Sync analytical data from BigQuery to PostgreSQL for operational use, or replicate transactional data to BigQuery for analytics—without writing custom ETL scripts or managing pipeline infrastructure. Redbird AI handles schema mapping, incremental syncs, and transformation logic automatically.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically capture changes from PostgreSQL tables and load them into BigQuery datasets for warehouse-scale analysis. Redbird handles incremental syncs, type conversion, and partitioning strategy so your analytics team works with fresh operational data without impacting production performance.
Run complex aggregations and ML predictions in BigQuery, then write results back to PostgreSQL tables that power customer-facing dashboards or application logic. Keep analytical insights available to transactional systems with scheduled or event-triggered syncs.
Automatically move historical records from PostgreSQL to BigQuery based on age or activity thresholds. Reduce operational database size while preserving queryable access to complete historical datasets for compliance, trend analysis, and ML model training.
Score PostgreSQL customer or transaction records using BigQuery ML models, then write predictions back to operational tables. Enable real-time application behavior based on churn risk, lifetime value, or recommendation scores computed at warehouse scale.
Analyze A/B test performance in BigQuery, determine winning variants, and automatically update PostgreSQL configuration tables that control feature rollouts. Close the loop between analytics and application behavior without manual deployment steps.
Monitor PostgreSQL DDL events and automatically propagate schema modifications to corresponding BigQuery tables. Maintain synchronized data models across operational and analytical systems as your application evolves, preventing pipeline breaks and data quality issues.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize BigQuery 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 BigQuery's nested and repeated fields alongside PostgreSQL's relational schemas, automatically handling type mapping, partitioning strategies, and bidirectional sync requirements between warehouse and transactional systems.
Redbird's AI maps BigQuery ARRAY and STRUCT types to PostgreSQL JSON or normalized tables based on your query patterns. It recognizes PostgreSQL serial sequences, constraints, and indexes, then designs appropriate BigQuery partitioning and clustering schemes. The system handles timezone conversions, numeric precision differences, and ensures referential integrity when moving data between analytical and transactional contexts.
faster than building custom sync scripts between BigQuery and PostgreSQL
Redbird can pull from BigQuery 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 BigQuery 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 BigQuery into PostgreSQL, or from PostgreSQL back into BigQuery. 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 workflows from BigQuery query completions or PostgreSQL data changes, then automate actions across both systems without writing integration code.
Trigger when a scheduled BigQuery query finishes execution, making fresh analytical results available for downstream syncs.
Monitor BigQuery table size and trigger workflows when partition growth or total rows exceed defined limits.
Detect when new date-partitioned or ingestion-time data lands in BigQuery tables from streaming or batch loads.
Execute BigQuery SQL with dynamic parameters from workflow context to generate analytical datasets or aggregations.
Write workflow results to BigQuery tables with automatic schema detection, partitioning configuration, and expiration policies.
Extract BigQuery data to GCS buckets in formats optimized for external system consumption or backup archives.
Capture PostgreSQL INSERT or UPDATE events using logical replication to trigger near-real-time data sync workflows.
Run PostgreSQL queries on a schedule and trigger workflows when result sets meet specified conditions or thresholds.
Detect DDL changes like column additions or type modifications to propagate schema evolution to downstream systems.
Write data to PostgreSQL tables with conflict resolution, automatically handling primary key conflicts and constraint validation.
Invoke PostgreSQL functions or procedures with workflow data as parameters to trigger complex application logic.
Replace entire PostgreSQL table contents with fresh analytical results from BigQuery using optimized bulk insert operations.
Stop managing custom ETL scripts between BigQuery and PostgreSQL. Redbird AI connects your warehouse and operational database with intelligent syncs that adapt to schema changes and handle type mapping automatically.