Redbird AI syncs data between your S3 data lake and MySQL database automatically. Stop writing custom ETL scripts to load CSVs, JSON files, or Parquet data into tables. Stop manually exporting query results back to S3 for downstream processing.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
When new data files land in S3 buckets, Redbird parses the structure and loads records into the corresponding MySQL tables. Handles schema mapping, type conversion, and incremental updates without custom loader scripts.
Run scheduled MySQL queries and write results directly to S3 in analytics-ready formats. Feed data from your operational database into data lake workflows, machine learning pipelines, or warehouse staging areas automatically.
Process JSON log files or event data stored in S3 and insert structured records into MySQL. Transform nested objects into relational schemas and maintain queryable application event history in your database.
Export complete MySQL tables or incremental snapshots to S3 buckets automatically. Maintain versioned backups, disaster recovery datasets, and historical archives without managing dump scripts or cron jobs.
Import processed data from Spark jobs, Athena outputs, or other pipeline results stored in S3 directly into MySQL. Bridge batch processing systems with operational databases for reporting and application access.
Monitor data quality as files move from S3 to MySQL tables. Get notified when imports encounter schema mismatches, constraint violations, or data type errors before corrupt data reaches production systems.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Amazon S3 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 S3 object structures and MySQL table schemas, so you can move data between cloud storage and relational databases without writing transformation code.
Redbird automatically maps S3 file formats (CSV, JSON, Parquet, Avro) to MySQL column types and constraints. It detects schemas from files, handles nested structures, manages encoding conversions, and optimizes bulk inserts. When moving data from MySQL to S3, it intelligently partitions exports, compresses files, and organizes bucket prefixes based on your table structure and query patterns.
faster than building custom S3-to-MySQL loaders
Redbird can pull from Amazon S3 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 Amazon S3 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 Amazon S3 into MySQL, or from MySQL back into Amazon S3. 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 new S3 objects, file patterns, MySQL table changes, or run on schedules — Redbird handles the rest.
Trigger when files are added to specific S3 buckets or prefix paths.
Detect files matching regex patterns like date stamps or department codes.
Monitor for large file uploads that need special processing or batching.
Extract data from CSV, JSON, Parquet, or other structured file formats.
Query bucket contents to identify files for batch processing or archival.
Export processed data or MySQL query outputs to specified bucket locations.
Detect when records are added to specific MySQL tables for downstream sync.
Monitor table growth to trigger archival or export workflows automatically.
Run MySQL queries on cron schedules to extract data for S3 export.
Load parsed S3 file contents into MySQL tables with type mapping.
Merge S3 data into MySQL tables using primary or composite keys.
Run SELECT queries to extract MySQL data for transformation or export.
Stop maintaining custom ETL code between S3 and MySQL. Redbird connects your data lake and operational database with AI-powered automation that understands both systems.