Stop manually exporting CSV files from Cloud Storage buckets and running SQL import scripts. Redbird AI automates the sync between your GCP data lake and MySQL database, so data engineers can focus on analytics instead of writing ETL jobs for every new dataset.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically detect new data files landing in your GCS buckets and load them into the corresponding MySQL tables with schema mapping. Redbird handles type conversion, null handling, and incremental updates so your operational database stays current without manual imports.
Export MySQL audit logs, transaction archives, and point-in-time snapshots to Cloud Storage for long-term retention and compliance. Set lifecycle policies to automatically move older backups to Nearline or Coldline storage classes for cost optimization.
Extract operational tables from MySQL and stage them as Parquet or Avro files in GCS for downstream analytics. Enables BigQuery to query fresh application data without putting load on your production MySQL instance.
When new prediction outputs land in GCS from Vertex AI or custom models, automatically update corresponding customer or product records in MySQL. Keep your application database in sync with the latest scoring results without building custom pipelines.
Schedule automated exports of critical MySQL tables to timestamped folders in GCS, creating a version history for audit trails and time-travel queries. Redbird manages compression, partitioning, and metadata so you can restore or compare any historical state.
When third parties drop data files into shared Cloud Storage buckets, automatically validate, transform, and load them into MySQL staging environments. Trigger downstream data quality checks and alert teams if schema mismatches or null violations are detected.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Google Cloud Storage 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 understands both Cloud Storage object structures and MySQL schemas, so you can connect your GCP data lake to your operational database without writing transformation logic.
Redbird maps CSV columns, JSON keys, and Parquet fields from Cloud Storage files to MySQL table structures automatically. It infers data types, handles character encoding, manages primary key conflicts, and suggests indexes based on your access patterns. When schemas evolve, Redbird detects changes and proposes ALTER statements or staging table adjustments to keep pipelines running.
faster than building Cloud Functions and custom Python scripts to sync GCS and MySQL
Redbird can pull from Google Cloud Storage 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 Google Cloud Storage 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 Google Cloud Storage into MySQL, or from MySQL back into Google Cloud Storage. 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 new files in Cloud Storage or table changes in MySQL—Redbird handles the rest.
Fires when a file is uploaded to a specific Cloud Storage bucket or prefix path.
Triggers when file metadata, labels, or storage class changes in GCS.
Runs on a schedule to detect new or modified files in designated buckets.
Write data to Cloud Storage as CSV, JSON, Parquet, or Avro with automatic compression.
Transfer files between GCS buckets or archive to lower-cost storage classes.
Remove files from buckets based on age, naming conventions, or metadata tags.
Fires when records are added to a specific MySQL table or view.
Triggers when existing records are modified and meet specified filter criteria.
Runs a custom SQL query on a schedule and triggers on non-empty result sets.
Upsert data into MySQL tables with conflict resolution on primary or unique keys.
Run custom INSERT, UPDATE, or DELETE statements with dynamic values from upstream data.
Generate new MySQL tables automatically based on incoming data structure and types.
Join data teams who've automated the sync between Google Cloud Storage and MySQL. Build your first workflow in minutes and stop writing custom ETL scripts.