Automate data pipelines between your operational database and analytics warehouse. Stop manually exporting CSVs, writing ETL scripts, or stitching together complex data workflows. Redbird AI syncs PostgreSQL tables to Redshift and keeps your warehouse up-to-date automatically.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically sync transactional data from PostgreSQL to Redshift as changes occur. Keep your data warehouse fresh without manual exports or batch jobs. Enable analysts to query production data without impacting operational systems.
Move aging records from PostgreSQL to Redshift based on date thresholds or archive policies. Free up operational database space while maintaining complete historical records for compliance. Automatically partition and compress archived data in Redshift.
Capture insert-only event streams from PostgreSQL and append to Redshift fact tables. Detect new rows based on timestamps or sequence IDs and sync only changed records. Build efficient event warehouses without full table scans.
Write computed metrics, customer scores, or ML predictions from Redshift back to PostgreSQL for use in applications. Keep operational systems enriched with insights without complex reverse ETL pipelines. Update PostgreSQL records when Redshift aggregations complete.
Monitor PostgreSQL schema evolution and detect column additions, type changes, or table modifications. Automatically flag breaking changes before they disrupt downstream Redshift pipelines. Keep warehouse schemas in sync with source system updates.
Replicate reference and lookup tables from PostgreSQL to Redshift with change detection. Maintain slowly changing dimensions and preserve historical versions automatically. Ensure fact tables can join to current and historical dimension snapshots.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize PostgreSQL and Redshift 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 PostgreSQL schemas and Redshift table structures, automatically mapping data types, handling encoding, and optimizing replication patterns.
Redbird automatically translates PostgreSQL data types to Redshift-compatible formats, handling JSONB fields, arrays, and custom types. It detects primary keys and indexes in PostgreSQL to optimize incremental sync strategies. Distribution keys, sort keys, and compression encodings are suggested based on your PostgreSQL schema patterns. Change data capture runs without impacting production performance.
faster than building custom ETL scripts to replicate PostgreSQL to Redshift
Redbird can pull from PostgreSQL and Redshift 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 PostgreSQL or Redshift.
SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.
Push data from PostgreSQL into Redshift, or from Redshift back into PostgreSQL. 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 PostgreSQL table changes or Redshift query completions and execute actions across your entire stack.
Trigger when a record is added to any PostgreSQL table based on timestamp or sequence columns.
Detect when existing records change and match specific field values or conditions.
Fire when columns are added, removed, or altered in PostgreSQL tables.
Run custom SQL queries with dynamic parameters from workflow data.
Write multiple records to PostgreSQL tables in a single transaction with conflict handling.
Modify existing rows based on primary key or unique constraint matches.
Trigger when scheduled or ad-hoc Redshift queries finish running successfully.
Fire when materialized views or tables complete their rebuild or refresh cycle.
Detect when COPY commands or bulk inserts add new data to Redshift tables.
Execute complex aggregations or window functions and return results to workflow.
Load data from S3 into Redshift tables using optimized COPY commands with format options.
Build new tables from query results with automatic distribution and sort key optimization.
Start syncing PostgreSQL to Redshift in minutes. Redbird AI handles schema mapping, incremental updates, and data type conversion so you can focus on analytics, not infrastructure.