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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 […]

Deep-diveRust for Data-Intensive Computation

I have some thoughts on the use of Rust for data-intensive computations. Specifically, I’ve found several of Rust’s key idioms line up very well with the performance and correctness needs of data-intensive computing. If you want a tl;dr for the post: I’ve built multiple high-performance, distributed data processing platforms in Rust, and I never learned […]

Deep-diveManaging memory with differential dataflow

Self-compacting dataflows Those of you familiar with dataflow processing are likely also familiar with the constant attendant anxiety: won’t my constant stream of input data accumulate and eventually overwhelm my system? That’s a great worry! In many cases tools like differential dataflow work hard to maintain a compact representation for your data. At the same […]

Deep-diveUpserts in Differential Dataflow

“Upserts” are a common way to express streams of changing data, especially in relational settings with primary keys. However, they aren’t the best format for working with incremental computation. We’re about to learn why that is, how we deal with this in differential dataflow and Materialize, and what doors this opens up! This post is […]

Deep-diveTaking Materialize for a spin on NYC taxi data

Trying out Materialize This post will also be available at my personal blog. We all at Materialize are working from home, and while this is all a bit weird and different, it gives me some time to write a bit more and try and show off some of what we have been up to. I […]

Deep-diveView Maintenance: A New Approach to Data Processing

It’s with a great deal of excitement, and some trepidation, that we are now able to show off what we have been working on at Materialize. The Materialize product is a “streaming data warehouse”, which is a class of product you might not be familiar with as, to the best of our knowledge, there wasn’t […]

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