Snowflake

BigQuery is typically the better fit if you're already in the Google Cloud ecosystem and want serverless, pay-per-query pricing with less infrastructure management; Snowflake is often preferred for multi-cloud flexibility, more mature governance features, and workloads with heavy concurrent usage across teams. Neither is universally "better". The right choice depends on your existing stack, team skills, and query patterns, which is usually worth a short technical assessment before committing.

We run new models in parallel with existing reports and reconcile the numbers line-by-line before cutting over, so any discrepancy is caught and explained before stakeholders ever see a different number. This validation step is a standard part of any migration, not an optional add-on.

Yes, we build pipelines from common SaaS tools (Salesforce, HubSpot, Stripe, and others) as well as custom product/application databases into your central warehouse. Most SaaS integrations use existing connectors (like Fivetran or Airbyte); custom or unusual sources are built directly.