Automate the flow between your data lake and relational database. Stop manually writing ETL scripts, parsing CSV files, or building custom loaders to move data from S3 buckets into PostgreSQL tables.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically detect new files landing in S3 buckets and load them into the correct PostgreSQL tables. Redbird maps columns, handles schema evolution, and transforms data types without custom scripts.
Run scheduled or triggered queries against PostgreSQL and write results to S3 as partitioned Parquet or CSV files. Perfect for feeding data warehouses, ML pipelines, or archival workflows.
Automatically load the latest partition from your S3 data lake into PostgreSQL staging tables every night. Enables analysts to query fresh data with SQL tools without touching infrastructure.
Export full or incremental PostgreSQL table snapshots to S3 with automatic timestamping and versioning. Keep cost-effective backups separate from your primary database infrastructure.
When ML pipelines write prediction files to S3, automatically parse and insert results into PostgreSQL tables. Makes model outputs immediately queryable by your application backend.
As raw event files arrive in S3, join them with customer or product data from PostgreSQL, then write enriched files back to S3. Builds analysis-ready datasets without Spark jobs.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Amazon S3 and PostgreSQL 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 S3 object structures and PostgreSQL schemas, so it can intelligently map files to tables without brittle configuration.
Redbird automatically infers structure from CSV, JSON, and Parquet files in S3, then maps columns to PostgreSQL table schemas. It handles type conversions, null values, and nested JSON fields. When schemas change, Redbird detects differences and adapts mappings, so your pipelines don't break when a new column appears in your data lake.
faster than writing custom Python ETL scripts for S3-to-PostgreSQL loads
Redbird can pull from Amazon S3 and PostgreSQL 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 PostgreSQL.
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 PostgreSQL, or from PostgreSQL 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 new files in S3 buckets or database events in PostgreSQL, and take action in either system.
Trigger when a new object is uploaded to a specific S3 bucket or prefix path.
Detect when an existing S3 object is updated or replaced with a new version.
Run on a schedule to check for new or changed files matching specific patterns.
Fetch a file from S3 and parse it as CSV, JSON, Parquet, or other structured formats.
Upload new files or overwrite existing objects in an S3 bucket with specified content.
Copy or move files between S3 buckets or prefixes after processing.
Trigger when new records are added to a specified PostgreSQL table.
Detect when existing rows in a table are modified based on timestamp or trigger conditions.
Run a SQL query on a schedule and use results to trigger downstream actions.
Load new data into a PostgreSQL table with automatic schema matching and type conversion.
Modify rows in a table based on matching keys or conditions from external data.
Execute arbitrary SQL commands for transformations, aggregations, or data cleanup.
Stop building one-off scripts to move data between S3 and PostgreSQL. Redbird automates the entire pipeline with AI that adapts to your schemas.