Redbird AI automates the flow between your GCP data lake and enterprise Oracle systems. Stop manually exporting database snapshots, writing custom ETL scripts, and building brittle file-based sync jobs between cloud storage and on-premise databases.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically export aging Oracle transaction tables to partitioned Parquet files in Cloud Storage based on retention policies. Redbird handles incremental extraction, compression, and folder structure organization. Perfect for regulatory compliance in finance and healthcare.
Ingest CSV, JSON, or Parquet files from GCS buckets directly into Oracle staging schemas. Redbird maps file structures to Oracle table definitions, handles data type conversions, and manages batch loading. Enables hybrid cloud-to-on-premise data flows.
Mirror Oracle customer, product, and reference tables to Cloud Storage as the staging layer for BigQuery ingestion. Redbird detects schema changes, handles incremental updates, and maintains data freshness. Connects transactional systems to cloud analytics without custom middleware.
Automate recovery workflows by importing Oracle RMAN backups or data pump exports stored in GCS Coldline or Archive storage. Redbird orchestrates retrieval, decompression, and import validation. Reduces RTO for disaster recovery scenarios.
Update Oracle customer or transaction tables with predictions, scores, or classifications generated by GCP Vertex AI and saved to Cloud Storage. Redbird joins model outputs with database keys and handles bulk updates. Closes the loop between ML pipelines and operational systems.
Monitor scheduled Oracle-to-GCS export jobs and trigger notifications when files don't arrive, are corrupted, or schema mismatches occur. Redbird validates file completeness against Oracle source row counts and provides diagnostic context for data engineering teams.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Google Cloud 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 Oracle's enterprise schema structures and Cloud Storage's object hierarchy — connecting transactional databases with cloud data lakes without custom code.
Redbird automatically maps Oracle table structures, data types, and constraints to Cloud Storage file formats like Parquet, Avro, and JSON. It understands Oracle partitioning schemes, handles CLOB and BLOB columns, and translates DATE and TIMESTAMP types to GCS-compatible formats. The AI recognizes nested JSON structures in Oracle 21c and maps them to Cloud Storage object hierarchies, while handling character encoding, NULLs, and precision differences between systems.
faster than building Oracle-to-GCS pipelines with custom PL/SQL and gsutil scripts
Redbird can pull from Google Cloud 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 Google Cloud 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 Google Cloud Storage into Oracle DB, or from Oracle DB back into Google Cloud 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 new files landing in Cloud Storage or table changes in Oracle — Redbird handles the rest.
Trigger when CSV, JSON, Parquet, or other files arrive in specified GCS buckets or prefixes.
Detect when existing Cloud Storage objects are updated or replaced with new versions.
Trigger when objects move between storage classes like Standard, Nearline, Coldline, or Archive.
Export Oracle query results or table snapshots to GCS as Parquet, Avro, CSV, or JSON files.
Organize files into year/month/day or custom partition hierarchies in Cloud Storage buckets.
Move aging Oracle backups or historical extracts to low-cost GCS archive tiers automatically.
Detect inserts in Oracle transactional tables using triggers or change data capture mechanisms.
Trigger on UPDATE operations in Oracle tables, filtered by specific columns or WHERE conditions.
Run on a cron schedule to extract Oracle data at regular intervals for Cloud Storage sync.
Insert rows from Cloud Storage files into Oracle staging schemas with automatic type conversion.
Merge or upsert Oracle records using lookup values from GCS-hosted datasets or ML outputs.
Call Oracle PL/SQL procedures triggered by Cloud Storage events, passing file metadata as inputs.
Stop building custom scripts to sync Google Cloud Storage with Oracle DB. Redbird AI connects your enterprise database to cloud storage with intelligent automation that adapts to your schemas and workflows.