Automate the flow of data from Azure to AWS without building custom pipelines. Stop manually downloading files, transforming CSVs, and running COPY commands. Redbird AI syncs your Blob Storage data into Redshift tables automatically — no engineering required.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
When new data files land in Azure Blob Storage containers, Redbird automatically detects them, validates structure, and loads them into corresponding Redshift tables. Handles schema mapping, type conversion, and incremental loads without custom ETL scripts.
Capture streaming logs and events stored in Blob Storage and push them to Redshift staging tables. Redbird handles batching, deduplication, and transformation so your analytics queries always run on fresh data.
Monitor partitioned datasets in Azure Data Lake Storage and automatically sync new partitions to your Redshift warehouse. Redbird understands partition schemes and incrementally updates tables without full reloads.
Export large analytical datasets, aggregated reports, or historical snapshots from Redshift and store them in Azure Blob Storage. Useful for cross-cloud reporting, compliance, and long-term archival on Azure infrastructure.
Before inserting raw files into Redshift, Redbird queries existing warehouse tables to enrich incoming data with business logic, dimension keys, or validation flags. Ensures clean, contextualized data lands in your warehouse.
Monitor file ingestion workflows and notify teams immediately when schema mismatches, data quality issues, or connection failures occur. Redbird logs detailed error context so engineers can troubleshoot cross-cloud pipelines faster.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Azure Blob Storage 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 Azure Blob Storage file structures and Redshift table schemas, so you can automate cross-cloud data workflows without writing code.
Redbird reads your Blob Storage container hierarchies, file formats, and naming conventions, then maps them intelligently to Redshift schemas, column types, and distribution keys. It handles data type conversions between Azure and AWS, manages incremental updates, and optimizes COPY commands for performance. When schemas evolve, Redbird adapts automatically.
faster than building custom Azure-to-Redshift ETL pipelines
Redbird can pull from Azure Blob Storage 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 Azure Blob Storage 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 Azure Blob Storage into Redshift, or from Redshift 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 new files in Azure Blob Storage or fresh data in Redshift — Redbird handles both sides of the integration.
Trigger when a new blob is created in a specified Azure Storage container or path prefix.
Detect when an existing blob is updated, replaced, or its metadata changes.
Monitor for files with specific naming conventions, extensions, or folder structures in Blob Storage.
Write new blobs to Azure Storage from Redshift exports or other pipeline outputs.
Remove processed files or move them to archive tiers after successful ingestion into Redshift.
Replicate or reorganize files across Azure Storage accounts or containers as part of data workflows.
Start workflows when fresh data lands in a Redshift table from any source.
Trigger actions when analytical queries return values above or below specified business thresholds.
Monitor for column additions, type changes, or distribution key updates in Redshift tables.
Insert or upsert rows from Azure Blob Storage files into Redshift tables with automatic schema mapping.
Execute SQL queries on Redshift and send result sets back to Azure or downstream systems.
Dynamically provision new Redshift tables or alter existing schemas based on incoming Azure data structures.
Sync Azure Blob Storage and Redshift in minutes. Redbird handles authentication, schema mapping, and ongoing maintenance so your cross-cloud data pipelines just work.