Redbird AI automates data movement and transformation between your cloud data warehouse and operational database. Stop writing custom ETL scripts, manually exporting analysis results, or building one-off pipelines to sync aggregated insights back to your application layer.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically push customer segments, lifetime value calculations, or product recommendations from BigQuery analysis back into MySQL tables that power your application. Redbird handles schema mapping, type conversion, and incremental updates so your app always has fresh analytical insights.
Continuously sync orders, user activity, inventory changes, and other operational records from MySQL into BigQuery staging tables. Redbird tracks change data capture events and handles incremental loads, giving your analytics team a complete historical view without impacting production database performance.
Run scheduled BigQuery analytics on terabytes of data and write summarized results directly into MySQL reporting tables. Perfect for creating dashboard-ready metrics, daily KPI rollups, or pre-aggregated data that needs to be queryable by your operational systems.
Automatically move aged-out transactional records from MySQL to BigQuery cold storage tables while maintaining query access. Redbird schedules archival jobs, validates data integrity, and optionally purges MySQL rows after successful transfer, keeping your production database lean.
Run BigQuery ML models on warehouse data and write prediction outputs back to MySQL customer or product tables. Update churn scores, propensity ratings, or recommendation arrays that your application logic can immediately use for personalization and targeting.
Monitor MySQL operational metrics like order volume, inventory levels, or user signups, and automatically kick off BigQuery analytical jobs when thresholds are crossed. Redbird watches your MySQL tables and initiates warehouse-scale analysis only when needed, optimizing compute costs.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize BigQuery and MySQL 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 BigQuery's nested and repeated schema structures and MySQL's relational constraints, handling the impedance mismatch between analytical and transactional data models automatically.
Redbird intelligently maps between BigQuery's columnar, denormalized structures and MySQL's normalized relational tables. It handles ARRAY and STRUCT flattening when moving to MySQL, and automatically batches row-level inserts for efficient warehouse loading. The platform understands partitioning strategies, clustering keys, primary key constraints, and foreign key relationships across both systems, ensuring data integrity while optimizing for each platform's performance characteristics.
faster than building custom ETL scripts between BigQuery and MySQL
Redbird can pull from BigQuery and MySQL 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 BigQuery or MySQL.
SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.
Push data from BigQuery into MySQL, or from MySQL back into BigQuery. 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 workflows from BigQuery query results or MySQL table changes, and write back to either system with full schema awareness.
Trigger when a BigQuery scheduled query finishes running and results are available.
Detect when new data is written to a specific BigQuery table partition.
Monitor table size and trigger when row counts cross defined limits.
Execute BigQuery SQL with dynamic parameters and return results for downstream processing.
Write structured data into BigQuery tables with automatic schema validation and type casting.
Generate optimized materialized views from query definitions for faster repeated access.
Detect when records are added to specified MySQL tables in real-time.
Monitor specific columns for changes and trigger on update events.
Alert when MySQL table row counts or disk usage crosses operational thresholds.
Insert new rows or update existing ones based on primary key matching with conflict resolution.
Call MySQL stored procedures with parameters for complex transactional operations.
Efficiently load large datasets into MySQL tables using optimized bulk import operations.
Stop building custom pipelines between your warehouse and operational database. Redbird AI syncs BigQuery and MySQL automatically, letting you focus on insights instead of infrastructure.