Redbird AI automates the flow between your Microsoft dashboards and Amazon data warehouse. Stop manually refreshing datasets, writing custom sync scripts, or debugging connection failures when schemas change. Keep your reports current with warehouse data automatically.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Trigger dataset refreshes in Power BI the moment new data lands in Redshift tables. Redbird monitors your warehouse for completed loads and immediately syncs to keep dashboards current without manual intervention or fixed schedules.
When analysts modify measures, calculated columns, or relationships in Power BI, automatically update corresponding metadata tables in Redshift. Maintain a single source of truth for business logic across your BI layer and warehouse.
Capture dashboard views, refresh times, query performance, and user interactions from Power BI and store in Redshift. Build analytics on your analytics stack to optimize report design and infrastructure spend.
Monitor query execution times and resource consumption from Power BI against Redshift. Automatically notify data teams when reports generate slow or expensive queries so they can optimize before users complain.
Analyze Power BI report queries and automatically generate pre-aggregated views or materialized tables in Redshift. Redbird identifies common query patterns and builds warehouse structures that make dashboards load faster.
Run complex SQL transformations in Redshift and inject results directly into Power BI data models as new columns. Leverage warehouse compute for heavy lifting while keeping business logic visible in your BI layer.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Power BI and Redshift 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 Power BI's semantic models and Redshift's columnar structure, so you can automate the entire analytics pipeline without custom code.
Redbird maps Power BI tables, measures, and relationships to Redshift schemas, dist keys, and sort keys automatically. It understands when a Power BI dataset references multiple Redshift tables, handles incremental refresh partitions, and adapts when warehouse schemas evolve. The platform translates between DirectQuery connections and Import mode datasets, ensuring data flows correctly regardless of your refresh strategy.
faster than building custom refresh pipelines with Python and Airflow
Redbird can pull from Power BI and Redshift 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 Power BI or Redshift.
SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.
Push data from Power BI into Redshift, or from Redshift back into Power BI. 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 Power BI or Redshift—from table loads to dashboard publishes.
Fires when a Power BI dataset finishes refreshing, whether scheduled or on-demand.
Triggers when a new report is published or an existing one is updated in a Power BI workspace.
Detects when tables, columns, or relationships are added or modified in a Power BI semantic model.
Initiates a full or incremental refresh of a Power BI dataset via XMLA endpoint.
Modifies connection strings, server names, or database parameters in a Power BI dataset.
Extracts underlying data from Power BI visuals or tables for archival or further processing.
Fires when data finishes loading into a Redshift table via COPY, INSERT, or external orchestration.
Triggers when a query against Redshift takes longer than a specified execution time.
Detects when columns are added, removed, or altered in Redshift tables or views.
Executes custom SQL against Redshift and returns results for downstream processing.
Builds a new materialized view in Redshift based on query patterns or aggregation requirements.
Runs ANALYZE commands on Redshift tables to refresh query planner statistics for optimization.
See how Redbird AI syncs Power BI with Redshift in minutes. Stop writing refresh scripts and start automating your entire analytics pipeline.