Redbird AI automates the data flow between your Oracle transactional systems and Azure Synapse analytics platform. Stop writing custom ETL scripts, managing complex SSIS packages, or manually reconciling enterprise data between your OLTP source and cloud warehouse.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically extract high-volume order, invoice, and customer data from Oracle Database and load it into Azure Synapse for analytics. Redbird handles incremental updates, type mapping between Oracle and Synapse, and partition management without custom code.
Write calculated metrics, forecast data, and analytical summaries from Synapse Spark jobs back into Oracle DB tables that power business applications. Keep operational systems informed by analytical insights without building reverse ETL pipelines.
Monitor Oracle data dictionary for column additions, type changes, or new tables and propagate those changes to corresponding Synapse external tables or managed schemas. Eliminate the manual coordination between DBAs and analytics engineers when source schemas evolve.
Run validation queries in Synapse against freshly-loaded Oracle data and trigger alerts when null rates spike, record counts diverge, or referential integrity breaks. Catch upstream Oracle data issues before they cascade through your analytics stack.
Automatically identify and extract historical Oracle records beyond retention windows, load them into Synapse's integrated data lake as Parquet files, and maintain queryable external tables. Reduce Oracle storage costs while preserving long-term analytical access.
Join clickstream data, product usage patterns, and predictive scores computed in Synapse with Oracle's master customer tables. Redbird handles the lookups, batch updates, and transaction management to keep Oracle systems enriched with analytical context.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Azure Synapse 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 AI understands both Oracle's enterprise relational structures and Azure Synapse's distributed analytics architecture, so you can automate data movement without becoming an expert in both.
Redbird automatically maps Oracle NUMBER, VARCHAR2, and CLOB types to Synapse-compatible schemas, handles Oracle's partition structures and Synapse distribution strategies, and manages the connection pooling and batch sizing differences between OLTP and analytical workloads. It understands Oracle system tables, data dictionary views, Synapse serverless SQL pools, and dedicated SQL pools — so you describe what data should flow, and Redbird handles the implementation details across both systems.
faster than building Oracle-to-Synapse pipelines with SSIS or ADF
Redbird can pull from Azure Synapse 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 Synapse 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 Synapse into Oracle DB, or from Oracle DB 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 Oracle transactional events or Synapse analytical queries, and take action across both systems.
Fire when a scheduled analytical query or materialized view refresh finishes running in a dedicated SQL pool.
Trigger when a Synapse Spark notebook or pipeline outputs new Parquet, Delta, or CSV files to the data lake.
React to Synapse pipeline run status changes, including failures, retries, or successful completions.
Insert, update, or upsert data into Synapse managed tables with distribution and partition awareness.
Run T-SQL stored procedures for data transformations, aggregations, or maintenance operations.
Define new Synapse external tables pointing to lake storage with schema inference and format detection.
Detect inserts in specified Oracle tables using timestamp columns, SCN tracking, or LogMiner CDC.
Fire when a table reaches a specified size, indicating batch processing readiness or archival needs.
Run a custom SQL query on Oracle DB at defined intervals and trigger when results meet conditions.
Write batched data from Synapse into Oracle tables with transaction management and error handling.
Perform keyed updates to Oracle rows with analytical results, enrichment data, or calculated fields.
Invoke Oracle stored procedures to trigger business logic, data processing, or application workflows.
Redbird AI eliminates the complexity of syncing Oracle DB with Azure Synapse. Connect your enterprise transactional data to your cloud analytics platform without writing another ETL script.