Redbird AI automates the flow between your AWS data warehouse and visualization platform. Stop manually exporting datasets, rebuilding extracts, and updating dashboards—let AI handle data prep, schema changes, and dashboard refreshes across your analytics stack.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Trigger Tableau extract refreshes immediately when your ETL pipeline completes or new event data arrives in Redshift. Keep dashboards current without scheduled jobs or manual kicks. Redbird monitors table updates and orchestrates the refresh workflow end-to-end.
Run pre-aggregation queries in Redshift and package results as clean Tableau extracts on schedule or on-demand. Redbird handles the SQL execution, result formatting, and extract publishing. Reduce dashboard query load and improve performance for business users.
Keep lookup tables, product catalogs, and dimension data in sync between Redshift and published Tableau data sources. When dimension values change in your warehouse, Redbird updates the corresponding Tableau extracts and notifies dashboard owners of schema changes.
Track which dashboards are viewed, by whom, and when—then log that activity to Redshift for centralized analytics. Redbird pulls Tableau server metadata and user events, transforms them into structured records, and writes to your warehouse for reporting on BI adoption.
Monitor freshness of source tables in Redshift and detect when Tableau workbooks are connected to stale data. Redbird cross-references extract refresh timestamps with warehouse table updates and sends alerts when dashboards fall behind, preventing decisions on old data.
Automatically save versioned copies of Tableau extract data to Redshift tables for audit trails and regulatory requirements. Redbird captures extract snapshots at each refresh cycle, stores them in your warehouse with metadata, and maintains a complete lineage of dashboard data over time.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Redshift and Tableau 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 AI understands both Redshift's columnar storage architecture and Tableau's data source model—mapping warehouse schemas to extracts, live connections, and published data sources intelligently.
Redbird reads your Redshift table definitions, distribution keys, sort keys, and query patterns to optimize data extraction. It understands Tableau workbook structure, data source relationships, calculated fields, and extract schemas. When schemas evolve in Redshift, Redbird detects breaking changes and updates dependent Tableau data sources automatically—mapping new columns, handling renamed fields, and preserving calculated fields without manual intervention.
faster than scripting extract refreshes and data prep jobs manually
Redbird can pull from Redshift and Tableau 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 Redshift or Tableau.
SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.
Push data from Redshift into Tableau, or from Tableau back into Redshift. 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 workflows from any Redshift table update or Tableau dashboard event—Redbird handles the orchestration across both systems.
Fire when fresh event data, transactions, or records land in any Redshift table.
Detect when columns are added, removed, or data types change in warehouse tables.
Trigger when a specific analytical query or materialized view refresh finishes running.
Run parameterized queries to extract, aggregate, or transform data in Redshift.
Write structured data back to Redshift tables from other systems or transformations.
Trigger maintenance operations to optimize storage and update query planner statistics.
Fire when a Tableau data extract finishes updating from its source connection.
Detect when dashboards are published to Tableau Server or modified by authors.
Trigger on specific dashboard access events for tracking usage or conditional alerts.
Initiate a full or incremental refresh of a published Tableau data extract.
Create new published data sources or update existing ones with fresh connection details.
Modify tags, descriptions, or permissions on Tableau workbooks programmatically.
Join teams that have eliminated manual data pipeline work between Redshift and Tableau. Connect your warehouse and BI platform in minutes, not sprints.