Adopted · Vendor case study · Undated · dbt Cloud
Moves transformation ownership to analysts, rebuilding SSIS pipelines as dbt models
Stated outcome: 99.9% uptime of the data warehouse and pipelines
The new workflow with dbt and Snowflake isn't a small improvement. It's a complete redesign of our entire approach to data that will establish a new strategic foundation for analysts at JetBlue to build on.
From JetBlue eliminates data engineering bottlenecks with dbt | dbt Labs, getdbt.com.Checked Sep 23, 2026 JetBlue stack · dbt Labs customers
| What |
|---|
| Dec 2025Unifies flight, aircraft and customer data to power the Blue Sky operational digital twin |
| UndatedCDC replication of aircraft maintenance data from on-prem Oracle plus SaaS connectors into Snowflake |
| UndatedReplaced a Microsoft parallel data warehouse with Snowflake, ending 8-hour nightly maintenance windows |
| What |
|---|
| UndatedStandardize metrics and manage analytics workloads across data projectsunverified |
| UndatedAutomate data pipeline development and standardize enterprise business metricsunverified ZendeskExpanded2.5x increase in engineering velocitygetdbt.com |
| UndatedHubSpot used dbt Cloud and Snowflake to empower analysts, boost autonomy, and improve analytics efficiency...unverified |
| UndatedOnboards sales and executive users to SQL data modeling, starting with the options business |
| UndatedData mesh transformations on Snowflake shared across 70,000 internal data consumers |
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