Redbird AI automates the flow between your GCS data lake and PostgreSQL databases. Stop writing custom scripts to load CSVs, sync bucket changes, or transform cloud files into relational tables—let AI handle the orchestration, schema mapping, and incremental updates across your storage and database layers.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
When new data files land in your GCS bucket, Redbird detects the schema, maps columns to your Postgres tables, and executes incremental or full loads. Perfect for daily data dumps, vendor feeds, or ETL pipeline outputs that need to become queryable operational data.
Run scheduled SQL queries against your production Postgres database and write results to Cloud Storage as Parquet or CSV. Redbird handles partitioning, compression, and naming conventions so data engineers can consume clean, versioned datasets in BigQuery or Vertex AI without impacting transactional workloads.
Ingest change data capture files stored in GCS—from sources like Debezium or Fivetran—into Postgres staging tables. Redbird parses JSON or Avro changelog formats, deduplicates records, and applies inserts, updates, and deletes to keep your operational database synchronized with upstream systems.
Export full or incremental snapshots of critical Postgres tables to Cloud Storage on a schedule. Redbird applies intelligent partitioning by date, compresses files for cost efficiency, and integrates with GCS lifecycle rules so your backups automatically transition to Nearline or Coldline storage after retention periods.
When new rows appear in your Postgres tables, pull enrichment data from GCS—like product catalogs, geocoding lookups, or third-party reference files—and update columns in place. Redbird manages joins across storage formats and keeps your operational database current without manual imports.
Monitor incoming GCS files for schema drift, missing columns, or data quality issues before they hit your Postgres tables. Redbird validates structure against expected schemas, runs custom SQL checks, and notifies teams when files don't meet standards—preventing bad data from polluting production databases.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Google Cloud Storage 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's AI understands both GCS object structures and PostgreSQL schemas—so you can automate data movement without writing parsing logic or migration scripts.
Redbird inspects file formats in your GCS buckets—CSV headers, Parquet schemas, JSON structures—and automatically maps them to Postgres table definitions. It detects column types, handles nullability and constraints, and generates the appropriate COPY or INSERT statements. When schemas evolve, Redbird alerts you to drift and suggests migrations, keeping your database in sync with upstream data sources without brittle glue code.
faster than writing custom Python scripts to sync GCS and Postgres
Redbird can pull from Google Cloud Storage 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 Google Cloud Storage 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 Google Cloud Storage into PostgreSQL, or from PostgreSQL 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 workflows from any file upload in Cloud Storage or table change in PostgreSQL—Redbird listens to both systems in real time.
Fires when a new object appears in a specified GCS bucket or prefix path.
Triggers when an existing file in Cloud Storage is overwritten with new content.
Runs on a schedule to detect new or modified files based on timestamps or metadata.
Exports data to Cloud Storage as CSV, Parquet, or JSON with custom naming and partitioning.
Moves or copies objects to Nearline, Coldline, or Archive tiers based on lifecycle rules.
Removes files from GCS or renames them after successful processing or validation.
Fires when a record is added to a specified PostgreSQL table or view.
Triggers when existing records are modified and meet a SQL filter or status change.
Runs a SQL query on a schedule and triggers workflows based on result sets or row counts.
Imports CSV, JSON, or Parquet data from Cloud Storage into a Postgres table with schema mapping.
Executes UPDATE statements to merge external data from GCS into existing Postgres records.
Applies DDL commands to add columns, create indexes, or alter tables based on upstream schema evolution.
See how Redbird AI syncs Google Cloud Storage and PostgreSQL in minutes—no custom scripts, no maintenance overhead. Just intelligent automation between your cloud storage and relational databases.