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内容由Aaron Francis and Try Hard Studios提供。所有播客内容(包括剧集、图形和播客描述)均由 Aaron Francis and Try Hard Studios 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal
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Scaling DuckDB in the cloud with MotherDuck CEO Jordan Tigani

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Manage episode 523767734 series 3579868
内容由Aaron Francis and Try Hard Studios提供。所有播客内容(包括剧集、图形和播客描述)均由 Aaron Francis and Try Hard Studios 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

In this episode of Database School, Aaron Francis sits down with Jordan Tigani, co-founder and CEO of MotherDuck, to break down what DuckDB is, how MotherDuck hosts it in the cloud, and why analytics workloads are shifting toward embedded databases. They dig into Duck Lake, pricing models, scaling strategies, and what it really takes to build a modern cloud data warehouse.

Follow Jordan:
Twitter/X: https://twitter.com/jrdntgn
LinkedIn: https://www.linkedin.com/in/jordantigani
MotherDuck: https://motherduck.com

Follow Aaron:
Twitter/X: https://twitter.com/aarondfrancis
Database School: https://databaseschool.com
Database School YouTube Channel: https://www.youtube.com/@UCT3XN4RtcFhmrWl8tf_o49g (Subscribe today)
LinkedIn: https://www.linkedin.com/in/aarondfrancis
Website: https://aaronfrancis.com - find articles, podcasts, courses, and more.

Chapters:
00:00 - Introduction
01:44 - What DuckDB is and why embedded analytics matter
04:03 - How MotherDuck hosts DuckDB in the cloud
05:18 - Is MotherDuck like the “Turso for DuckDB”?
07:38 - Isolated analytics per user and scaling to zero
08:51 - The academic origins of DuckDB
10:00 - From SingleStore to founding MotherDuck
12:28 - Getting fired… and funded 12 days later
16:39 - Jordan’s background: Kernel dev, BigQuery, and Product
18:36 - Partnering with DuckDB Labs and avoiding a fork
20:52 - Why MotherDuck targets startups and the long tail
24:22 - Pricing lessons: why $25 was too cheap
28:11 - Ducklings, instance sizing, and compute scaling
34:16 - How MotherDuck separates compute and storage
37:09 - Inside the AWS architecture and differential storage
43:12 - Hybrid execution: joining local and cloud data
45:14 - Analytics vs warehouses vs operational databases
47:41 - Data lakes, Iceberg, and what Duck Lake actually is
53:22 - When Duck Lake makes more sense than DuckDB alone
56:09 - Who switches to MotherDuck and why
58:02 - PG DuckDB and offloading analytics from Postgres
1:00:49 - Who should use MotherDuck and why
1:03:39 - Hiring plans and where to follow Jordan
1:05:01 - Wrap-up

  continue reading

29集单集

Artwork
icon分享
 
Manage episode 523767734 series 3579868
内容由Aaron Francis and Try Hard Studios提供。所有播客内容(包括剧集、图形和播客描述)均由 Aaron Francis and Try Hard Studios 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

In this episode of Database School, Aaron Francis sits down with Jordan Tigani, co-founder and CEO of MotherDuck, to break down what DuckDB is, how MotherDuck hosts it in the cloud, and why analytics workloads are shifting toward embedded databases. They dig into Duck Lake, pricing models, scaling strategies, and what it really takes to build a modern cloud data warehouse.

Follow Jordan:
Twitter/X: https://twitter.com/jrdntgn
LinkedIn: https://www.linkedin.com/in/jordantigani
MotherDuck: https://motherduck.com

Follow Aaron:
Twitter/X: https://twitter.com/aarondfrancis
Database School: https://databaseschool.com
Database School YouTube Channel: https://www.youtube.com/@UCT3XN4RtcFhmrWl8tf_o49g (Subscribe today)
LinkedIn: https://www.linkedin.com/in/aarondfrancis
Website: https://aaronfrancis.com - find articles, podcasts, courses, and more.

Chapters:
00:00 - Introduction
01:44 - What DuckDB is and why embedded analytics matter
04:03 - How MotherDuck hosts DuckDB in the cloud
05:18 - Is MotherDuck like the “Turso for DuckDB”?
07:38 - Isolated analytics per user and scaling to zero
08:51 - The academic origins of DuckDB
10:00 - From SingleStore to founding MotherDuck
12:28 - Getting fired… and funded 12 days later
16:39 - Jordan’s background: Kernel dev, BigQuery, and Product
18:36 - Partnering with DuckDB Labs and avoiding a fork
20:52 - Why MotherDuck targets startups and the long tail
24:22 - Pricing lessons: why $25 was too cheap
28:11 - Ducklings, instance sizing, and compute scaling
34:16 - How MotherDuck separates compute and storage
37:09 - Inside the AWS architecture and differential storage
43:12 - Hybrid execution: joining local and cloud data
45:14 - Analytics vs warehouses vs operational databases
47:41 - Data lakes, Iceberg, and what Duck Lake actually is
53:22 - When Duck Lake makes more sense than DuckDB alone
56:09 - Who switches to MotherDuck and why
58:02 - PG DuckDB and offloading analytics from Postgres
1:00:49 - Who should use MotherDuck and why
1:03:39 - Hiring plans and where to follow Jordan
1:05:01 - Wrap-up

  continue reading

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