Automate the flow between your Azure data lake and enterprise Oracle database. Stop writing custom scripts to load staged files into tables, manually reconciling blob uploads with database records, or building fragile ETL pipelines that break with every schema change.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically detect new files in Azure containers and load them into the correct Oracle tables with schema mapping. Redbird handles data type conversion, validates integrity, and logs load status back to both systems.
Export completed transactions, historical records, and aged-out partitions from Oracle to compressed Azure blobs on schedule. Maintain compliance archives while keeping your production database lean and performant.
Run parameterized Oracle queries and write results as partitioned parquet files in Blob Storage for analytics. Keep your data lake synchronized with enterprise source systems without manual exports or data engineering overhead.
Monitor file arrival times in Azure containers against Oracle table update timestamps. Detect broken upstream pipelines, missing data feeds, or stalled batch processes before they impact reporting and downstream systems.
Match Oracle database records with corresponding files in Blob Storage using custom join keys. Update Oracle tables with file metadata, processing status, or extracted content from documents and images stored in Azure.
Track inserts, updates, and deletes in Oracle tables and write change events as JSON to time-partitioned blobs. Build complete audit trails and enable event-driven architectures without modifying your Oracle application code.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Azure Blob Storage 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 both Azure Blob Storage container structures and Oracle database schemas, automatically mapping between unstructured file formats and relational table definitions.
Redbird analyzes your Oracle table structures, constraints, and data types while simultaneously understanding your Azure container organization, file naming conventions, and data formats. It automatically suggests mappings between CSV columns and Oracle fields, handles VARCHAR2-to-string conversions, respects foreign key relationships, and adapts when you add partitions or modify table definitions. No manual schema mapping configuration or brittle column-position dependencies.
faster than building custom Python scripts to sync Azure blobs with Oracle tables
Redbird can pull from Azure Blob Storage 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 Azure Blob Storage 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 Azure Blob Storage into Oracle DB, or from Oracle DB back into Azure Blob Storage. 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 blob uploads in Azure or data changes in Oracle — Redbird connects both systems bidirectionally.
Trigger when files are added to specific Azure Blob Storage containers or virtual directories.
Detect changes to blob tags, properties, or custom metadata fields in Azure Storage.
Fire when the number of blobs in a container exceeds or falls below specified limits.
Export data from any source and save formatted files to Azure Blob Storage containers.
Move Azure blobs between storage tiers based on age, usage, or business rules.
Tag blobs with custom metadata indicating load status, validation results, or lineage information.
Trigger workflows when records are added to specific Oracle tables or views.
Monitor Oracle tables and fire when record counts change beyond expected thresholds.
Run parameterized SQL queries on Oracle DB at specified intervals and trigger downstream actions.
Load data from any source into Oracle tables with automatic batching and error handling.
Modify existing Oracle rows based on join keys or filter criteria from external data sources.
Call existing Oracle procedures and functions as part of automated workflows.
Stop building fragile scripts to move data between Azure Blob Storage and Oracle DB. Let Redbird automate the pipelines so your team can focus on using the data, not moving it.