Redbird AI syncs transformed data from Databricks directly into MySQL tables, eliminating manual exports and CSV uploads. Stop copying query results, wrestling with JDBC connections, or building custom sync scripts — automate the flow from lakehouse to operational database.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
After running batch transformations in Databricks, automatically write summary tables, metrics, and aggregated dimensions to MySQL. Production applications query fresh analytical data without hitting the lakehouse directly.
Incrementally sync order history, customer records, and product catalogs from MySQL into Databricks Delta. Keep feature stores fresh with operational data for model training and batch inference without manual extracts.
After scoring customers or computing lifetime value in Databricks, write predictions back to MySQL user tables. Marketing and application logic use up-to-date ML outputs without direct lakehouse access.
Continuously sync product inventory, pricing changes, and stock levels from MySQL to Delta tables. Data teams run demand forecasting and supply chain analytics on live operational data.
Automatically log ETL job runs, data quality metrics, and pipeline outcomes to MySQL. Maintain a queryable audit trail in the operational database for governance and lineage reporting.
Kick off Databricks workflows when MySQL order volume exceeds targets or critical tables update. Run incremental processing on-demand without polling or scheduled guesswork.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Databricks 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 Databricks table schemas, partition strategies, and Delta Lake metadata alongside MySQL foreign keys, indexes, and transactional constraints.
Redbird maps Databricks DataFrame columns to MySQL schemas automatically, handling type conversions between Spark SQL and MySQL datatypes. It detects primary keys, understands partitioned Delta tables, and syncs incrementally using timestamps or change data feeds. No manual schema alignment or transform logic — just describe the sync and Redbird writes the pipeline.
faster than building custom Spark-to-MySQL connectors with change data tracking
Redbird can pull from Databricks 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 Databricks 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 Databricks into MySQL, or from MySQL back into Databricks. 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 Databricks job completions or MySQL table changes — Redbird connects every layer of your data stack.
Trigger when a scheduled notebook or pipeline finishes with success status.
Detect when new data lands in a specific Delta table partition or directory.
Fire when a new model version is logged to MLflow or moved to production.
Execute a specific notebook or workflow job with dynamic input values.
Append or overwrite Delta tables with transformation outputs from upstream systems.
Log metadata, evaluation metrics, or custom tags to model training runs.
Trigger when records are added to specified tables, filtered by column conditions.
Detect when table size or filtered record count crosses a defined limit.
Fire when specific fields change, like status flags or inventory levels.
Upsert rows into tables with primary key conflict handling and batch writes.
Call database procedures with parameters for custom business logic.
Dynamically provision tables or add columns based on upstream data changes.
Sync Databricks and MySQL in minutes. Stop exporting CSVs and building one-off connectors — let Redbird handle the data flow between your lakehouse and operational databases.