Data everyone trusts, ready for AI
We build data platforms on BigQuery, Dataplex and Looker, and move you off Snowflake and legacy ETL tools when that saves money.
Snowflake: cut your bill by 20% or we pay you $50,000
If moving your workloads from Snowflake to BigQuery does not cut your run-rate by at least 20%, we pay you AUD $50,000.
What we do
- Looker: governed metric definitions in LookML, embedded dashboards and alerts.
- Data strategy: maturity benchmarking and legacy warehouse moves to BigQuery.
- Data mesh: domain ownership and automated policy tagging with Dataplex.
- Pipelines: real-time streaming with Pub/Sub and Dataflow, and change data capture with Datastream.
- Legacy ETL migration: SAS, Informatica, DataStage, SSIS, Talend, Teradata, Oracle PL/SQL, Alteryx, Qlik, DataFlux and COBOL workloads moved onto BigQuery.
Free tools: the database selector and the database decision tree.
Data nobody argues with
Most teams we meet aren’t short of data. They’re short of a number everyone trusts. Three dashboards disagree, finance keeps its own spreadsheet, and the board pack gets rebuilt by hand the week before the meeting.
Fixing that is a modelling and governance problem before it’s a tooling one: one definition per metric, owned by someone, tested on every run, and the same number everywhere it appears.
Ready for AI
Clean, governed data is what AI runs on. A unified BigQuery platform becomes the grounding layer for:
- Gemini Enterprise for CX: agents grounded in live customer and transaction records.
- AI agents: agents that query your analytics in plain language and act on the result.
Further reading
- Retail data integration in 2026: connecting POS, ERP and BigQuery for real-time inventory.
- Retail and e-commerce: real-time stock sync and Gemini shopping assistants on Google Cloud.
Key Deliverables
Save 20% on Snowflake or we pay you $50k
If moving from Snowflake to BigQuery does not save you at least 20%, we pay you AUD $50,000.
View Snowflake Migrations →Data & Analytics case studies
Named clients and the results they agreed to publish.
Cross-Cloud AWS to Google Cloud Modernization for Fitness Platform Hapana
Migrated millions of active workouts, global member billing, and IoT facility door access controllers from AWS to a secure Google Cloud Run landing zone with zero cutover downtime.
1,000-Core On-Demand Supercomputer for Global Engineering Leader
Engineered an elastic Slurm HPC cluster on Google Cloud with Scale-to-Zero automation, delivering 10x faster simulation turnaround with zero idle compute waste.
Confirm Control: Real-Time Field Risk Governance & Compliance
Architected an offline-first Flutter mobile application with serverless Google Cloud Firestore backend to digitize field hazard logging and APRA-compliant risk governance.
Data & Analytics: questions we get asked
What is the Snowflake guarantee?
We migrate you to BigQuery and cut your run-rate by at least 20%, measured 30 days after go-live against your normalised previous 12 months. If we miss, Aviato pays you AUD $50,000. Open to enterprises spending AUD $50,000 a month or more on Snowflake, and we confirm your workload qualifies in writing first.
Will our dashboards break during the migration?
No. We run BigQuery in parallel with your existing Snowflake environment. Analysts and dashboards keep running on Snowflake until every pipeline and query result has been validated one-to-one on BigQuery.
What happens to our dbt models and Airflow DAGs?
Google BigQuery Migration Service converts most Snowflake SQL dialect and stored procedures automatically. For dbt, it is an adapter switch. Airflow, Dagster and Fivetran all have native BigQuery connectors.
What access do you need for the assessment?
Read-only access to Snowflake ACCOUNT_USAGE metadata: query history, warehouse events and storage metrics, plus read-only access to AWS or Azure where those are in scope. You also let us connect our assessment tooling. We do not touch production tables or customer data.
Is Google funding available?
Often. As a Premier Partner we work with Google directly on migration funding that can offset the upfront assessment and engineering cost for qualifying workloads. It needs an assessment to confirm.
Talk to an architect who has done this before.
Bring your current setup and the outcome you need. You will get a view on the approach, the risks and roughly what it costs.
Straight to a senior GCP architect. No SDR, no slide deck.
Not ready to talk? See how we migrated Hapana off AWS →
Or call +61 2 8359 9507 · Hello@aviato.consulting