Automate the flow between your cloud storage and data warehouse. Stop manually uploading CSVs to Redshift, exporting query results to spreadsheets, or writing custom scripts to sync files with your analytics infrastructure.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Monitor designated Google Drive folders for new data exports, flat files, or vendor reports. Redbird automatically detects schemas, maps columns, and loads files into the appropriate Redshift tables with proper data types and transformations.
Run scheduled analytical queries against Redshift and automatically write results to formatted Google Sheets. Stakeholders get fresh data in familiar spreadsheets without SQL access or manual exports from analysts.
Automatically export Redshift table snapshots or aggregated datasets to Google Drive with organized folder structures and naming conventions. Maintain versioned archives of analytical datasets for compliance, backups, or external sharing.
Monitor shared Google Drive folders where partners or vendors deposit data files. Redbird validates file formats, applies data quality checks, and loads new files into Redshift staging tables for downstream processing.
Combine multiple Redshift queries into formatted Google Sheets with charts and summaries. Automatically share completed reports with the right team members and folders based on content or schedule.
Pull budgets, forecasts, and planning data maintained by business teams in Google Sheets into Redshift. Combine human-managed planning assumptions with operational data for unified reporting and variance analysis.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Google Drive 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 Google Drive's file structures and Redshift's columnar warehouse schema, translating between unstructured files and optimized analytical tables without custom code.
Redbird's AI automatically infers schemas from CSVs, JSON, and spreadsheets in Google Drive and maps them to Redshift table structures. It handles data type conversions, detects delimiters and encoding, manages COPY commands with optimal parameters, and structures queries to write results back in human-readable formats. The system learns your naming conventions, folder organization, and table relationships to route data intelligently.
faster than building custom ETL scripts for each file type and Redshift table
Redbird can pull from Google Drive 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 Google Drive 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 Google Drive into Redshift, or from Redshift back into Google Drive. 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 file uploads in Google Drive or query completions in Redshift, then take action across your entire data stack.
Trigger when any file or specific file types appear in monitored Google Drive folders.
Detect when existing files in Google Drive are edited or replaced with new versions.
Monitor Google Sheets for new rows appended to specific sheets or ranges.
Generate formatted Google Sheets with data, formulas, and styling in specified folders.
Write CSV, JSON, or other file formats to Google Drive folders with custom naming.
Write or append data to existing Google Sheets in specific ranges or tabs.
Run scheduled queries and trigger actions when results meet specific conditions or thresholds.
Detect when specific Redshift tables receive new inserts or updates based on monitoring queries.
Execute Redshift queries on schedule and trigger downstream actions with the results.
Insert, upsert, or append data into Redshift tables with automatic schema mapping.
Run analytical or transformation queries against Redshift with dynamic parameters.
Generate new Redshift tables with optimized data types and distribution keys from source data.
Stop building custom pipelines between Google Drive and Redshift. Redbird AI connects your cloud storage to your data warehouse with intelligent automation that understands both systems.