Automate the data flow between your cloud data lake and enterprise database. Stop writing custom export scripts, manually staging backups, or building brittle ETL jobs to sync S3 files with Oracle tables.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically extract completed transactions, customer records, or order data from Oracle DB on a schedule or trigger. Redbird formats and writes compressed Parquet or CSV files to your S3 bucket, partitioned by date or business unit for downstream analytics.
When your data pipeline writes transformed files to S3, Redbird detects new objects and loads them into Oracle staging or production tables. Handles schema mapping, type conversion, and incremental upserts so applications get fresh data without manual imports.
Schedule full or incremental backups of mission-critical Oracle tables to S3 for disaster recovery. Redbird manages backup rotation, compression, and archival tiering so you maintain compliance without manual export jobs or DBA intervention.
When vendors drop invoice files, product catalogs, or supplier data into your S3 bucket, Redbird validates format and loads them into Oracle tables your ERP system reads from. Eliminates manual file handling and reduces integration delays from days to minutes.
Keep product hierarchies, customer dimensions, or chart-of-accounts data from Oracle available in S3 for data science and BI teams. Redbird detects changes in Oracle master tables and publishes updated extracts to S3 so everyone works from current reference data.
Monitor schema mismatches, constraint violations, or unexpected null values when Redbird imports S3 files into Oracle. Get immediate Slack or email alerts with row-level diagnostics so data engineers can fix upstream issues before they impact production reports.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Amazon S3 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 complex schema structures and S3's object storage patterns, so you can automate bidirectional data movement without custom code or fragile scripts.
Redbird automatically maps Oracle column types, constraints, and partitions to S3 file formats like Parquet, CSV, and JSON. It handles CLOB and BLOB conversions, respects Oracle sequence generators, and preserves precision for NUMBER fields. On the S3 side, Redbird parses nested JSON, infers schemas from unstructured files, and partitions large datasets by your business logic so Oracle loads stay efficient.
faster than building custom PL/SQL export jobs and S3 SDK scripts
Redbird can pull from Amazon S3 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 Amazon S3 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 Amazon S3 into Oracle DB, or from Oracle DB back into Amazon S3. 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 S3 upload or Oracle database event, then take action across both systems.
Fires when a file matching your pattern appears in a specified S3 bucket or prefix.
Detects when an existing S3 object is overwritten or updated with new content.
Triggers when S3 object tags or metadata properties are added or updated.
Write data to S3 as CSV, Parquet, or JSON with custom partitioning and compression.
Move S3 objects to Glacier storage for long-term retention and cost optimization.
Remove S3 files matching criteria or apply lifecycle expiration policies programmatically.
Fires when records are added or modified in a specified Oracle table or view.
Runs a SQL query on schedule and triggers when results meet your conditions.
Monitors table size and triggers when record count crosses a defined limit.
Load S3 file contents into Oracle tables with merge logic and conflict resolution.
Call Oracle PL/SQL procedures with parameters derived from S3 file metadata or contents.
Clear Oracle staging tables and perform full refresh loads from S3 sources.
Sync Amazon S3 with Oracle DB in minutes, not sprints. Redbird handles the schema mapping, type conversion, and orchestration so your data engineers can focus on higher-value work.