Redbird AI syncs your Azure SQL operational databases directly to Redshift for analytics. Stop writing custom ETL scripts, managing incremental loads, or manually exporting data between Microsoft and AWS environments.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically replicate orders, payments, and customer activity from Azure SQL to Redshift on a schedule. Redbird handles incremental updates, schema mapping, and type conversions so your analytics team always has fresh operational data without burdening production databases.
Move complete datasets from Azure SQL—user profiles, product catalogs, inventory snapshots—into Redshift every night. Power your Tableau or Looker dashboards with centralized data from your Microsoft stack without manual exports or complex Azure Data Factory pipelines.
Detect inserts, updates, and deletes in Azure SQL operational tables and write them to Redshift in near-real-time. Build event-driven analytics pipelines that keep your data warehouse current without polling or full table scans that impact production performance.
Automatically move historical orders, logs, or transactional data older than 90 days from Azure SQL to Redshift. Reduce your Azure SQL storage costs while preserving complete history in your data warehouse for compliance and multi-year trend analysis.
Run nightly aggregations in Redshift—customer lifetime value, product performance scores, cohort summaries—and write the results back to Azure SQL tables. Let your applications and APIs serve pre-computed analytics without running heavy queries on operational databases.
Compare row counts, column statistics, and data freshness between Azure SQL source tables and their Redshift replicas. Get notified immediately when discrepancies exceed configured thresholds so data engineers can address pipeline issues before they affect downstream reporting.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Azure SQL 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 SQL Server schemas in Azure and Redshift distribution strategies, automatically handling the cross-cloud translation between Microsoft and AWS data platforms.
Redbird's AI analyzes your Azure SQL table structures—primary keys, indexes, IDENTITY columns, datetime2 fields—and intelligently maps them to Redshift schemas with appropriate distribution keys, sort keys, and compression encodings. It handles T-SQL to PostgreSQL dialect differences, converts Windows-1252 character encodings, and manages timezone transformations between Azure and AWS regions. When data types don't align perfectly, Redbird applies smart conversions while preserving referential integrity.
faster than building custom Azure-to-AWS ETL pipelines with Data Factory and Glue
Redbird can pull from Azure SQL 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 Azure SQL 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 Azure SQL into Redshift, or from Redshift back into Azure SQL. 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 automation from any database event in Azure SQL or any query result in Redshift—Redbird connects both systems intelligently.
Trigger when a new record is added to any Azure SQL table, capturing the full row data.
Detect when existing records are modified and meet specific column value conditions.
Run a custom SQL query on a schedule and trigger when results are available.
Write new records to any Azure SQL table with automatic schema validation.
Modify existing records in Azure SQL tables using primary key lookup.
Call Azure SQL stored procedures with parameters and capture return values.
Trigger when a Redshift query finishes running on a defined schedule, returning result sets.
Detect when a Redshift table grows beyond a specified size for monitoring or alerting.
Trigger when fresh data arrives in a Redshift table, based on timestamp column analysis.
Use Redshift COPY command to efficiently load large datasets from S3 or direct streams.
Run complex SQL queries across Redshift tables and return aggregated results.
Modify Redshift table schemas, add columns, or create new tables with optimized distribution.
Sync Azure SQL to Redshift in minutes, not weeks. Redbird AI handles the cross-cloud complexity so your team can focus on analytics instead of infrastructure.