Redbird AI connects your workflow orchestration platform to your enterprise database. Stop manually tracking pipeline runs in Oracle tables, copying DAG metadata into database logs, or building custom scripts to sync execution states across systems.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Capture every task instance run, duration, status, and retry attempt from Airflow and write structured records to Oracle audit tables. Maintain comprehensive pipeline execution history in your enterprise database for compliance reporting and operational analytics without custom logging code.
Monitor Oracle tables for data volume changes and automatically kick off Airflow transformation pipelines when staging tables reach processing thresholds. Eliminate scheduled polling jobs and enable event-driven data processing workflows that respond to actual database activity.
Route every Airflow task failure, timeout, and SLA miss directly into Oracle DB incident tracking tables used by operations teams. Enable centralized monitoring across all enterprise systems where Oracle serves as the single source of truth for operational events.
Query Oracle data dictionary views to identify stale partitions and modified table segments, then dynamically trigger Airflow DAGs that refresh only changed data. Optimize incremental ETL patterns by orchestrating pipelines based on actual database structure changes rather than full table scans.
Move historical Airflow task logs, XCom data, and rendered templates into Oracle archival tablespaces after DAG runs complete. Preserve long-term workflow execution records in your enterprise database while keeping Airflow metadata database lean and performant.
Run Airflow-scheduled performance analysis queries against Oracle system views and write formatted reports to dedicated Oracle reporting tables. Automate database health monitoring workflows that feed executive dashboards and capacity planning systems backed by Oracle DB.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Airflow and Oracle DB 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 structures, task dependencies, and execution metadata alongside Oracle DB's schema objects, partition strategies, and enterprise data models.
Redbird's AI parses Airflow task instances, DAG runs, XCom payloads, and connection configs while simultaneously understanding Oracle table structures, view definitions, partition keys, and PL/SQL procedures. It intelligently maps workflow execution states to Oracle transactional tables, handles Oracle-specific data types like NUMBER and CLOB, and navigates complex schema hierarchies across tablespaces. The AI adapts to your Oracle naming conventions and automatically resolves dependencies between Airflow operators and Oracle database objects.
faster than building custom Airflow operators for Oracle DB
Redbird can pull from Airflow and Oracle DB 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 Oracle DB.
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 Oracle DB, or from Oracle DB 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 workflows from any Airflow pipeline event or Oracle DB schema change, then automate actions across both systems.
Fires when an Airflow DAG finishes execution with success, failure, or upstream_failed state.
Triggers when any Airflow task instance enters a failed state after exhausting retry attempts.
Activates when an Airflow task exceeds its defined SLA threshold for completion time.
Initiate a specific Airflow DAG with custom configuration parameters and execution date.
Reset Airflow task instance states to enable re-execution of specific pipeline steps.
Set or modify Airflow Variables used for dynamic pipeline configuration and feature flags.
Fires when Oracle table row counts cross configured thresholds or experience significant deltas.
Triggers when Oracle automatically creates a new table partition based on range or interval settings.
Activates when schema objects are created, altered, or dropped in monitored Oracle schemas.
Write structured data rows into Oracle tables with automatic type mapping and transaction handling.
Call Oracle PL/SQL procedures with input parameters and capture output values or result sets.
Gather Oracle optimizer statistics on tables and indexes to maintain query performance.
Sync Airflow pipelines with Oracle DB in minutes. Let Redbird AI handle the orchestration logic while you focus on building reliable data workflows across your enterprise stack.