports.
After nightly batch jobs update materialized views or summary tables in SQL Server, Redbird automatically triggers Looker to refresh affected caches and PDTs. Ensures morning dashboards reflect the latest processed data without waiting for manual cache clears.
When Looker's ML-powered explores identify high-value customer segments based on usage patterns, Redbird writes those segment classifications back to customer dimension tables in SQL Server. Makes analytics insights actionable for operational systems querying the same database.
Redbird queries Looker's system activity explores to identify slow-running queries, then correlates them with SQL Server execution plans and resource usage. Creates consolidated performance reports showing which Looker dashboards are hitting the database hardest.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Looker and SQL Server 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 SQL Server schema structures, so it can intelligently translate business logic between your governed metrics layer and enterprise database without custom scripting.
Redbird parses your LookML dimensions, measures, and explores to understand how Looker defines business metrics. It also analyzes SQL Server schemas, indexes, stored procedures, and foreign key relationships to map how source data structures support those definitions. When you need to sync metric logic or validate reporting accuracy, Redbird translates between semantic layer abstractions and physical table structures automatically, handling joins, aggregations, and data type conversions without manual mapping.
faster than writing custom integration scripts between Looker and SQL Server
Redbird can pull from Looker and SQL Server 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 SQL Server.
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 SQL Server, or from SQL Server 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 SQL Server—from dashboard refreshes to stored procedure completions.
Fires when a scheduled Looker report finishes running and generates results.
Triggers when changes to LookML files are pushed to production from version control.
Activates when a specific metric visualization crosses a defined business threshold value.
Execute a Looker explore or SQL runner query with dynamic filter values.
Programmatically change default filter values on Looker dashboards based on external logic.
Trigger a rebuild of Looker persistent derived tables or aggregate awareness tables.
Fires when a SQL Server stored procedure finishes execution, capturing output parameters.
Detects when INSERT, UPDATE, or DELETE operations modify record counts in monitored tables.
Activates when scheduled SQL Server Agent jobs complete, whether successful or failed.
Call SQL Server stored procedures with parameters, ideal for triggering ETL or business logic.
Write data to SQL Server tables with upsert logic based on primary keys or unique constraints.
Write timestamped records to SQL Server audit tables for compliance and change tracking.
Stop writing custom scripts to sync Looker and SQL Server. Redbird AI understands both systems and automates the data work between your semantic layer and enterprise database.