Automate data lake ingestion from S3 into Azure Synapse without building custom pipelines or managing complex copy jobs. Redbird AI syncs datasets, orchestrates warehouse loads, and keeps your analytics infrastructure in sync across AWS and Azure.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
When new Parquet, CSV, or JSON files land in S3 buckets, Redbird detects them, validates schema compatibility, and loads them into the appropriate Synapse tables. No manual PolyBase configuration or ADF pipeline maintenance required.
Run scheduled or event-driven SQL queries in Synapse and automatically export results to S3 in structured formats. Perfect for feeding machine learning pipelines, cross-cloud analytics, or sharing processed datasets with AWS-native tools.
Keep Synapse serverless SQL pools in sync with partitioned data in S3. Redbird monitors partition changes, updates external table definitions, and ensures analysts always query the latest data without manual catalog updates.
Move historical data from expensive Synapse dedicated pools to cost-effective S3 storage tiers based on access patterns or age. Redbird handles extraction, compression, and cataloging so archived data remains queryable through external tables.
Before ingesting raw files from S3, Redbird runs schema validation, data quality checks, and anomaly detection. Failed files are quarantined in separate S3 paths with detailed error logs, keeping bad data out of your warehouse.
Automatically kick off Synapse integration pipelines, Spark jobs, or SQL scripts when files matching patterns appear in S3. Redbird provides event-driven orchestration between AWS storage events and Azure analytics workloads.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Amazon S3 and Azure Synapse 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 S3 object structures, file formats, and partitioning schemes alongside Synapse table schemas, dedicated and serverless pool architectures, and PolyBase external table configurations.
Redbird's AI maps S3 bucket hierarchies, file naming conventions, and partition patterns to Synapse database schemas, table structures, and distribution strategies. It handles format conversions between S3-stored files (Parquet, ORC, Delta) and Synapse table types (heap, clustered columnstore, external). The platform intelligently manages authentication across AWS IAM and Azure AD, coordinates PolyBase configurations, and optimizes data movement based on volume and frequency.
faster than building custom ADF pipelines and Lambda triggers for S3-to-Synapse workflows
Redbird can pull from Amazon S3 and Azure Synapse 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 Synapse.
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 Synapse, or from Azure Synapse 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 S3 object events or Synapse pipeline completions and take action across your entire cross-cloud data stack.
Fires when a file is uploaded to a specified S3 bucket or prefix path.
Triggers when files matching naming patterns, formats, or size criteria appear in monitored buckets.
Detects when new partition folders are created in S3 following common data lake patterns.
Write transformed or aggregated data back to S3 in specified formats and locations.
Relocate files between S3 buckets or storage classes based on processing state or age.
Add or modify S3 object tags to track processing status, ownership, or classification.
Fires when integration pipelines, data flows, or orchestration runs finish in Synapse.
Triggers when scheduled or long-running analytical queries complete in Synapse dedicated pools.
Detects when tables reach size thresholds or undergo schema modifications in Synapse databases.
Insert or upsert rows into Synapse tables with automatic distribution and index management.
Run custom T-SQL commands, aggregations, or transformation logic in Synapse dedicated pools.
Modify serverless SQL pool external tables to reflect new S3 data locations or schema changes.
Stop building and maintaining custom pipelines between S3 and Azure Synapse. Let Redbird AI handle cross-cloud data orchestration, format conversion, and warehouse loading automatically.