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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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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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Product

CockroachDB vs. Aurora: Who passes TPC-C at 100k warehouses?

Last fall we wrote about how CockroachDB was 50x more scalable than Amazon Aurora as evidenced on the industry-standard TPC-C benchmark. We’re pleased to announce that CockroachDB has doubled that performance benchmark by successfully passing TPC-C at 100,000 warehouses. And with a max throughput of 1.2m tpmC, CockroachDB can now process 100X the throughput of Amazon Aurora’s last published benchmark.

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Andy Woods

March 13, 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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