Redbird AI syncs your Looker semantic layer with PostgreSQL schemas, automates table monitoring, and keeps your LookML models in sync with database changes. Stop manually tracking schema drift and rebuilding broken explores when your database evolves.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
When columns are added, renamed, or dropped in PostgreSQL tables, Redbird automatically generates updated LookML view definitions and suggests dimension mappings. Your Looker explores stay in sync with source data without manual model rebuilding.
Export aggregated Looker query results to PostgreSQL tables for downstream application use. Redbird schedules complex business logic calculations in Looker and materializes them as operational tables your apps can consume.
Monitor PostgreSQL slow query logs and correlate them with Looker dashboard performance. When database queries exceed thresholds, Redbird notifies data teams with specific LookML explores that need optimization or indexing improvements.
Apply centralized business logic from LookML to enrich raw PostgreSQL records. Redbird reads customer or transaction data from Postgres, runs it through Looker's metric definitions, and writes enriched records back with computed KPIs.
Capture point-in-time Looker dashboard results and store them as historical snapshots in PostgreSQL tables. Redbird automates monthly or quarterly executive report archiving, preserving metric values before LookML definitions change.
Pull column comments, data types, and constraint information from PostgreSQL system catalogs into LookML field descriptions. Redbird keeps your Looker data dictionary current with source database documentation automatically.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Looker and PostgreSQL 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's AI understands both LookML semantic models and PostgreSQL relational schemas, making it easy to keep your analytics layer synchronized with your operational database.
Redbird parses your LookML view definitions, explore joins, and derived table logic alongside PostgreSQL information_schema, foreign key relationships, and column constraints. When you connect Looker to PostgreSQL, Redbird maps dimensions to database columns, understands which explores query which tables, and detects when schema changes will break existing analytics models. The AI suggests LookML updates when PostgreSQL types change and validates that your semantic layer reflects the actual database structure.
faster to sync Looker models with PostgreSQL schema changes
Redbird can pull from Looker and PostgreSQL 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 PostgreSQL.
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 PostgreSQL, or from PostgreSQL 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 Looker scheduled queries or PostgreSQL table changes and take action across your entire data stack.
Trigger when a Looker scheduled report finishes running and results are available.
Monitor query runtime and trigger when Looker dashboard elements take too long to load.
Detect when a previously-working Looker explore starts returning no data.
Modify dimension types, descriptions, or field properties in Looker views programmatically.
Execute a Looker query with specified filters and retrieve the result set for processing.
Generate new LookML derived tables based on naming conventions and SQL patterns.
Trigger when columns are added, removed, or have type changes in PostgreSQL tables.
Monitor table sizes and trigger when PostgreSQL tables grow beyond expected volumes.
Detect when new tables appear in tracked PostgreSQL schemas for automatic documentation.
Write summarized or calculated records into PostgreSQL staging tables from external sources.
Modify PostgreSQL rows based on business logic or enrichment from other systems.
Automatically add database indexes when query patterns indicate performance improvements.
Sync Looker and PostgreSQL in minutes. Redbird's AI understands your LookML models and database schemas so you can automate the data ops work slowing your team down.