Sync transformed data, deploy ML features, and orchestrate lakehouse-to-warehouse pipelines automatically. Stop manually exporting Databricks tables, copying feature engineering results, or rebuilding data between platforms.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically replicate transformed Delta Lake tables to Snowflake whenever pipelines complete. Redbird detects schema changes, maps data types, and maintains incremental sync states so your warehouse stays current without manual exports or custom connectors.
Push feature store outputs and engineered features to Snowflake after model training runs complete. Teams can query production features in dashboards and analytics without accessing Databricks, while data lineage stays intact across both platforms.
Launch ETL pipelines, model retraining, or streaming ingestion jobs in Databricks whenever source tables update in Snowflake. Eliminates polling or scheduled runs, ensuring transformations execute only when fresh data arrives.
Automatically move historical or infrequently-accessed tables from Snowflake to Delta Lake based on age or query patterns. Maintain queryability through Databricks while reducing warehouse compute and storage costs on older datasets.
Compare real-time prediction distributions in Databricks against historical baselines stored in Snowflake. Redbird surfaces drift anomalies, distribution shifts, or performance degradation across both platforms without building custom monitoring pipelines.
Append model predictions, propensity scores, or clustering assignments from Databricks to corresponding customer or transaction records in Snowflake. BI teams access ML insights alongside operational data without switching tools or understanding model infrastructure.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Databricks and Snowflake 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 Delta Lake table structures, Snowflake schema evolution, and the data type mappings between lakehouse and warehouse architectures.
Redbird maps Databricks Delta table partitions, merge operations, and change data feeds to Snowflake stage formats, table structures, and clustering keys automatically. It recognizes when Databricks uses struct types, arrays, or nested JSON that need flattening for Snowflake consumption. Schema drift, type conversions, and incremental sync patterns are handled without brittle custom code or manual column mapping.
faster than building custom Spark-to-Snowflake connectors
Redbird can pull from Databricks and Snowflake 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 Snowflake.
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 Snowflake, or from Snowflake 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 job completions, table updates, or model deployments in either platform.
Workflow starts when any Databricks job finishes, whether successful or failed.
Trigger when specific Delta Lake tables receive writes, merges, or deletes.
Fires when new model versions are logged to MLflow model registry.
Insert, update, or merge data into specified Delta Lake tables with schema evolution.
Execute parameterized Databricks notebooks with dynamic inputs from other systems.
Start specific Databricks jobs or workflows with custom parameters and dependencies.
Workflow initiates when Snowflake table size crosses thresholds or updates occur.
Trigger when Snowflake Tasks finish execution in defined workflows or schedules.
Fires when Snowflake Streams capture inserts, updates, or deletes on tracked tables.
Append or replace Snowflake tables with automatic stage management and COPY execution.
Run analytical SQL, merge statements, or DDL commands against any Snowflake database.
Provision Snowflake secure data shares for cross-account or partner access automatically.
Sync Databricks and Snowflake automatically. Redbird handles schema mapping, incremental updates, and bidirectional workflows so your lakehouse and warehouse stay aligned without manual integration work.