Automate the flow between your lakehouse and relational database. Stop manually exporting Databricks transformations to PostgreSQL or writing brittle pipeline scripts to move operational data into your analytics platform.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically push feature store updates and model predictions from Databricks into PostgreSQL tables that power production applications. Keep application databases fresh with the latest ML outputs without manual export jobs or custom ETL code.
Pull operational data from PostgreSQL into your lakehouse on a schedule for analytics and model training. Maintain full history in Delta format while keeping source systems performant and avoiding complex CDC setup.
Run complex aggregations and transformations in Databricks, then automatically update PostgreSQL tables that feed dashboards and customer-facing analytics. Enable fast queries on pre-computed metrics without overloading your lakehouse with application traffic.
Detect significant data updates in PostgreSQL and automatically kick off Databricks jobs to retrain models or refresh datasets. Keep your ML pipelines responsive to source data changes without constant monitoring.
Export curated dimension and fact tables from your lakehouse into PostgreSQL schemas optimized for tools like Metabase or Grafana. Give business users fast access to governed data without granting direct lakehouse access.
Run batch predictions and clustering in Databricks, then write results back to specific PostgreSQL columns. Update CRM-style databases with propensity scores, churn predictions, or customer segments computed at scale.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Databricks and PostgreSQL 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 Delta Lake table structures and PostgreSQL schemas, so you can map transformations between your lakehouse and relational database without wrestling with connectors.
Redbird reads your Databricks table schemas, partition strategies, and data types alongside PostgreSQL column definitions, constraints, and indexes. It automatically handles type conversions between Spark SQL and PostgreSQL types, suggests optimal batch sizes for bulk operations, and detects schema drift between systems. Whether you're syncing Delta tables to normalized PostgreSQL schemas or loading JSON columns into structured lakehouse tables, Redbird maps the relationships intelligently.
faster than building Databricks-to-PostgreSQL pipelines with PySpark and psycopg2
Redbird can pull from Databricks and PostgreSQL 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 PostgreSQL.
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 PostgreSQL, or from PostgreSQL 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 PostgreSQL data changes and take action across both platforms.
Trigger when a scheduled or ad-hoc Databricks job finishes successfully or fails.
Detect when new data is written to a specific Delta Lake table or partition.
Fire when a new model version is registered in Databricks MLflow registry.
Execute a specific notebook with parameters and wait for completion.
Insert, update, or merge records into a Delta Lake table with schema enforcement.
Start a multi-task workflow job with custom parameters and dependencies.
Trigger when records are added to a specific table or matching a WHERE condition.
Detect changes to specific columns or rows in a table based on timestamp or trigger.
Fire when a PostgreSQL query result exceeds a defined count or aggregate value.
Bulk insert records into a table with conflict handling and transaction support.
Modify existing rows based on key columns or conditional logic.
Run custom SQL statements including DDL, DML, or stored procedures.
Stop building one-off scripts to sync Databricks and PostgreSQL. Let Redbird handle the pipelines so your team can focus on transformations and insights, not infrastructure.