Hello Hunters 👋 After months of work, we are excited to announce Starburst Galaxy – a data lake analytics platform built for analyzing large and complex data sets in and around your cloud data lake 🔎🌊 💡The Idea Starburst Galaxy is built on top of a powerful open-source query engine (Trino) that was built at Facebook in 2012. Trino is now deployed at scale, at some of the largest internet companies in the world – think Netflix, LinkedIn, Slack, Pinterest. The problem? Trino requires extensive resources to run successfully, so we came up with the idea for Starburst Galaxy. We wanted to build the fastest and easiest way to get up and running with Trino. 🥾The Journey Since we started building Galaxy, we’ve had hundreds of conversations with data teams about the many challenges they face with their architecture. One of the most common pains we found was data silos, even among teams that were attempting to centralize on a data lake or warehouse. Despite best efforts, teams couldn’t keep up with new data sources being added with new technologies to maintain and access. Given that Trino is built to query exabyte data lakes and data warehouses alike, we saw an opportunity to take Galaxy one step further… 🌠The Platform We built Starburst Galaxy to not only help you access and transform the data in your lake, but also directly access data outside the lake. You can think of Galaxy as a single platform where you can discover, govern, and analyze all your data. In Starburst Galaxy, we have three key layers: 1. Access layer – Get access to all your cloud data sources, cross-region and cross-cloud 2. Analytics Engine – Execute your interactive and batch workloads at scale 3. Gravity – Discover, govern, and share all your data from a single pane of glass Test it out at: https://www.starburst.io/platfor... We hope you love it! But more importantly we’d love to get your feedback. Thanks!

Emma Lullo

Hunter

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