What's New In Data
[EMERGENCY POD] Navigating dbt Cloud's pricing changes
Aug 22, 2023
Guests John Kutay of Striim and Jacob Matson, VP of Finance and Operations, discuss the recent pricing changes in dbt Cloud and its implications for data teams and the open source community. They explore how companies should react and the impact on analytics engineering. The conversation covers the benefits of open source software, self-hosted alternatives to dbt, and the challenges of monetizing free tools.
33:00
Episode guests
AI Summary
AI Chapters
Episode notes
Podcast summary created with Snipd AI
Quick takeaways
- Dbt Labs announced pricing changes for dbt cloud, including a new consumption-based model, to prioritize higher-value enterprise customers and raise revenue for company growth.
- Users should focus on delivering tangible value and demonstrating the ROI of their analytics work, while also aligning key operational analytics projects with the organization's strategic goals to navigate pricing changes effectively.
Deep dives
Pricing changes on dbt cloud
Dbt Labs announced pricing changes for dbt cloud, including a new consumption-based model. The developer plan now allows for a maximum of 3,000 models built per month, while the team plan charges one cent per successful model built and includes a maximum of 15,000 models per month. This change aims to prioritize higher-value enterprise customers and raise revenue to support company growth.
Remember Everything You Learn from Podcasts
Save insights instantly, chat with episodes, and build lasting knowledge - all powered by AI.
