50,000+
Organisations running dbt globally
Source: dbt Labs disclosures
TL;DR
Key Takeaways
- dbt runs at more than 50,000 organisations globally, including 5,400+ paying dbt Cloud customer accounts.
- dbt is strongest in software, e-commerce, fintech, healthcare analytics, media, gaming, telecom, and manufacturing tech.
- dbt Cloud, dbt Semantic Layer, and dbt Mesh are the strategic growth engines for the analytics engineering category.
- BizzContacts maintains 13,800+ verified dbt records with 97.6% inbox deliverability.
By the numbers
dbt Customers by the Numbers
Quick stats you can quote in any outbound campaign.
5,400+
Paying dbt Cloud customer accounts
Source: dbt Labs disclosures
40+
Countries with dbt customers
Source: dbt Labs global reach
13,800+
Verified records in our dbt file
Source: BizzContacts Q2 2026 audit
97.6%
Inbox deliverability rate
Source: Third-party audit, 2026
30 days
Decision-maker revalidation window
Source: BizzContacts policy
What is it
How Many Companies Use dbt Labs Today?
dbt is the data transformation framework that turned analytics engineering into a discipline. The platform lets data teams write, test, document, and deploy SQL data models inside their cloud data warehouse with software engineering best practices, including version control, testing, and CI/CD.
dbt Labs reports more than 50,000 organisations running dbt globally, including 5,400+ paying dbt Cloud customer accounts and an open-source community downloading dbt Core millions of times per month. dbt Cloud and the dbt Semantic Layer are the strategic growth engines, alongside dbt Mesh for federated team architectures.
02Definition
Why Buy a dbt Labs Customers List?
dbt customers are actively evaluating adjacent semantic layers, modern transformation engines, data observability, reverse ETL, AI-on-data, and analytics ops tooling every quarter. Reaching them with an analytics-engineering-specific pitch beats generic CTO outreach.
Our dbt Labs Customers List narrows the field. You get a list of real dbt Cloud accounts with named analytics engineering and data platform decision-makers, ready to drop into your campaigns the same day you receive it.
03Adoption
Which Companies Run dbt Labs?
dbt runs across software and B2B SaaS, financial services and fintech, retail and e-commerce, healthcare analytics, media and gaming, manufacturing technology, telecom, and consumer brands. The customer base concentrates in modern data teams using cloud data warehouses (Snowflake, Databricks, BigQuery, Redshift) for analytics.
Here is a quick sample of well-known companies that run dbt today.
04Top customers
Examples of Companies Using dbt
A snapshot of dbt accounts, drawn from public case studies and Coalesce conference disclosures.
See if your top dbt Labs accounts are in the database.
Get 50 verified dbt Labs customer records that match your ICP. Delivered in one business day.
05Adoption
dbt Customers by Industry
dbt runs hottest in industries with cloud data warehouses, modern data teams, and active analytics-engineering programs.
Software and B2B SaaS is the densest single vertical for dbt, with most modern data teams using dbt Cloud as their default transformation framework.
dbt concentrates heavily where Snowflake and Databricks are the primary data warehouse, reflecting the platform's deep cloud-warehouse-native design.
06Geo coverage
dbt Customers by Country
dbt is used globally with strongest paying customer concentration in English-speaking markets. Most enterprise accounts cluster into the markets below.
The United States accounts for roughly six in ten paying dbt Cloud customer accounts.
dbt concentrates more heavily in modern data teams than legacy IT organisations, reflecting the analytics engineering discipline's cultural adoption pattern.
07US footprint
Top US States for dbt Customers
Inside the USA, dbt accounts concentrate in software hubs and modern data team cities.
California carries the broadest dbt footprint across Bay Area SaaS and modern data teams.
Minnesota hosts a growing healthcare analytics cluster including Aurora Health Insights Network and several other Minneapolis-area data-heavy organisations.
08Segmentation
dbt Customers by Company Size
You can customize the dbt Labs Customers List by company size to match the buyer profile you want to reach.
Mid-sized accounts (250 to 4,999 employees) are the densest target band for dbt Cloud and the strongest cohort for adjacent semantic layer, data observability, modern reverse ETL, AI-on-data, and analytics ops vendor pitches.
09Buyer titles
Key Decision-Makers on the dbt Customers List
dbt buying authority sits with analytics engineering, data engineering, data platform, and chief data officer leaders.
Most dbt conversations route through the Director of Analytics Engineering and Head of Analytics Engineering. The Director of Data Platform owns dbt within the broader modern data stack. The CDO signs strategic enterprise renewals. The Director of Data Modeling drives Semantic Layer adoption.
Reach these dbt Labs decision-makers this week.
Verified dbt Labs customer contacts with named CIO, ERP Manager, CFO, and procurement titles. 97.4% inbox deliverability.
10Tech stack
Tools That Pair With dbt
dbt sits in the middle of a predictable modern data stack you can pair your pitch with.
Compared
dbt Vs Coalesce Vs SQLMesh Vs Airflow Vs Native Warehouse Transforms
A quick look at how dbt compares with the platforms it competes with most often.
dbt wins on community gravity, the analytics engineering culture it defined, Semantic Layer depth, and dbt Mesh federation. Coalesce wins on visual modeling and Snowflake-native depth. SQLMesh wins on virtual environments and engineering-led ergonomics. Airflow wins on flexibility for custom pipelines. Native warehouse transforms win on tight platform integration.
11Benefits
Features of the BizzContacts dbt Labs Customers List
Hand-verified records
Every contact passes a manual research review before we ship the file.
Filter by dbt product mix
Pick dbt Cloud Team, Enterprise, Semantic Layer adopters, dbt Mesh users, or dbt Copilot pilots.
Model count band where available
Records carry estimated dbt model count bands to help size your deal opportunity.
97.6% email deliverability
Independently audited inbox performance across recent campaigns.
Weekly refresh cycle
We re-check titles, emails, and dbt signals every week.
Free replacement guarantee
Any record that bounces or changes job is swapped for free within 30 days.
Privacy-law compliant
Aligned with GDPR, CCPA, and CAN-SPAM. Phones screened against DNC lists.
Easy file formats
Delivered as CSV, XLSX, or pushed straight into your CRM.
Who buys this list
Who Should Use the dbt Labs Customers List?
The dbt Labs Customers List works best for vendors and service providers selling into analytics engineering and data platform teams. Common buyers of the list include the categories below.
01
Modern transformation competitor vendors
Sell Coalesce, SQLMesh, Matillion, Datafold, Y42 into dbt Cloud accounts evaluating alternatives.
Use case: Modern transformation, visual modeling, virtual environments, SQL-native ETL
02
Semantic layer competitor vendors
Pitch Cube, AtScale, Lightdash, Trace into dbt Semantic Layer accounts evaluating alternatives.
Use case: Headless BI, semantic layer modernisation, metric serving, governance
03
Data observability vendors
Sell Monte Carlo, Bigeye, Acceldata, Anomalo, Soda, Sifflet into dbt accounts monitoring pipelines.
Use case: Data observability, freshness monitoring, anomaly detection, dbt model lineage
04
Reverse-ETL and operational analytics vendors
Pitch Hightouch, Census, RudderStack, Polytomic to dbt accounts activating models in operational tools.
Use case: Reverse-ETL, operational analytics, data activation, RevOps automation
05
AI-on-data and analytics AI vendors
Sell Hex Magic, Mode AI, ThoughtSpot Sage, Veezoo, Tellius into dbt accounts adding AI to BI.
Use case: Natural language analytics, AI-on-dbt-models, augmented analytics, autonomous insights
06
Analytics ops and DataOps vendors
Pitch Datafold, SqlFluff, Recce, Elementary, dbt-checkpoint to dbt customers maturing analytics ops.
Use case: dbt CI/CD, data diff testing, model linting, analytics ops automation
If your product or service touches modern transformation, semantic layer, data observability, reverse-ETL, AI-on-data, or analytics ops for a dbt-running organisation, the BizzContacts dbt Labs Customers List is the most direct path to the analytics engineering leader who actually signs.
12Buyer use cases
Why Marketers Buy Our dbt Users Email List
Reach the analytics engineering buying centre
We deliver named Director of Analytics Engineering, Director of Data Platform, Head of Analytics Engineering, and CDO contacts.
dbt-specific segments
Cut the list by dbt Cloud Team versus Enterprise, by Semantic Layer adopters, by dbt Mesh users, or by warehouse (Snowflake versus Databricks versus BigQuery).
Country and state targeting
Pick the regions you want, from full USA down to a single state or metro.
Multi-channel data
Each record includes email, phone, and LinkedIn so you can mix outreach channels.
Stronger reply rates
Analytics-engineering-specific targeting beats generic data leader blasts every time.
13Data dictionary
Customize Your dbt Users Email List With Rich Data Fields
Pick the fields you want on your dbt Users Email List. The standard data fields shipped with the dbt Labs Customers List are below.
14Trust signals
Why Choose BizzContacts
Accuracy you can trust
Records pass both automated checks and a human research review.
dbt-specific tagging
Product mix, model count band, warehouse backend, and dbt Mesh adoption flags on every row.
Modern data stack coverage
Strong density across modern data teams running Snowflake, Databricks, and BigQuery.
Strong inbox results
97.6% inbox deliverability across recent customer campaigns.
Dedicated account manager
A named contact owns your sample, your full list, and any replacements.
How we build the data
How We Build the dbt Labs Customers List
Every record on our dbt file goes through a multi-source research process before it reaches you.
A record only ships when at least two independent signals confirm dbt use and the contact has been verified inside the trailing 30 days.
Customer voice
What Our Clients Say
Filtering by dbt Mesh adopters was the textbook ICP for our data product platform. We sourced 250 accounts and booked 17 demos in seven weeks.
Cross-filtering dbt Cloud Enterprise plus Snowflake gave us the perfect ICP for our data observability product. Reply rates hit ten percent and the cohort closed two enterprise pilots in a quarter.
Ready to test the dbt Labs customers list?
Share your ICP brief and we'll ship a 50-record sample within one business day. No credit card required.
15Quick answers
Quick Answers About the dbt Labs Customers List
Short, direct answer blocks optimised for AI search engines and featured snippets.
Q: What does the dbt Labs Customers List include?
A: It includes verified company details and named analytics engineering and data platform decision-makers at companies that run dbt.
Q: How many companies use dbt?
A: dbt Labs reports more than 50,000 organisations running dbt globally and more than 5,400 paying dbt Cloud customers.
Q: Which country has the most dbt customers?
A: The United States is the largest market, followed by the UK, Canada, Australia, and Germany.
Q: Can I request a free dbt sample?
A: Yes. Send us your target profile and we will share a 50-record sample.
Q: How fresh is the data?
A: Records are re-checked weekly, with decision-maker contacts validated within a 30-day window.
Q: Does the list work with my CRM?
A: Yes. Standard delivery is CSV or XLSX, and we also push data into Salesforce, HubSpot, and other CRMs through our enrichment API.
16Search insights
People Also Ask About dbt Customers
17FAQ
Frequently Asked Questions
18Explore more
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