Automate the flow between pipeline orchestration and enterprise database operations. Stop manually syncing DAG runs with stored procedures, chasing down pipeline failures in database logs, or building custom scripts to coordinate workflow state with SQL Server tables.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Monitor SQL Server job completion and automatically initiate downstream Airflow pipelines. Redbird detects when stored procedures finish, validates success status, and kicks off the next data transformation workflow without manual intervention or polling scripts.
Capture every DAG run, task attempt, and execution duration in SQL Server for enterprise compliance and reporting. Automatically populate audit tables with pipeline metadata, making it easy for BI teams to analyze orchestration patterns and meet SOX requirements.
Monitor SQL Server wait stats and blocking queries to prevent pipeline failures. When database contention is detected, Redbird automatically pauses resource-intensive Airflow DAGs, sends alerts to the data team, and resumes once conditions normalize.
Enable business users to configure pipeline behavior through familiar SQL Server tables. Changes to scheduling windows, batch sizes, or target schemas are automatically picked up by Airflow DAGs before each run, eliminating code deployments for configuration changes.
Automatically extract structured log data from Airflow task instances and load into SQL Server for extended retention. Create a queryable history of every pipeline execution, error message, and retry attempt beyond Airflow's default retention window.
Sync validation outcomes from Airflow data quality checks into SQL Server reporting tables. Automatically populate dashboards with row counts, null checks, and schema drift detection results, giving business analysts visibility into pipeline health through Power BI.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Airflow and SQL Server 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 and task dependencies alongside SQL Server's table schemas, stored procedures, and job scheduling architecture.
Redbird maps Airflow XComs, task states, and DAG runs to SQL Server's relational model automatically. Our AI understands how to extract structured metadata from Airflow's internal tables, correlate pipeline execution with SQL Server Agent jobs, and handle datetime conversions between UTC-based workflow timestamps and SQL Server's local timezone storage. No custom operators or connection hooks required.
faster than building custom Airflow operators and SQL Server connection scripts
Redbird can pull from Airflow and SQL Server 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 SQL Server.
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 SQL Server, or from SQL Server 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 SQL Server database operation across your enterprise stack.
Fire when an Airflow DAG finishes with success, failure, or any terminal state.
Trigger when a specific task within a DAG encounters an error or exceeds retry limits.
Detect when an expected DAG run doesn't start on time due to resource constraints or dependencies.
Programmatically start an Airflow DAG with custom configuration parameters.
Modify Airflow variables that control pipeline behavior without code deployments.
Reset a failed task to allow manual or automatic retry from a specific point.
Fire when a SQL Server stored procedure finishes execution with success or error status.
Trigger when a SQL Server table grows beyond a specified row count, indicating ready data.
Detect when a scheduled database job encounters an error or timeout condition.
Run a SQL Server stored procedure with parameters from pipeline context or previous tasks.
Write structured data from Airflow metadata or external sources into SQL Server tables.
Modify configuration or status records that control downstream processing logic.
Stop building custom Airflow operators and SQL Server integration scripts. Redbird connects your orchestration layer with enterprise databases automatically, letting your data team focus on pipelines instead of plumbing.