Automate the flow between your Azure data lake and operational database. Stop manually downloading files, writing ETL scripts, and babysitting data loads. Redbird AI syncs unstructured cloud storage with structured tables — no code 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 parses the structure, maps columns, and loads records into the appropriate MySQL tables. Schema changes are detected and handled intelligently without breaking pipelines.
Schedule or trigger exports of MySQL tables and query results to Azure Blob Storage in your preferred format. Redbird handles partitioning, compression, and naming conventions automatically, creating analytics-ready files for downstream consumers.
Process only new or modified files from Blob Storage and merge them into MySQL using upsert logic. Redbird tracks which files have been processed, handles deduplication, and ensures referential integrity across related tables.
Automatically export full or incremental MySQL database backups to Azure Blob Storage with configurable retention policies. Redbird compresses, encrypts, and organizes backups by date, making disaster recovery straightforward and cost-effective.
When documents, images, or logs arrive in Azure Blob Storage, Redbird extracts relevant metadata and content, then updates corresponding MySQL records. Perfect for adding file references, extracted text, or analysis results to your operational database.
Run complex MySQL queries on schedule, format results as Excel, CSV, or Parquet files, and write them to specific Azure Blob Storage paths. Downstream teams and BI tools can reliably find fresh data every morning without database access.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Azure Blob Storage and MySQL 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 blob storage hierarchies and relational schemas, mapping between unstructured files and structured tables without manual configuration.
Redbird automatically infers CSV delimiters, JSON nesting, and Parquet schemas from your Azure Blob Storage files, then intelligently maps them to MySQL table structures. It handles data type conversions, null handling, and encoding issues that break traditional ETL. When MySQL schemas evolve or new file formats arrive, Redbird adapts the mapping without requiring pipeline rewrites or developer intervention.
faster than writing custom Python scripts for each Blob-to-MySQL data load
Redbird can pull from Azure Blob Storage and MySQL 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 MySQL.
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 MySQL, or from MySQL 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 automations from new files in Azure containers or database changes in MySQL — Redbird connects them intelligently.
Fires when any file is added to a specified Azure Blob Storage container or path prefix.
Detects when an existing blob is updated or overwritten in Azure storage.
Triggers when files matching specific naming conventions or file types arrive in containers.
Write new blobs to Azure Blob Storage with specified names, paths, and metadata.
Transfer files across Azure Blob Storage containers or rename within the same container.
Remove files or move them to lower-cost Azure storage tiers based on retention rules.
Fires when records are added to specified MySQL tables, capturing the new data immediately.
Detects when existing MySQL records are modified and meet specific filter criteria.
Runs MySQL queries on schedule and triggers when result sets contain data.
Add new records to MySQL tables or update existing ones based on primary key matching.
Modify existing MySQL rows based on WHERE conditions with new column values.
Execute arbitrary SQL statements or stored procedures in MySQL with dynamic parameters.
Stop writing throwaway ETL scripts to move data between Azure Blob Storage and MySQL. Redbird AI understands both systems and keeps them in sync automatically.