I’m really proud of generating an outcome for humanity that has changed the way we treat COVID-19 with Starburst.

We are reducing our storage costs by 5X-10X by leaving data in its unstructured, raw form, and accessing it through Starburst.

Starburst is central to our data and analytics strategy. It has eliminated our need to make copies of all our data which in turn saves us time!

By deploying Starburst, we’ve reduced our time-to-insight from months to hours, strengthened our security, reduced costs by 40%, and increased our overall conversion rate by over 10%.

With Starburst, we are able to help the victims of human trafficking by providing clinicians the right data at the right time.

Starburst is making my life a lot easier by helping us realize a Business Data Mesh we can operate within.

When we started implementing a Data Mesh, we quickly discovered that Starburst was the leading company in the space.

Starburst Galaxy allows us to take a load off of engineering. We don’t have to become experts in Trino or experts in managing Trino. We can focus on business needs – whether it’s performance work, feature work, or the one-off requests you get from large customers.

The Enterprise Data & Analytics team at Gilead has made great progress towards achieving a data mesh, which empowers thousands of users at Gilead. We’re happy to partner with Thoughtworks and AWS to use Starburst as the access layer for the data mesh, providing faster access to hundreds of data products..

We moved from a monolithic Snowflake approach to a decentralized approach with Starburst and Iceberg. Now we can skip the data warehouse step completely, and complete analytics on the data right where it sits.

With data products in Starburst, we’re able to work with business partners to codify a single accurate representation of their data, and share numbers with the rest of the organization that we’re 100% confident in.

After building good quality data products with Starburst, we saw an opportunity to use LLM to help with that process. Previously it would take 2 to 3 weeks to get an answer to an ad hoc question. By embedding an LLM with Starburst's data products architecture, data consumers can ask questions in plain language, have it converted to SQL, and get the answer back immediately.