Redbird AI automates data pipelines between Azure Blob Storage and PostgreSQL. Stop manually downloading CSVs, writing transformation scripts, and babysitting batch loads. Let AI handle file-to-table workflows end-to-end.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically detect new files in Azure Blob containers and load them into the correct PostgreSQL tables. Redbird maps columns, handles schema evolution, and manages data type conversions without manual ETL code.
Run scheduled queries in PostgreSQL and write results to Azure Blob Storage as partitioned files. Perfect for feeding data lakes, sharing datasets with other teams, or archiving snapshots for compliance.
Trigger incremental upserts to PostgreSQL whenever new files land in specific Blob containers. Redbird identifies changed records, deduplicates data, and maintains update timestamps without custom merge logic.
Before importing files into PostgreSQL, join them with existing reference tables to add context, validate keys, and flag anomalies. Redbird handles the lookup logic and surfaces data quality issues automatically.
Move aged-out transactional data from PostgreSQL to Azure Blob Storage based on date thresholds. Keep your database performant while maintaining queryable archives in cheaper cloud object storage.
Monitor file loads for schema mismatches, null constraint violations, or unexpected row counts. Redbird detects issues during Azure-to-PostgreSQL syncs and notifies teams before bad data reaches production tables.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Azure Blob 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 understands Azure Blob Storage file formats and PostgreSQL schemas, so you can build pipelines in plain English instead of writing Python scripts and SQL transforms.
Redbird reads your Blob Storage directory structures, file naming patterns, and PostgreSQL table definitions to automatically map data between systems. It infers column mappings from CSV headers, handles JSON nesting, detects primary keys, and suggests indexes. When schemas change, Redbird adapts without breaking pipelines—adding columns, coercing types, and preserving backwards compatibility.
faster than building custom Azure-to-Postgres ETL pipelines
Redbird can pull from Azure Blob 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 Azure Blob 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 Azure Blob Storage into PostgreSQL, or from PostgreSQL back into Azure Blob 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 event in Azure Blob Storage or any database change in PostgreSQL.
Trigger when a new blob appears in a specified container or path prefix.
Detect when an existing blob is updated or replaced with new content.
Run on a schedule to check for new or changed files matching a pattern.
Write files to Azure Blob containers with custom naming and folder structures.
Move processed files to archive containers or delete them after successful ingestion.
Fetch blob data, parse CSV/JSON/Parquet, and prepare for downstream transformation.
Trigger when new records appear in a specified PostgreSQL table.
Detect updates to existing rows based on timestamp columns or change tracking.
Run a SQL query on a schedule and trigger workflows with the result set.
Write new records or update existing ones using primary key matching and merge logic.
Execute parameterized queries for transformations, aggregations, or data validation.
Dynamically create tables or add columns to accommodate incoming data structures.
Sync Azure Blob Storage with PostgreSQL in minutes, not weeks. Redbird handles the infrastructure so your team can focus on insights, not data plumbing.