Amazon Aurora to Snowflake Migration
Migrate from Amazon Aurora (MySQL/PostgreSQL) to Snowflake for true cloud-native analytics and multi-cloud flexibility.
We Support Both Aurora Flavors
Aurora MySQL
MySQL 5.7 and 8.0 compatible Aurora clusters with full type mapping support.
- - MySQL data types
- - Stored procedures analysis
- - JSON column support
Aurora PostgreSQL
PostgreSQL 11-15 compatible Aurora with advanced type support.
- - PostgreSQL data types
- - JSONB to VARIANT
- - Array types handling
Why Migrate from Aurora to Snowflake?
Multi-Cloud Freedom
Break free from AWS lock-in. Snowflake runs on AWS, Azure, and GCP with seamless data sharing across clouds.
True Separation of Concerns
Keep Aurora for OLTP workloads, use Snowflake for analytics. No more read replica performance issues.
Unlimited Concurrency
Aurora tops out at 128 connections. Snowflake scales compute independently with unlimited concurrent users.
Predictable Costs
No more Aurora I/O cost surprises. Snowflake offers simple, predictable credit-based pricing.
Data Type Mappings
Type mappings depend on your Aurora flavor (MySQL or PostgreSQL):
Aurora MySQL Types
| Aurora MySQL | Snowflake | Notes |
|---|---|---|
| INT, BIGINT | NUMBER | Direct mapping |
| VARCHAR, TEXT | VARCHAR | Up to 16MB |
| DATETIME | TIMESTAMP_NTZ | Nanosecond precision |
| JSON | VARIANT | Native JSON support |
Aurora PostgreSQL Types
| Aurora PostgreSQL | Snowflake | Notes |
|---|---|---|
| INTEGER, BIGINT | NUMBER | Direct mapping |
| TEXT, VARCHAR | VARCHAR | Up to 16MB |
| TIMESTAMPTZ | TIMESTAMP_TZ | Timezone preserved |
| JSONB | VARIANT | Full JSON support |
| UUID | VARCHAR(36) | String representation |
| ARRAY | ARRAY | Native array support |
Migration Process
Connect to Aurora
Securely connect via your Aurora cluster endpoint. We auto-detect MySQL or PostgreSQL compatibility mode.
Schema Analysis
Scan all databases, tables, indexes, and Aurora-specific features like Global Database replication.
Generate Snowflake DDL
Create optimized Snowflake schemas with proper clustering keys based on your query patterns.
Data Migration
Export via Aurora snapshots to S3, then bulk load into Snowflake for maximum efficiency.
Validate & Sync
Run validation queries, set up CDC for ongoing sync if needed, and go live.
AWS Integration
Since Aurora runs on AWS, we can leverage native AWS features for efficient data transfer: Aurora snapshots export to S3, then Snowflake loads directly from your S3 bucket. This minimizes data transfer costs and maximizes throughput.
Ready to Migrate Aurora to Snowflake?
Start with a free schema analysis and get a detailed migration plan.
Start Free Analysis