Snowflake Solution
Redshift to Snowflake Migration
Stop managing clusters. Start scaling data.
We migrate your Amazon Redshift warehouse to Snowflake — schema conversion, data transfer, pipeline rewiring, and validation — so you get time travel, zero-copy cloning, elastic compute, and true environment isolation without months of downtime or risk.
MIGRATION TRACK RECORD
2+
Redshift-to-Snowflake migrations delivered
20TB+
Data migrated with zero data loss
10+ yrs
Data engineering expertise across AWS, Snowflake & GCP
Certified across AWS & Snowflake — from architecture to delivery
The Problem
Redshift is holding your data team back
Organizations running Amazon Redshift hit operational walls that slow down engineering, inflate costs, and block modern data practices.
No Time Travel
Redshift lacks built-in time travel — recovering from accidental deletes or bad deployments means restoring from manual snapshots, costing hours of downtime and engineering effort every time.
Dedicated Instance Upgrades
Scaling Redshift means upgrading to larger dedicated clusters — expensive, disruptive, and requiring downtime. You pay for peak capacity 24/7, even when workloads are idle.
No Zero-Copy Cloning
Need separate dev, test, and production environments? With Redshift, that means duplicating entire clusters — doubling or tripling storage costs and creating drift between environments.
Why Snowflake
What Snowflake gives you that Redshift can't
Snowflake's architecture eliminates the operational pain points that make Redshift expensive and inflexible at scale.
Time Travel built-in
Query any table as it existed at any point in time — up to 90 days. Recover from accidental deletes, audit changes, and debug data issues without restoring snapshots.
Zero-Copy Cloning
Instantly spin up dev, test, and production environments without duplicating data. Pay only for the changes — not the entire dataset. Environment isolation in seconds, not hours.
Elastic, independent scaling
Scale compute up or down instantly — no cluster resizing, no downtime. Storage and compute are fully separated, so you only pay for what you use, when you use it.
Pay-per-second pricing
Snowflake charges per second of compute — warehouses auto-suspend when idle. No more paying for 24/7 dedicated clusters when your workloads run for a few hours a day.
How We Migrate
From Redshift to Snowflake in three phases
A structured migration approach that minimises downtime and ensures zero data loss.
What You Get
Your Snowflake platform — production-ready from day one
Every migration we deliver goes beyond lift-and-shift — we optimise for Snowflake's architecture so you get the full benefit from week one.
Environment Isolation
Dev, test, and production environments via zero-copy clones — each with its own roles, permissions, and data access controls. No cross-environment contamination.
Time Travel & Recovery
Up to 90 days of time travel on every table — query historical data, undo accidental changes, and audit pipeline outputs without manual snapshot management.
Elastic Compute
Snowflake virtual warehouses scale up and down on demand — auto-suspend when idle, auto-resume on query. No cluster management, no capacity planning.
Multi-Cloud Flexibility
Snowflake runs on AWS, Azure, and GCP — no vendor lock-in. Share data across clouds and regions without moving it.
Cost Optimisation
Pay-per-second compute, auto-suspend warehouses, and resource monitors built in from day one — so you see immediate cost savings over Redshift reserved instances.