Redbird AI syncs your Airflow pipeline orchestration with Azure Synapse analytics workloads automatically. Stop manually coordinating DAG runs with warehouse refreshes, copying pipeline metadata into tables, or building custom scripts to trigger Synapse jobs from Airflow tasks.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically scale up Synapse SQL pools before scheduled Airflow ETL jobs run and scale down after completion. Redbird monitors your DAG execution windows and adjusts compute resources to optimize cost and performance without manual intervention.
Sync task status, duration, retries, and failure logs from Airflow into Synapse tables automatically. Data teams get a unified warehouse view of pipeline health alongside business metrics, enabling SQL-based analysis of data quality and SLA performance.
Start downstream Airflow workflows automatically when Synapse integration pipelines finish loading data. Redbird bridges the orchestration gap between Azure-native and Airflow-managed processes, eliminating polling scripts and manual triggers.
Capture Synapse query execution metrics and route them through Airflow archival pipelines to long-term storage. Redbird extracts DMV statistics and hands off to your existing Airflow data lake ingestion patterns without custom connectors.
Cross-reference Airflow task failures with Azure Synapse resource utilization patterns in real-time. Redbird analyzes both systems to surface when pipeline issues stem from warehouse concurrency limits, helping teams troubleshoot root causes faster.
Automatically trigger Synapse view refreshes the moment upstream Airflow pipelines complete incremental data loads. Redbird ensures analytical workloads always query the latest transformed data without manual coordination between orchestration and warehouse layers.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Airflow and Azure Synapse 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 Airflow's DAG structure, task dependencies, and execution states alongside Azure Synapse's workspace organization, SQL pools, and pipeline activities.
Redbird's AI maps Airflow task operators, XComs, and connection objects to Azure Synapse dedicated SQL pools, Spark pools, and integration datasets automatically. It recognizes when DAG tasks write to staging tables that feed Synapse analytical queries, understands your retry logic and SLA requirements, and translates orchestration events into warehouse actions. No manual schema mapping or brittle API configuration required.
faster than building custom Airflow operators for Synapse orchestration
Redbird can pull from Airflow and Azure Synapse 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 Airflow or Azure Synapse.
SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.
Push data from Airflow into Azure Synapse, or from Azure Synapse back into Airflow. 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 Airflow DAG event or Azure Synapse workspace activity and trigger actions across your entire data stack.
Fires when an Airflow DAG finishes execution with success, failure, or upstream_failed state.
Triggers when an Airflow task runs longer than its defined SLA threshold.
Activates when an Airflow task attempts retry after initial failure.
Initiates an Airflow DAG execution with optional configuration and runtime parameters.
Marks an Airflow task instance as success, failed, or skipped programmatically.
Pushes data into Airflow XCom for cross-task communication within DAG runs.
Fires when an Azure Synapse integration pipeline finishes with succeeded or failed status.
Triggers when a dedicated SQL pool changes service level or pauses/resumes.
Activates when a Synapse Spark application completes execution in a Spark pool.
Runs T-SQL commands against a Synapse dedicated SQL pool or serverless endpoint.
Triggers an Azure Synapse integration pipeline with parameterized input values.
Rebuilds a Synapse SQL materialized view to reflect latest underlying data changes.
Sync Airflow pipeline orchestration with Azure Synapse analytics automatically. Redbird AI eliminates the custom integration code between your workflow platform and enterprise data warehouse.