Redbird AI automates cross-cloud data movement between AWS and Azure storage. Stop writing custom Lambda functions and AzCopy scripts to sync files, replicate datasets, or orchestrate multi-cloud pipelines. Let AI handle the file transfers, transformations, and monitoring.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically copy new files from production S3 buckets to Azure Blob Storage as backup. Maintain synchronized copies across cloud providers for disaster recovery without managing replication scripts or monitoring transfer jobs manually.
Move processed data files from Azure Blob hot tier to S3 Glacier or Intelligent-Tiering automatically. Optimize storage costs by archiving historical datasets to AWS while keeping recent data in Azure for active workloads.
Push analytics-ready Parquet or CSV files from AWS data lake to Azure Blob Storage when transformation jobs complete. Enable Power BI and Azure Synapse to access fresh datasets without rebuilding pipelines or manual file transfers.
Copy Event Hub capture files from Azure Blob to S3 automatically for unified storage. Consolidate streaming data from Azure workloads into your AWS-based data lake without writing custom transfer orchestration.
Sync trained models and feature stores from SageMaker output buckets to Azure Blob Storage. Deploy the same ML artifacts across AWS and Azure environments without maintaining separate training pipelines or manual artifact uploads.
Orchestrate file movement between Azure Data Factory landing zones and S3 pipeline stages. Chain multi-cloud transformations by automatically transferring intermediate datasets when processing completes on either platform.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Amazon S3 and Azure Blob Storage 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 S3 bucket structures, object metadata, and versioning alongside Azure Blob containers, storage tiers, and access policies to orchestrate intelligent cross-cloud transfers.
Redbird's AI automatically maps S3 prefixes to Blob container hierarchies, preserves object metadata across platforms, and handles storage tier optimization. It understands bucket policies and SAS tokens, manages versioning differences, and orchestrates transfer jobs that respect both AWS and Azure API rate limits. The system recognizes file formats like Parquet, Avro, and JSON, enabling intelligent filtering and transformation during cross-cloud movement.
faster than building custom Lambda-to-Azure Functions sync pipelines
Redbird can pull from Amazon S3 and Azure Blob Storage 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 Amazon S3 or Azure Blob Storage.
SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.
Push data from Amazon S3 into Azure Blob Storage, or from Azure Blob Storage back into Amazon S3. 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 any S3 or Azure Blob event—new uploads, object updates, container changes—and take action across both clouds instantly.
Trigger when files land in specific S3 buckets or prefix paths.
Detect when S3 object tags, storage class, or metadata changes.
React to new object versions or deletion markers in versioned buckets.
Transfer files to S3 buckets with specified storage class and metadata.
Modify S3 object properties, tags, or lifecycle configurations programmatically.
Move S3 objects to Glacier or Deep Archive storage classes automatically.
Trigger when new blobs arrive in specific containers or virtual directories.
Detect when blobs move between hot, cool, or archive access tiers.
React to new blob snapshots or version-level changes in containers.
Write files to Azure Blob Storage with specified tier and metadata properties.
Modify blob index tags, properties, or access tier programmatically.
Transition blobs to cool or archive storage for cost optimization.
Stop maintaining custom cross-cloud transfer scripts. Redbird AI connects Amazon S3 and Azure Blob Storage with intelligent automation that understands your multi-cloud data architecture.