Redbird AI automates the sync between your Azure SQL operational databases and BigQuery analytics warehouse. Stop writing custom ETL scripts, manually exporting data, or maintaining fragile pipelines across Microsoft and Google cloud environments.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically replicate order, customer, and inventory data from Azure SQL Server to BigQuery datasets as changes occur. Redbird handles schema mapping, type conversion between SQL Server and BigQuery formats, and incremental updates without custom pipeline code.
Move aging transactional data from Azure SQL operational tables into BigQuery for cost-effective cold storage and compliance. Redbird preserves referential integrity, converts datetime formats, and maintains audit trails across both systems.
Write summarized analytics, ML predictions, or dashboard metrics computed in BigQuery back to Azure SQL lookup tables. Your .NET or Azure-based applications can query pre-calculated results without hitting the warehouse directly.
Keep your master product, pricing, and SKU data synchronized from Azure SQL to BigQuery. Combine operational catalog data with clickstream, advertising, and sales data from Google Analytics and other GCP sources for unified reporting.
Monitor row counts, checksums, and key field distributions between Azure SQL source tables and BigQuery destination tables. Redbird detects replication lag, schema changes, or data quality issues and notifies teams before downstream analytics break.
Write ML-generated customer segments, lifetime value scores, or propensity models computed in BigQuery back to Azure SQL customer tables. Sales and support teams access enriched profiles directly in CRM and operational tools without warehouse access.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Azure SQL and BigQuery 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's relational schemas and BigQuery's nested, columnar structures — automatically handling type conversions, partitioning strategies, and cross-cloud authentication.
Redbird maps SQL Server datatypes (DATETIME2, NVARCHAR, DECIMAL) to BigQuery equivalents (TIMESTAMP, STRING, NUMERIC) without manual configuration. It detects primary keys, foreign key relationships, and indexes in Azure SQL, then optimizes BigQuery table partitioning and clustering accordingly. When schemas evolve in either system, Redbird adapts pipelines automatically — handling new columns, type changes, and structural migrations between Microsoft and Google cloud environments.
faster than building custom Azure Data Factory to BigQuery pipelines
Redbird can pull from Azure SQL and BigQuery 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 BigQuery.
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 BigQuery, or from BigQuery 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 automations from any database event in Azure SQL or query completion in BigQuery — Redbird handles the rest.
Fires when a record is added to any monitored Azure SQL table.
Detects changes to specific columns or entire records in operational tables.
Runs a SQL query on a schedule and triggers when results meet conditions.
Write new rows to Azure SQL tables with automatic schema validation.
Modify records in Azure SQL based on primary key or WHERE conditions.
Call Azure SQL stored procedures with parameters from upstream systems.
Fires when a BigQuery scheduled query finishes and new data is available.
Detects when rows are added, updated, or deleted in a BigQuery table.
Triggers when real-time streaming inserts are committed to BigQuery storage.
Append records to BigQuery tables with automatic partitioning and clustering.
Execute arbitrary SQL in BigQuery and pass results to downstream systems.
Overwrite BigQuery tables completely from Azure SQL snapshots or transformations.
Join teams syncing Azure SQL and BigQuery with Redbird AI. Set up your first pipeline in minutes — no Data Factory templates or custom Python code required.