Migrate to Snowflake
Modern data cloud without the migration pain. Zero-downtime migration from SQL Server, Oracle, Teradata, or other warehouses. dbt implementation included.
Why Teams Move to Snowflake
Separation of Storage & Compute
Pay for storage and compute independently. Scale each based on actual usage, not worst-case provisioning.
Near-Zero Administration
No indexes to tune. No vacuuming. No partition management. Snowflake handles optimization automatically.
Concurrency Without Contention
Multiple warehouses can query the same data simultaneously without degrading performance.
Time Travel & Fail-Safe
Query historical data, recover from mistakes, audit changes - all built in without extra setup.
Common Migration Paths
Every source platform has unique considerations. Here's what to expect.
SQL Server / Azure SQL → Snowflake
- T-SQL to Snowflake SQL conversion
- Stored procedure migration strategy
- SSIS package replacement
- Linked server dependencies
Oracle / Exadata → Snowflake
- PL/SQL to JavaScript UDFs
- Materialized view recreation
- Partition strategy mapping
- Oracle-specific functions
Teradata → Snowflake
- BTEQ script conversion
- TPT to Snowpipe migration
- Multi-statement requests handling
- Workload management mapping
Redshift / BigQuery → Snowflake
- Distribution key to clustering
- Sort keys to micro-partitions
- UDF migration
- Query pattern optimization
On-Prem PostgreSQL / MySQL → Snowflake
- Standard SQL mostly compatible
- Extension replacement
- Connection string updates
- Backup strategy changes
Our Snowflake Migration Process
Assessment & Architecture
- Current state documentation
- Snowflake account setup & configuration
- Schema design for Snowflake patterns
- Migration complexity scoring
- Timeline and cost estimation
Schema Migration
- DDL conversion and testing
- Data type mapping
- Clustering key strategy
- Access control setup
- dbt project initialization
Data Migration
- Historical data bulk load
- Change Data Capture setup
- Validation queries
- Performance benchmarking
- BI tool reconnection
Code Migration
- Stored procedure conversion
- ETL pipeline updates
- Report/dashboard migration
- Application query updates
- Performance tuning
Cutover & Optimization
- Final sync and validation
- Traffic cutover
- Post-migration monitoring
- Cost optimization
- Knowledge transfer
Snowflake Cost Optimization
We don't just migrate - we optimize for cost from day one.
Storage
Compressed data storage at ~$23/TB/month. Typically 2-4x compression vs source.
Optimization: Transient tables for staging, data retention policies
Compute
Virtual warehouse credits based on size and runtime. Suspend when idle.
Optimization: Right-size warehouses, auto-suspend, query optimization
Data Transfer
Ingress is free. Egress charges apply for data leaving Snowflake.
Optimization: Keep processing in Snowflake, minimize exports
Features
Some features (Snowpark, ML functions) have additional costs.
Optimization: Use only features you need, evaluate ROI
Snowflake Migration Questions
Typically 30-50% less than equivalent on-prem infrastructure when you account for hardware, licensing, DBAs, and maintenance. The pay-per-use model means you're not paying for idle capacity. We'll do a detailed TCO analysis as part of the assessment.
Ready to Move to Snowflake?
Get a free migration assessment. We'll analyze your current data warehouse, estimate costs, and create a migration roadmap.
100% Free Consultation • No Commitment Required