Success Stories

Learn how dbt fuels sensemaking for organizations of all sizes.

The new workflow with dbt and Snowflake isn't a small improvement. It's a complete redesign of our entire approach to data that will establish a new strategic foundation for analysts at JetBlue to build on.

Benjamin Singleton,
Director of Data Science & Analytics, JetBlue
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Featured success story
Featured Success Story
Aktify
Aktify
“Databricks Lakehouse Platform and dbt have eliminated the manual tasks and errors from our data transformations. We’ve been able to stand up new solutions for internal clients in half a day compared to 3-5 days previously.”
  • 80% Reduction in data engineering hours, reducing costs

  • 95% Reduction in time to onboard new employees

  • 6-Figure annual savings in IT headcount costs

Andela
Andela
"We were able to get the search functionality of our talent matching service shipped ahead of schedule. Now we're moving onto automated matching and using the same approach."
  • 3 months to build a usable prototype

  • 5 months shaved off the product development timeline

  • 1 new approach to product development

Firefly Health
Firefly Health

"dbt allows us to set and track metrics-driven goals for almost everything we do. Every metric we track aligns to our core values, and is presented in that context to all business users."

  • 20x faster model development

  • 50+ business users served

  • 100% of models shipped with tests

HubSpot
HubSpot

"We think empowering analysts to own their tools is the only way to build a productive analytics team at scale. dbt makes it easier to do data modeling the right way, and harder to do it the wrong way."

Landbay
Landbay

"With dbt, we can empower users without technology team involvement, and the outcomes for the business are huge."

  • 60% of the organization exploring data in Looker

  • 2 days to 2 minutes report creation

  • £60m loan portfolio moved

Loft
Loft
"Few folks on my team have deep knowledge of Python or software engineering, but dbt has made modeling accessible. Business analysts can now model data themselves.”
  • 350+ models developed in dbt Cloud

  • 80% reduction in model build resource consumption

  • 2 mo. time to value from dbt Cloud

Mastery Logistics
Mastery Logistics

"This isn't anything new, it's how every high-quality software project is run. You expect there to be tests. You expect there to be documentation. You expect the PR process to be collaborative. You're building software together. We're just applying this to analytics code as well."

Monzo
Monzo

"We want to build a world where any data scientist and analyst can have an idea on the way to work, and explore it end-to-end by midday."

  • 100,000 lines of code migrated

  • 30+ analystis collaborating

  • £72,000 annual savings

Fortune 500 Oil & Gas Provider
Fortune 500 Oil & Gas Provider

"I remember reading the dbt viewpoint and thinking this is fantastic—a simple way to focus on SQL as a way to manage data objects and at the same time solve our scheduling and dependency problems. dbt was an off-the-shelf solution that took our ideas to the next level. It was revelatory."

Pepperstone
Pepperstone
“Trust is so important because we are the experts in data analysis. And if you have a good level of trust, your insights are more likely to be robustly discussed.”
  • Increased speed to delivery by 30%

  • 80% decrease in inconsistent reports

  • 10 inconsistent data sources raised per month

Ramp
Ramp
"All of our models are born and bred in dbt. When people think of clean data, they think of dbt models. There's very little that isn't powered by dbt at Ramp."
  • 20% reduction in data platform costs

  • 33% increase in data transformation speed

  • 25% of all sales pipeline generated by their new personalization engine

Red Ventures
Red Ventures
“With Databricks, Fivetran, and dbt, we can use data and AI in ways that help us reach the right customers with our clients’ marketing campaigns. That means we can deliver better results for their investment.”
  • 100 hours saved on a typical data integration

  • 80% less time spent on data processing jobs

  • 30% more clients supported without increasing IT head count

SafetyCulture
SafetyCulture
“The data team knew there was a better way. We needed to invest in building the foundations to be able to operate at the right level.”
  • -20 to +69 eNPS

  • 2x increase in new customer retention

  • 80% of data rebuilt using dbt

Sunrun
Sunrun
“With data teams spanning several business functions, we didn't just need a way to standardize development. We needed a way for those processes to be easily understood by everyone—seasoned engineers, new analysts, the CFO... everyone”
  • 100% participation: 10 engineers and 40 analysts now share 1 development framework

  • 50% reduction in engineering tickets to diagnose and resolve complex data issues

  • 75% acceleration in time to deployment

Whatnot
Whatnot
"dbt and Hex make the data development environment so much easier to work with than any other combination of tools...I can instead focus on scaling my team, and building the best live shopping platform"
  • 4-8x increase in speed from idea to production

  • 1 week for new analytics engineer hires to start shipping

  • 10x decrease in maintenance costs

Yummy
Yummy
“dbt opens up the visibility and capabilities of our analysts so they can do more than just reporting. Because they need to do more. There’s no other way to be efficient enough.”
  • 5 analysts trained with no previous data engineering experience

  • 5x more models developed

  • 50% reduction in model build time

Community Love

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Product Director at Two Octobers

Noah Learner, Product Director at Two Octobers

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Head of Reliability and Data Engineering at Drivy

Michael Bensoussan, Head of Reliability and Data Engineering at Drivy

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Data team at Slack

Ananth Packkildurai, Data team at Slack

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co-founder at Public Comps, describes where dbt fits in his Analytics & Data Tools MarketMap

Jon Ma, co-founder at Public Comps, describes where dbt fits in his Analytics & Data Tools MarketMap

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software developer at Warby Parker, talking about just how great the dbt community is.

Ryan Tuck, software developer at Warby Parker, talking about just how great the dbt community is.

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Evangelist at Panoply, writes about Fresh Water Systems success using Panoply + dbt

Jason Harris, Evangelist at Panoply, writes about Fresh Water Systems success using Panoply + dbt

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Deputy Chief Analytics Officer at the ACLU

Aaron Horowitz, Deputy Chief Analytics Officer at the ACLU

Data Scientist at Superconductive Health

Taylor Miller, Data Scientist at Superconductive Health

Head of Insights at Octopus

Kaustav Mitra, Head of Insights at Octopus

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Data Engineer at Inside Track

Sterling Paramore, Data Engineer at Inside Track

Data Scientist at Carta

Erin Boehmer, Data Scientist at Carta

Analytics Manager at Stitch

Anthony Palacio, Analytics Manager at Stitch

Chief Cloud Officer at Sisense

Tom O'Neill, Chief Cloud Officer at Sisense

Head of Analytics at ASG

Joao Correia, Head of Analytics at ASG

Product Data Analyst at Grailed

Shiven Samant, Product Data Analyst at Grailed

Growth at Notion

Jamie Quint, Growth at Notion

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Data Scientist at Convo

Adam Stone, Data Scientist at Convo

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Data Engineer at GitLab

Taylor A. Murphy, Data Engineer at GitLab

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Data Analyst at GoCanvas

Aniket Tambay, Data Analyst at GoCanvas

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Co-founder and CTO at Lull

Brad Inscoe, Co-founder and CTO at Lull

on how dbt fits into their data stack.

Rittman Analytics, on how dbt fits into their data stack.

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Data Engineer at GitLab

Emilie Schario, Data Engineer at GitLab

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Senior Software Engineer at Nexar

Assaf, Senior Software Engineer at Nexar

Data Engineering Lead at Landed

Siobhan Cronin, Data Engineering Lead at Landed

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