Sync transactional data from MySQL to Redshift automatically, without building custom ETL pipelines or managing data replication jobs. Redbird keeps your operational database and analytics warehouse in sync, so your team can focus on insights instead of data engineering.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically sync order, customer, and product tables from your MySQL application database to Redshift. Redbird handles incremental updates, schema changes, and data type mappings so your analytics team always has fresh operational data without impacting production database performance.
Capture inserts and updates from high-volume MySQL tables and load them into Redshift staging tables within minutes. Enable near real-time reporting on customer activity, inventory changes, or transaction events without building complex CDC pipelines or managing Kafka infrastructure.
Move aging transactional records from MySQL to Redshift to keep your operational database lean while preserving historical data for compliance and analysis. Redbird automatically purges archived rows from MySQL after successful transfer, maintaining referential integrity across both systems.
Update MySQL customer profiles with calculated fields from Redshift analytics—lifetime value, purchase frequency, churn scores. Redbird pushes aggregated insights back to your operational database so applications can personalize experiences based on data warehouse intelligence.
Replicate curated lookup tables, product catalogs, or enriched reference data from Redshift to MySQL so your applications can serve data warehouse insights at transactional speed. Perfect for feeding ML-generated recommendations or aggregated metrics back into production systems.
Monitor data freshness between your operational database and warehouse automatically. Redbird tracks row counts, last sync timestamps, and schema drift across both systems, notifying your team when dashboards might be showing stale data or when table structures diverge.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize MySQL 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 understands MySQL table structures, primary keys, and indexes alongside Redshift distribution keys, sort keys, and columnar storage—so you can sync data correctly without becoming a database expert.
Redbird automatically maps MySQL data types to Redshift equivalents, handling VARCHAR limits, datetime precision, and ENUM conversions. It detects primary keys and foreign key relationships in MySQL to recommend optimal Redshift distribution and sort strategies. Schema changes in MySQL are identified and can auto-propagate to Redshift tables, keeping both systems aligned as your application evolves. The AI suggests incremental sync strategies based on timestamp columns, auto-increment IDs, or binary log positions.
faster than building custom ETL scripts to sync MySQL and Redshift
Redbird can pull from MySQL 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 MySQL 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 MySQL into Redshift, or from Redshift back into MySQL. 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 from any database event in MySQL or query result in Redshift—Redbird handles the rest.
Trigger when a new record is added to any MySQL table you specify.
Detect when existing records are modified based on timestamp or log position.
Run a custom SELECT query on a schedule and trigger when results differ.
Write new rows to MySQL tables with proper data type handling.
Modify records in MySQL based on primary key or custom WHERE conditions.
Run UPDATE, DELETE, or INSERT statements with dynamic parameters from your workflow.
Trigger when a scheduled Redshift query completes and returns new results.
Monitor Redshift tables for growth or unexpected data volume changes.
Fire when a SUM, COUNT, or AVG crosses a defined threshold in your analytics.
Bulk insert or upsert rows into Redshift with automatic staging and COPY optimization.
Run custom analytical queries, stored procedures, or DDL statements in Redshift.
Modify Redshift table schemas, add columns, or create new tables dynamically.
Stop writing ETL scripts to sync MySQL and Redshift. Redbird connects your operational database to your data warehouse with AI-powered automation that just works.