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Company

Free O'Reilly report on distributed SQL databases

The creation of a truly new category within tech is a rare moment. The emergence of a significant new category that will transform the tech landscape is the result of clear vision and underlying shifts in the market. Given that innovation is a constant in tech, however, how do we identify when an emerging technology will have genuine long-term impact? How do we know there is a truly new “category”? There are three characteristics of any emerging category: Adoption and momentum: There is a building group of companies and individuals receiving and creating new value from the “new” approach. A collection of interests: There is an emerging set of best practices and general curiosity from individuals and companies around the new tech Market recognition: People spend money on it, and those that analyze industries start to track and study the new technology.

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Jim Walker

March 12, 2024

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Product

CockroachDB 22.1: Build your way from prototype to super-scale

Today we released CockroachDB 22.1, which helps you build better with less effort, at every stage of your application lifecycle. Choosing the right database can be a difficult balance of planning for now versus the future. Often you need to make tradeoffs—you might start quickly on Postgres or a similar cloud service, but down the road your database hits bottlenecks as your audience scales. Or you might invest time upfront learning an unnecessarily complex platform that promises future success.

Meagan Goldman

Meagan Goldman

March 4, 2024

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Engineering

How we built easy row-level data homing in CockroachDB with REGIONAL BY ROW

In this blog post, we’ll explore the motivations behind the REGIONAL BY ROW abstraction, take a deeper dive into the abstraction itself, and look behind the scenes to understand how REGIONAL BY ROW works under the covers. We also have a hands-on demo for you to try out at the end, so you can play around with a toy multi-region cluster yourself!

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Rebecca Taft

March 13, 2024

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Scale & Resilience

How DoorDash manages 1.9PB and 1.2M QPS across 300 clusters

How does DoorDash keep 1.9PB of data and 1.2M QPS highly available? That’s the kind of question that keeps enterprise engineers up at night. And while the right database software can make it easier, achieving high availability at scale is never easy.

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Charlie Custer

February 7, 2024

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