Top all-time · #12358
Tobiko • Data transformation, without the waste
Company blog · tobikodata.comdataprogramming
Tobiko • Data transformation, without the waste is the company blog at tobikodata.com, writing about data and programming. Since 2023, 6 different Hacker News readers have linked it 17 times, most often “Tobiko (creators of sqlmesh) acquires Quary”. No feed was found, so read it on the site itself.
Too few sampled comments (2) to say how often HN recommends it.?
Why HN links it
HN readers link this blog for posts on the modern data stack and data transformation tooling, including SQLMesh and its comparison with dbt. The comments mention it only in passing, without judging the writing.
Summarised by Claude from a sample of 2 HN comments that link here. Each comment is marked recommending, critical or neutral (citing without judging); how this works.
Get complete visibility and control over your data pipelines. Save time and warehouse costs, and run only the changes that matter, with full confidence.
Most-linked posts?
- Tobiko (creators of sqlmesh) acquires Quary2 people · 2 mentions · first linked 2025-01-15
- Traps and Pitfalls of Using SQL with Jinja2 people · 2 mentions · first linked 2023-08-22
What Hacker News says?
> CI/CD, versioned deployment artifacts, zero downtime deployments, unit testing, observability, monitoring and alerting. This definitely stood out to me when I was working with a lot of Snowflake’s new products, especially their “native apps”. I started on some bespoke tooling given the lack of everything that you mentioned and at the time was thinking about how to productize it / turn it into some open source tool…
Comment linking /
on “Is the "modern data stack" still a useful idea?”Submitted Dbt – Incremental but Incomplete as a story · 67 points
HN discussionThere are many teams using SQLMesh in production. Fivetran, Harness, Hopper, Pitchbook to name a few. You can read some case studies here https://tobikodata.com/harness.html or join Slack to meet with folks to learn more about their experiences.
Comment linking /harness.html
on “Dbt – Incremental but Incomplete”Submitted Stop wasting time and money rebuilding your tables unnecessarily as a story · 6 points
HN discussionSubmitted Automatically detecting breaking changes in SQL queries as a story · 3 points
HN discussionSubmitted Tobiko (creators of sqlmesh) acquires Quary as a story · 2 points
HN discussionSubmitted Traps and Pitfalls of Using SQL with Jinja as a story · 2 points
HN discussionSubmitted Traps and Pitfalls of Using SQL with Jinja as a story · 2 points
HN discussionSubmitted Semantic Understanding of SQL as a story · 2 points
HN discussionSubmitted Tobiko Acquires Quary (YC W24) as a story · 1 points
HN discussionSubmitted Making SQLMesh Faster as a story · 1 points
HN discussionSubmitted How to build a thriving open-source community as a story · 1 points
HN discussionSubmitted Data Completeness: To Stream or Not to Stream as a story · 1 points
HN discussionSubmitted We Need Even Greater Expectations When Testing Data as a story · 1 points
HN discussionSubmitted Simplicity or Efficiency: How Dbt Makes You Choose as a story · 1 points
HN discussionSubmitted Correctly Loading Incremental Data at Scale as a story · 1 points
HN discussionSubmitted The False Promise of Dbt Contracts as a story · 1 points
HN discussion