Stop manually exporting warehouse tables to Delta Lake or copying feature data back to Synapse. Redbird AI keeps your analytical warehouse and lakehouse platform in sync—automating data movement, ML workflows, and cross-platform orchestration across your Azure data stack.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically replicate curated warehouse tables from Synapse to Databricks Delta Lake whenever data refreshes. Redbird handles incremental updates, schema evolution, and partitioning so data science teams always train models on the latest enterprise data without manual exports.
When feature engineering pipelines complete in Databricks, automatically write feature tables to Synapse for consumption by Power BI and business reporting tools. Keep analytical dashboards aligned with production ML features without maintaining separate transformation logic.
Launch Databricks model retraining, feature computation, or streaming jobs immediately when Synapse pipelines finish loading new source data. Redbird orchestrates cross-platform workflows so downstream ML processes react to warehouse updates in real-time without polling or manual coordination.
Capture model performance metrics, experiment results, and pipeline statistics from Databricks runs and write them to dedicated Synapse tables. Build centralized reporting on ML operations alongside business KPIs, giving leadership unified visibility into data and ML performance.
Apply Databricks-trained models to score customer segments, predict churn, or calculate propensity values, then write enriched results back to Synapse dimension tables. Keep predictive attributes available for SQL-based reporting and segmentation without exporting data out of your warehouse.
Monitor schema changes, row counts, and data quality metrics across mirrored tables in Synapse and Databricks. Redbird alerts data platform teams when definitions drift or sync failures occur, preventing downstream pipeline breaks and ensuring lakehouse and warehouse stay aligned.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Azure Synapse and Databricks 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 AI understands both Synapse's dedicated SQL pools and Databricks' Delta Lake architecture—mapping warehouse schemas to lakehouse tables and orchestrating bidirectional data flows without custom code.
Redbird automatically discovers Synapse external tables, dedicated SQL pool schemas, and serverless views, then maps them to Databricks Delta tables, Unity Catalog namespaces, and Spark schemas. It handles partition alignment, incremental merge patterns, and type conversions between T-SQL and Spark SQL. When warehouse tables add columns or Databricks schemas evolve, Redbird adapts sync logic and transformation rules automatically—no manual mapping files or brittle ETL scripts.
faster than building custom Synapse-to-Databricks pipelines with ADF or notebook jobs
Redbird can pull from Azure Synapse and Databricks 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 Azure Synapse or Databricks.
SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.
Push data from Azure Synapse into Databricks, or from Databricks back into Azure Synapse. 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 any event in Synapse or Databricks—pipeline completions, table updates, job runs, or schema changes.
Trigger workflows when data integration pipelines finish loading or transforming data in your warehouse.
Detect when fact tables, dimension tables, or materialized views refresh with new data.
React when teams create new external tables pointing to Azure Data Lake storage.
Execute transformations in Redbird and load output directly into dedicated SQL pool tables.
Trigger data integration pipelines with dynamic values from Databricks jobs or external events.
Programmatically manage view logic in your warehouse based on changes in source systems.
Launch downstream workflows when ETL jobs, model training runs, or feature pipelines finish.
Detect changes to Delta Lake tables and react to new data arriving in your lakehouse.
Trigger inference pipelines or reporting updates when models reach new lifecycle stages.
Load transformed data from Synapse or other sources into Databricks Delta tables with merge logic.
Launch Spark jobs or notebook runs dynamically in response to warehouse events or business triggers.
Programmatically manage data catalog lineage, tags, and documentation as data flows between platforms.
Sync Azure Synapse with Databricks in minutes. Redbird AI handles schema mapping, incremental loads, and cross-platform orchestration so your data and ML teams can focus on analysis instead of pipeline maintenance.