Case Study: Migrating a Leading QSR’s Data Platform from Redshift to Snowflake in 90 Days (Zero Outage)

Executive summary

A leading quick-service restaurant (QSR) operator in Southeast Asia needed to address rising costs and performance constraints on Amazon Redshift. Rapida Solutions migrated the full platform to Snowflake in ~3 months, covering the data warehouse, pipelines, and Power BI analytics, without any outage to business reporting.

Outcomes included significantly improved performance, ~US$100,000 in annualised savings, and a modern foundation to unlock “real AI” initiatives using Snowflake’s native capabilities (e.g., Cortex and agentic/automation patterns).

Background

As adoption grew, the client faced:

* High and increasing cost to sustain data workloads and concurrency

* Lower analytics performance, impacting self-service and reporting experience

* A need to move beyond traditional BI into production-grade AI, which required a more scalable, governed data platform

What Rapida delivered (end-to-end in ~3 months)

* Migrated the entire data warehouse (models, historical data, and workload patterns)

* Transitioned pipelines with validation and operational controls

* Maintained Power BI continuity, ensuring reporting remained stable throughout cutover

* Optimised compute and queries, leveraging Snowflake warehouse distribution and tuning

* Enabled AI readiness, providing a foundation to adopt Snowflake Cortex and scalable AI/agent workflows on governed data

Results

* Zero outage for business reporting during migration and cutover

* Material performance uplift across analytics workloads

* ~US$100,000 annualised savings through better workload distribution and query optimisation

* AI unlocked: a clear, practical path to deploy AI on enterprise data using Snowflake’s native AI capabilities

Why it worked (key success factors)

* Humans-first delivery: collaborative delivery, clear communication, and strong stakeholder alignment, no “throw it over the fence” implementation

* Strategic partnership: Rapida didn’t just lift-and-shift; Rapida aligned platform design to long-term outcomes (cost, performance, and AI readiness)

* Data passion with discipline: rigorous validation, reconciliation, and production-grade delivery standards

* Certified Snowflake capability: experienced, Snowflake-certified developers applying proven patterns for workload separation, optimisation, and operational stability

* No-risk cutover approach: parallel runs and structured testing to protect the business from downtime or reporting disruption

About Rapida Solutions

Rapida Solutions helps organisations modernise data platforms and accelerate value through Snowflake-centric delivery across data strategy, warehousing, analytics, and AI, combining human-first partnership, strategic thinking, and deep technical capability.