dbt Labs raised another round of funding– $222m at $4.2b valuation. Existing investor Altimeter led the round, with participation from Databricks, GV, Salesforce Ventures, and Snowflake. The raise will fuel our investment in building the next layer in the modern data stack.
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The metrics layer generated a lot of buzz at Coalesce, prompting some exciting and important conversations. In short: the dbt Server that will make metrics accessible will be source available. This will provide users control, while enabling us to build a sustainable business.
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Snowflake is at the forefront of changing the way modern data teams work with the Data Cloud. In this session, Christian Kleinerman, Snowflake's SVP of Product,
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The modern data stack is the third generation of data analysis products to come to prominence since the 90's.
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With the DAG-in-the-IDE (now available to all dbt Cloud users), analytics engineers can seamlessly navigate the core structure of their dbt project with low friction and low cognitive load, making the entire development process more intuitive, pleasant, and efficient.
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Fishtown Analytics– now dbt Labs– was founded to bring analytics engineering to everyone. $150m in new funding will fuel the next phase of that journey.
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Watch Tristan Handy's talk replay from the Coalesce analytics engineering conference in 2020.
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My thoughts on where our space has been and where it might be going.
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Fishtown Analytics has raised $29.5m in a Series B financing. New investor Sequoia Capital led the round with existing investors Andreessen Horowitz and Amplify Partners participating. Matt Miller of Sequoia joined our board.
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I originally wrote this as a part of our new analyst onboarding program back in June of 2017, shared with new analysts on their first day. It’s as true today as it was the day I wrote it, so I wanted to publish it more broadly. Maybe you’ll find it useful!
June 11, 2021 update – This post hasn’t aged as well as I would’ve hoped. George makes a strong statement in it: “Fivetran is not fundamentally a company that is focused on data transformation.” That statement appears to be less true today than it was in October of 2020. In a recent conversation, George indicated to me that data transformation had become a core part of the Fivetran strategy. And as the company moves towards the GA release of Fivetran Transformations, it’s become increasingly hard for the two companies to continue what was once an extremely close commercial relationship.
While we continue to be excited about Fivetran’s adoption of dbt as a standard for data transformation, the relationship between the two companies is a bit more like the relationship between Snowflake and AWS: sometimes allies, sometimes competitors. And that’s ok—these kinds of evolutions happen in fast-moving markets like the one we’re in.
We continue to have a lot of respect for Fivetran (and use their data ingestion product internally!). Many Fivetran employees make fantastic contributions to the dbt Community and the company is working on some tooling contributions that it hopes to release as open source software soon. All of this is fantastic.
As the ecosystem evolves, I do want to be extremely clear about our own stance: we believe that dbt Cloud is by far the most robust tool on the market for both authoring and productionizing dbt workloads. And as we continue to ramp our product and engineering velocity that gap will only increase. This shouldn’t be surprising—we’ve been working on this problem for five years now and it’s been our sole focus that entire time. It will continue to be our sole focus moving forwards.
Fishtown Analytics started as a consulting company that competed with other dbt service providers. We are now a venture backed software company and our business model has fundamentally changed. Our relationship with dbt service providers is now 100% partnership.
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Two amazing companies in the modern data stack–Fivetran and Census–have launched major integrations with dbt. Here's why I'm excited about this.
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A recent post, Dashboards are Dead, sparked a conversation about the future of data reporting.
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dbt is no longer a niche product and dbt Slack is no longer a community of misfits...we’ve gone mainstream, folks.
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The first global conference for analytics engineers
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The inability to bridge the chasm between IT and the business is the core dysfunction in modern data teams, and it’s also the biggest opportunity for progress.
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If your time is valuable, it should be important to you to operate with the highest possible leverage. This allows you to get more done with your fixed number of hours. Simple. Here's how analysts can operate with leverage.
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Data teams are successful when they build reserves of trust. One important way to build trust is by consistently delivering projects on time. Here are four questions we've found to be useful in helping us spot the potholes that derail analytics engineering projects.
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680 companies use dbt every week, 2100 members of dbt Slack, dbt Cloud processed 140k jobs from 200 accounts in June, and we're hosting regular dbt Meetups in 3 cities (NY, SF, London). What a year!
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Holy crap! Within the past week we’ve seen the acquisitions of the two biggest players in the modern BI landscape, Looker and Tableau.
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