Connect Azure Blob Storage and
Google Cloud Storage with AI

Automate cross-cloud data movement between Azure and GCP storage layers. Stop manually copying files, running custom scripts, or building fragile sync jobs. Redbird orchestrates secure, bidirectional replication across your multi-cloud architecture.

No code required
Live in minutes
SOC 2 Type II

What you can automate today

Redbird gives your team ready-to-run workflows — just connect your accounts and go.

Replicate Azure container data to GCP buckets for multi-cloud redundancy

Automatically sync new and updated objects from Azure Blob containers to corresponding Google Cloud Storage buckets. Maintain consistent data availability across cloud providers for disaster recovery and geographic distribution. Preserve metadata and folder structures during cross-cloud transfer.

Mirror GCP data lake objects to Azure for analytics workloads

Copy datasets from Google Cloud Storage into Azure Blob Storage when files land in specific GCS buckets. Enable Azure-based analytics tools and teams to access data originally stored in GCP. Trigger Azure Data Factory or Synapse pipelines when replication completes.

Archive Azure hot-tier data to GCP Coldline for cost optimization

Move aging or infrequently accessed objects from Azure Blob hot storage to Google Cloud Storage Coldline buckets. Apply intelligent lifecycle policies across clouds based on access patterns and retention requirements. Reduce storage costs while maintaining accessibility across your multi-cloud infrastructure.

Sync processed BigQuery export files back to Azure data lake

When BigQuery jobs export results to Google Cloud Storage, automatically transfer those processed files to Azure Blob Storage containers. Make GCP-processed data immediately available to Azure-based applications and downstream consumers. Track lineage and maintain audit logs of cross-cloud data movement.

Replicate Azure machine learning training data to GCS for Vertex AI

Copy ML datasets and model artifacts from Azure Blob Storage to Google Cloud Storage when new training data arrives. Enable data science teams to leverage Vertex AI with data originating in Azure environments. Maintain consistent dataset versions across both cloud platforms.

Alert data teams when cross-cloud sync thresholds are breached

Monitor bidirectional replication jobs between Azure and GCP storage layers. Send notifications when transfer volumes exceed expected thresholds, sync lag increases, or specific file patterns appear. Maintain visibility into data movement across your multi-cloud architecture without custom monitoring code.

Live in four steps

No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.

01

Connect your accounts

Authorize Azure Blob Storage and Google Cloud Storage with OAuth or API credentials. Redbird never stores your data — it just passes through.

02

Describe what you want

Tell Redbird what to do in plain language — no SQL, no code, no configuration files required.

03

Review and activate

Redbird shows you exactly what it will do before running anything. Approve the workflow, set a schedule, and switch it on.

04

Let it run — and iterate

Workflows run on your schedule or on triggers. Every run is logged. Adjust with natural language at any time.

Built for data-driven teams

Redbird understands Azure Blob Storage container hierarchies and Google Cloud Storage bucket structures, intelligently mapping objects, metadata, and access patterns across cloud providers.

AI that reads blob metadata, object properties, and cloud-native schemas

Redbird automatically parses container names, folder paths, blob properties, content types, and custom metadata from Azure storage. It maps these to corresponding GCS bucket structures, object attributes, and storage classes. The AI handles differences in naming conventions, permission models, and lifecycle policies between Azure and GCP. You define sync rules in plain language — Redbird translates them into the right API calls, transfer protocols, and error handling for reliable cross-cloud replication.

Container-to-bucket mapping
Metadata preservation
Storage class translation
Access tier optimization
10×

faster than building custom cross-cloud sync with Azure Data Factory and Cloud Functions

No need for custom transfer scripts, SDK integration code, or cloud-specific authentication orchestration

Auto-generated reports

Redbird can pull from Azure Blob Storage and Google Cloud Storage simultaneously, merge the results, and format a polished report — sent on a schedule or on demand.

Trigger-based alerts

Set conditions in natural language. Get notified in Slack or email the moment a threshold is crossed in either Azure Blob Storage or Google Cloud Storage.

Enterprise-grade security

SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.

Bidirectional sync

Push data from Azure Blob Storage into Google Cloud Storage, or from Google Cloud Storage back into Azure Blob Storage. Resolve conflicts with configurable merge rules.

Full audit trail

Every workflow run is logged — what ran, what changed, and why. Replay or revert any individual step at any time.

Triggers & actions for every team

Start workflows from any storage event in Azure or GCP — new uploads, metadata changes, lifecycle transitions, or scheduled patterns.

Azure Blob Storage
Triggers & Actions
Trigger

New blob uploaded to container

Fires when files are added to specific Azure Blob Storage containers or folder paths.

Trigger

Blob metadata updated

Triggers when object properties, tags, or custom metadata are modified in Azure storage.

Trigger

Storage tier changed

Detects when blobs move between hot, cool, or archive tiers based on lifecycle policies.

Action

Copy blob to container

Replicates objects from other systems into specified Azure Blob Storage containers with metadata.

Action

Update blob properties

Modifies content type, cache control, custom metadata, or tags on existing Azure blobs.

Action

Move blob to archive tier

Transitions specified objects to Azure archive storage for long-term, cost-effective retention.

Google Cloud Storage
Triggers & Actions
Trigger

Object added to bucket

Fires when new files land in Google Cloud Storage buckets or specific folder prefixes.

Trigger

Object metadata modified

Triggers when object attributes, custom metadata, or storage class changes in GCS.

Trigger

Lifecycle action executed

Detects when GCS lifecycle policies move objects between storage classes or delete expired data.

Action

Upload object to bucket

Transfers files from other systems into designated Google Cloud Storage buckets with attributes.

Action

Update object metadata

Modifies custom metadata, content type, or storage class on existing GCS objects.

Action

Move to Coldline storage

Transitions specified objects to GCS Coldline or Archive class for cost-optimized long-term storage.

Azure Blob Storage
+
Google Cloud Storage

Ready to connect your stack?

Stop wrestling with cross-cloud data movement. Redbird syncs Azure Blob Storage and Google Cloud Storage automatically — so your multi-cloud architecture works as one unified data platform.

Get started → Book a demo