Distributed Systems Newsletter

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Issue #130
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Issue #130

It's raining databases.

Shekhar
May 14
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“Talented people are always in short supply. We are forced to create our work with insufficient resources, and that weakness becomes our very strength”

— Hayao Miyazaki


It’s raining databases!

Recently there have been many new database announcements, from both open source as well as private companies. Be it columnar, relational, in-memory or file-based.

I am privileged to work with few of tech startups and enterprise companies for building their tech teams and finding them talent. My work gives me insights about what companies are hiring for. I can tell you for sure every medium size tech company is building one or the other type of in-house databases.

To give you an idea here are few announcements of data companies about product, funding, launches about their database offerings -

  • Announcing D1: our first SQL database - Cloudflare

  • Xata Raises $30M to Launch a Serverless Database With the Usability of a Spreadsheet - Xata

  • Database Optimization on Autopilot:  Our Investment in OtterTune - IntelCapital on OtterTune

  • YDB - an open-source Distributed SQL Database - YDB

  • Hydra: The Postgres Data Warehouse - Hydra

  • PranaDB - a distributed streaming database - PranaDB

  • Introducing arcticDB: A database for Observability - arcticDB

  • Introducing AlloyDB for PostgreSQL: Free yourself from expensive, legacy databases - AlloyDB

  • This blog discusses Manarch Paper - Google’s Planet-Scale In-Memory Time Series Database - Monarch

  • I found this interesting discussion on AmorphousDB on Linkedin but I could not locate their website or more details - AmorphousDB: Rethinking the Relational Database

These are few references to recent db discussions and this is not exhaustive list, I must have missed many other db services or new databases. It’s raining databases!


Posts

What complex systems can teach us about building software

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The Other Kind of Staff Software Engineer

// Adam Gordon Bell

Using Java's Project Loom to build more reliable distributed systems

// James Baker

Lessons learned from the recent job hunt

// Jamie Tanna

Improving Distributed Caching Performance and Efficiency at Pinterest

// Kevin Lin

BellJar: A new framework for testing system recoverability at scale

// Christopher Bunn, Jie Huang

Demystifying Database Performance for Developers

// Christopher Winslett


Videos

Adventures in Building Reliable Distributed Systems with id Haskell (FLOPS 2022 keynote talk)

Automerge: a new foundation for collaboration software

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