Automate bidirectional data flows between your cloud data warehouse and enterprise database. Stop writing custom ETL scripts, manually syncing tables, or wrestling with SSIS packages to keep Snowflake and SQL Server in sync.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically sync production SQL Server tables to Snowflake on a schedule or when data changes. Enable analysts to query live operational data without impacting transactional systems. Keep your analytical layer fresh without building custom integration pipelines.
Write transformed datasets and analytics results from Snowflake back to SQL Server tables that power dashboards and applications. Enable operational systems to consume data science outputs and aggregated metrics. Close the loop between your analytical and transactional layers.
Automatically replicate reference data, customer records, and dimension tables from SQL Server to Snowflake each night. Ensure data warehouse queries join against current master data. Eliminate stale reference data in analytical workloads.
Move aging transactional records from SQL Server to Snowflake to free up operational database resources while maintaining queryability. Automatically identify and transfer records older than retention thresholds. Reduce SQL Server storage costs while preserving analytical access to historical data.
Pre-aggregate complex Snowflake analytical queries and write results to SQL Server tables optimized for Power BI. Reduce query latency for business users connecting through the Microsoft BI stack. Refresh materialized datasets on schedules or when upstream Snowflake data changes.
Monitor critical tables replicated between systems and notify teams when record counts fall out of sync. Detect failed sync jobs, data quality issues, or integration breakages automatically. Ensure data consistency across your transactional and analytical environments.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Snowflake and SQL Server 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 both Snowflake's cloud-native architecture and SQL Server's schema structure, so you can sync data across environments without writing integration code.
Redbird automatically maps SQL Server schemas to Snowflake tables, handling datatype conversions between T-SQL and Snowflake SQL dialects. It understands SQL Server's indexed views, stored procedures, and Change Data Capture alongside Snowflake's streams, tasks, and virtual warehouses. The platform detects schema drift, translates between DATETIME and TIMESTAMP_NTZ types, and manages IDENTITY columns versus Snowflake sequences—so your syncs stay reliable as schemas evolve.
faster than building SSIS packages or custom Python ETL scripts
Redbird can pull from Snowflake and SQL Server 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 Snowflake or SQL Server.
SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.
Push data from Snowflake into SQL Server, or from SQL Server back into Snowflake. 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 data event in Snowflake or SQL Server—new rows, schema changes, query results, or scheduled intervals.
Trigger when a stream detects inserts in a specified Snowflake table or view.
Start a workflow when a scheduled Snowflake task finishes execution successfully or fails.
Run automation when a Snowflake analytical query returns results matching specified conditions.
Write new records to a Snowflake table with automatic datatype handling and batching.
Call a Snowflake procedure with parameters and capture return values for downstream steps.
Generate a view definition from SQL Server schema or update existing views based on template.
Detect inserts, updates, or deletes in SQL Server tables using Change Data Capture or polling.
Trigger workflows when specific SQL Server stored procedures finish running.
Start automation when a SQL Server Agent job completes, either successfully or with errors.
Write large datasets to SQL Server with optimized bulk insert operations and transaction handling.
Run custom SQL Server queries, updates, or DDL statements with parameterization support.
Replace entire SQL Server table contents with fresh data from Snowflake in a single transaction.
Join data teams using Redbird AI to sync Snowflake and SQL Server automatically. Set up bidirectional workflows in minutes, not weeks of integration development.