Ecosystemdbt + Materialize demo: Running dbt’s jaffle_shop with Materialize

Introduction We’ve recently partnered with dbt and community members to release a beta Materialize dbt adapter that allows you to transform your streaming data in real time using Materialize as your data warehouse. This tutorial serves as a practical hands-on demonstration of the adapter. In this case, we are using static not streaming data, but […]

EcosystemIntroducing: dbt + Materialize

Managing data is hard. Managing data pipelines is even harder. The meaning of individual tables or values in your data warehouse gets lost in translation across organizations. Another team’s refactor breaks your team’s pipeline. And, it’s normally very difficult to tell who made what change and when. dbt, data build tool, alleviates these frustrations by […]

Deep-diveEventual Consistency isn’t for Streaming

Streaming systems consume inputs and produce outputs asyncronously: the output of a system at any moment may not reflect all of the inputs seen so far. These systems provide various guarantees about how their outputs relate to their input. Among the weaker (but not unpopular) guarantees is eventual consistency. Informally, eventual consistency means if the […]

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Welcome! On our blog, you’ll hear more about the inner workings of Materialize – what we’ve built, what we plan to build, and how it all works together.

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