Cut Your Snowflake Bill by 20% or Aviato Gives You $20k Cash
We are so confident we can save you more than 20% that we will put our money where our mouth is and give you 20k cash if we cannot. Moving your data workloads from Snowflake to Google Cloud BigQuery cuts credit waste and accelerates your speed to insights.
20% Min
Cost Reduction
$20,000
Cash Guarantee SLA
3.8x
Speed to Insights
0 min
Cutover Downtime
Where the Savings Actually Come From
An honest, engineering-first breakdown of Google Cloud BigQuery advantages over Snowflake.
True Serverless Slots vs Rigid T-Shirt Sizes
Snowflake forces you to provision compute in rigid t-shirt sizes (Small, Medium, Large, Extra Large). If a workload needs 10% more memory, you must jump to the next tier and double your credit burn instantly. Auto-suspend keeps billing long after queries finish. BigQuery dynamically provisions slots by exact demand down to the millisecond, eliminating idle warehouse waste.
Jupiter Petabit Concurrency vs Cluster Multipliers
When morning dashboard queries spike, Snowflake spins up secondary and tertiary warehouse clusters, multiplying your hourly credit rate by 2x, 3x, or 4x. BigQuery runs on Google petabit Jupiter network architecture with built-in BI Engine in-memory caching, serving thousands of concurrent users with sub-second response times and zero cluster surcharges.
Open BigLake Formats vs Micro-Partition Markup
Snowflake stores data in proprietary micro-partitions and marks up underlying cloud object storage. BigQuery BigLake provides unified data governance across open table formats (Apache Iceberg, Parquet, Delta Lake) directly in Google Cloud Storage with zero vendor markup and zero lock-in.
Native Gemini AI & Streaming vs Reverse-ETL Lag
Connecting Snowflake to machine learning models or real-time streaming requires external ETL connectors that break and add hours of lag. BigQuery natively unifies with Vertex AI and Google Gemini models. Your team can run vector search, text embeddings, and generative AI inferences directly inside SQL queries with zero data movement.
Estimate Your Snowflake Savings
Slide to your monthly Snowflake spend to see your guaranteed minimum annual savings and performance uplift.
Contractual SLA or $20k cash
Based on dynamic slot autoscaling
Sub-second BI Engine caching
How Hapana Replatformed to Google Cloud with Zero Downtime
99.999%
Production SLA
10 Mos
vs 2.5 Yr Estimate
0 min
Cutover Downtime
10,000
Containers in 10s
Hapana, a global fitness and wellness platform operating across multiple continents, partnered with Aviato to execute a zero-downtime cross-cloud replatforming to Google Cloud. Using parallel dual-run validation and enterprise automated landing zones, the entire production cutover was achieved in 10 months with zero minutes of customer downtime.
We apply the exact same zero-downtime dual-run methodology to Snowflake to BigQuery migrations, ensuring production analytics and executive dashboards continue running without interruption while verifying data integrity down to the individual byte.
How the 20% Guarantee Works
A disciplined engineering methodology that removes all financial and operational risk.
Read-Only Query Telemetry Audit
You grant read-only access to your Snowflake ACCOUNT_USAGE metadata views. We never touch your production tables or customer data. We analyze query logs, compute patterns, and credit burn to calculate your exact BigQuery savings. Google Cloud co-funds this assessment for qualifying workloads.
Automated Translation & Dual-Run Validation
Using Google BigQuery Migration Service, we automatically translate up to 95% of your Snowflake SQL dialect, stored procedures, dbt transformations, and UDFs. We stand up a parallel BigQuery environment and run dual pipelines to verify byte-for-byte data integrity and benchmark speed gains.
Production Cutover or $20,000 Cash
Our Principal Google Cloud Data Architects execute the cutover during a scheduled maintenance window with zero operational disruption. If your annualized data platform run-rate is not reduced by at least 20%, Aviato wires $20,000 in cash directly to your corporate account.
Request Your Snowflake Migration Assessment
Stop guessing what your Snowflake bill will look like at the end of the quarter. Submit your details below to have a Principal Google Cloud Data Architect review your query telemetry, identify credit waste, and outline your guaranteed 20% savings roadmap.
Prefer to schedule directly? Book a 30-minute scoping call with our Lead Architect ↗
Registered office: 59 Parry St, Newcastle NSW 2300
Mailing address: 6 Read St, Bronte NSW, 2024
Email: hello@aviato.consulting • Phone: +61 2 8359 9507
Frequently Asked Questions
Key questions on our Snowflake migration process, parallel testing, and the $20,000 cash guarantee.
How can Aviato guarantee a 20% cost reduction or pay $20,000 in cash?
BigQuery serverless slot architecture and Google petabit network are fundamentally more compute-efficient than Snowflake virtual warehouse credit model. Because BigQuery charges strictly for actual computation without idle auto-suspend waste or multi-cluster multipliers, typical migrations achieve 20% to 50% cost reductions. We contractually back this guarantee after our initial read-only telemetry audit confirms your workload qualifies.
Will our day-to-day analytics or production reporting be interrupted during migration?
Zero disruption. We run a dual-pipeline strategy where BigQuery runs in parallel alongside your existing Snowflake environment. Your business analysts, BI dashboards, and data teams continue operating on Snowflake until every pipeline, query result, and dashboard has been validated 1:1 on BigQuery.
How do you handle our existing dbt models, Airflow DAGs, and ETL pipelines?
Google BigQuery Migration Service automatically converts up to 95% of Snowflake SQL dialect, stored procedures, and transformations. For dbt users, switching adapters from dbt-snowflake to dbt-bigquery is a standardized process. Modern orchestrators like Airflow, Dagster, and Fivetran have native first-class BigQuery connectors that plug directly into the new architecture.
What access do you require for the initial savings assessment?
Our assessment is completely zero-privilege and non-invasive. We only request read-only access to your Snowflake ACCOUNT_USAGE metadata views (query history, warehouse events, and storage metrics). We never touch your production tables, customer databases, or PII.
Is Google Cloud migration co-funding available for our project?
Yes. As an authorized Google Cloud Premier Partner, Aviato works directly with Google Cloud engineering and sales teams to secure migration funding programs that can offset up to 100% of the upfront assessment and migration engineering costs for qualifying enterprise workloads.
Let's build something transformative together on Google Cloud.
Schedule a complimentary architectural review session with our certified Google Cloud and AI engineering specialists.