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NewsMaterialize Raises a Series B

Today we announced that we raised a $32M Series B round of funding led by Kleiner Perkins. This follows a $8.5m Series A last year led by Lightspeed Venture Partners, bringing our total funding to-date to a little over $40 million. With our Series B, Bucky Moore joins Ravi Mhatre on our board of directors. […]

NewsRelease: Materialize 0.5

We recently released Materialize 0.5!  Here’s what’s new and improved. What’s changed in Materialize 0.5 Version 0.5 includes a number of improvements to help run Materialize in production and connect it to other systems. These include improved Postgres compatibility and beta releases of source caching and tables. As more customers bring Materialize to production, we […]

ProductMaterialize under the Hood

Today we will take a bit of a tour of the moving parts that make up Materialize. This tour isn’t meant to be exhaustive, but rather to show off some of the moments where things might be different from what you expect, and to give you a sense for why Materialize is relatively better at […]

Deep-diveLateral Joins and Demand-Driven Queries

In today’s post we are going to show off Materialize’s LATERAL join (courtesy @benesch), and how you can use it to implement some pretty neat query patterns in an incremental view maintenance engine! In particular, in the streaming SQL setting, lateral joins automatically turn your SQL prepared statement queries into what is essentially a streaming, […]

StreamingChange Data Capture (part 1)

At Materialize we traffic in computation over data that change. As a consequence, it is important to have a way to write down and read back changes to data. An unambiguous, robust, and performant way to write down and read back changes to data. What makes this challenging? Why not just write out a log […]

Use CaseWhy Use a Materialized View?

TL;DR: Querying materialized views, unlike querying tables or logical views, can reduce query costs by maintaining results in memory that are only updated when necessary. To learn more, check out the rest of the post! The Cost of Querying Each time you query a database you incur some cost. Your database will parse, validate, plan, […]

Deep-diveWhy not RocksDB for streaming storage?

A roadmap for a storage engine for Materialize

Deep-diveRobust Reductions in Materialize

Materialize is an incremental view maintenance engine, one which takes your SQL queries expressed as views and continually maintains them as your data change. Surely there are a lot of ways one could do this, ranging from the very naïve (just recompute from scratch) to the more sophisticated end of the spectrum (what we do). […]

NewsRelease: Materialize 0.4

We’re proud to announce that we’ve just released Materialize version 0.4. Here is a quick overview of the main features. What’s changed in Materialize 0.4 Materialize 0.4 includes a number of stability improvements, which we’ve identified through customer feedback, as well as improving our own unit tests.  We’ve built a chaos testing harness, which has […]

Deep-diveStreaming TAIL to the Browser – A One Day Project

Last week concluded up my first week at Materialize, with Friday being my first Skunkworks Friday. Skunkworks Friday is a Materialize sponsored day of the week to spend on personal development and learning. Given that it was my first week, I challenged myself to build something using Materialize. Having spent most of my career working […]

About This Blog

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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