Automate the flow of operational data from Azure SQL into Snowflake for analytics. Stop writing custom ETL scripts, manually exporting tables, or waiting on engineering to sync your production databases to your data warehouse.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically replicate operational tables from Azure SQL into Snowflake on hourly, daily, or custom intervals. Redbird detects schema changes, handles incremental updates, and ensures your warehouse always reflects production state without custom pipeline code.
Capture change data from Azure SQL transaction logs and stream inserts, updates, and deletes into Snowflake in near real-time. Enable live dashboards and operational reporting without impacting production database performance.
Push pre-computed metrics, ML predictions, or aggregated datasets from Snowflake back into Azure SQL tables that power your applications. Keep operational systems enriched with insights from your analytical workloads without manual exports.
Automatically move aged-out transactional data from Azure SQL to Snowflake based on retention policies. Keep operational databases lean while preserving full history in your warehouse for compliance and trend analysis.
Monitor row counts, checksums, and freshness between Azure SQL source tables and their Snowflake replicas. Get notified immediately when pipelines fail, data drifts, or replication lags beyond acceptable thresholds.
Sync master data, reference tables, and dimension updates from Snowflake back into Azure SQL to keep operational systems aligned with canonical warehouse definitions. Ensure consistency across your entire data estate without manual coordination.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Azure SQL and Snowflake 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 understands both Azure SQL's relational schema and Snowflake's warehouse structures, so you can automate data movement without writing pipeline code or managing infrastructure.
Redbird automatically inspects your Azure SQL tables, indexes, primary keys, and foreign key relationships, then intelligently maps them to Snowflake schemas. It handles type conversions between SQL Server and Snowflake data types, detects schema drift when columns are added or modified, and adapts your pipelines without manual intervention. Whether you're syncing normalized OLTP tables or denormalizing for analytics, Redbird understands the context.
faster than building custom ETL pipelines with SSIS or Python scripts
Redbird can pull from Azure SQL and Snowflake 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 Snowflake.
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 Snowflake, or from Snowflake 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 workflows from any database event in Azure SQL or any warehouse operation in Snowflake, then automate what happens next.
Trigger when records are added to any Azure SQL table you specify.
Detect when specific columns or any field in a table is modified.
Fire when columns are added, removed, or data types change in Azure SQL.
Run custom SELECT, INSERT, UPDATE, or stored procedure calls against Azure SQL.
Write batches of records into Azure SQL tables with transaction handling.
Provision new tables or modify existing schemas in Azure SQL programmatically.
Trigger when a Snowflake query finishes running, including scheduled tasks.
Detect when new rows arrive in any Snowflake table via COPY, INSERT, or MERGE.
Fire when compute usage, credit consumption, or query volume crosses defined limits.
Execute any SQL query, DML, or DDL command in Snowflake from your workflow.
Initiate COPY INTO commands to load files from internal or external stages.
Provision tables, views, or materialized views in Snowflake with custom schemas.
Start syncing Azure SQL to Snowflake in minutes. Redbird handles schema mapping, incremental updates, and all the pipeline logic so your team can focus on analysis instead of data engineering.