Redbird AI automates data movement and sync between your Azure data warehouse and GCP storage layer. Stop manually exporting analytical datasets, orchestrating cross-cloud transfers, or building custom scripts to keep multi-cloud environments in sync.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically run analytical queries in Azure Synapse and push result sets to Google Cloud Storage buckets. Keep processed datasets available for GCP-based ML workflows and BigQuery imports without manual exports.
Archive aggregated reports, dimensional models, and analytical snapshots from Synapse to Google Cloud Storage. Apply lifecycle policies on the GCS side for cost-effective retention of historical analytical data.
Ingest new files landing in Google Cloud Storage buckets into Azure Synapse dedicated SQL pools or Spark environments. Combine GCP-sourced data with Azure datasets for cross-cloud analytical workloads.
Push curated dimension and reference tables from Azure Synapse to Google Cloud Storage buckets. Enable BigQuery external tables to query Synapse-managed dimensions without duplicating data warehouse infrastructure.
Capture model predictions, scoring results, and feature datasets written to Google Cloud Storage and load them into Azure Synapse. Surface GCP ML insights in Power BI dashboards and Synapse-based reporting layers.
Replicate critical Synapse analytical datasets to Google Cloud Storage buckets as part of multi-cloud DR strategy. Trigger replication when Synapse pipelines complete or on detection of schema changes in core warehouse tables.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Azure Synapse and Google Cloud 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 Azure Synapse schemas, SQL pool structures, and Spark outputs alongside Google Cloud Storage bucket organization, object naming patterns, and storage class hierarchies.
Redbird's AI automatically maps Synapse table schemas, column types, and partition structures to corresponding GCS object layouts and folder hierarchies. It recognizes dedicated SQL pool tables, serverless views, and Spark DataFrames on the Azure side, and intelligently organizes them into versioned, partitioned bucket paths in GCS. The platform handles format conversions between Synapse-native formats and GCS-optimized Parquet, Avro, or CSV layouts without manual transformation logic.
faster cross-cloud sync than building Synapse pipelines with REST API calls
Redbird can pull from Azure Synapse and Google Cloud 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 Azure Synapse or Google Cloud 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 Azure Synapse into Google Cloud Storage, or from Google Cloud Storage back into Azure Synapse. 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 pipeline completions in Synapse or new objects in GCS, then execute actions across both platforms instantly.
Fires when a scheduled or on-demand query finishes execution in a Synapse SQL pool.
Detects when a Synapse Spark notebook or pipeline writes output to a data lake path.
Triggers when any Synapse integration pipeline completes with specific status.
Run a parameterized SQL query against dedicated or serverless pools and retrieve result set.
Initiate a Synapse pipeline run with custom parameters and runtime configuration.
Insert, upsert, or replace data in specified Synapse tables with schema validation.
Fires when files matching path patterns appear in specified GCS buckets or prefixes.
Detects changes to object metadata, storage class, or custom attributes.
Triggers after periodic inventory checks identify new or modified objects.
Write files to specified GCS bucket locations with metadata, storage class, and versioning control.
Transfer objects across buckets or regions with optional prefix transformations.
Apply or modify lifecycle rules for archival, deletion, or storage class transitions.
Connect Azure Synapse and Google Cloud Storage in minutes. Redbird AI handles cross-cloud authentication, schema mapping, and ongoing sync so your data teams can focus on analytics instead of infrastructure.