How dbt Cloud compares with dbt Core

Choose dbt Cloud for a solution that scales. Let your team focus on building data products instead of maintaining infrastructure.

Build reliable data products, at any scale

Today thousands of companies, with data teams ranging in size from 2 to 2,000, rely on dbt Cloud to accelerate data work, increase collaboration, and win the trust of the business.

Manage chaos and complexity

Reduce maintenance burden

Democratize access, responsibly

Ensure security and governance

Manage chaos and complexity

dbt Explorer

Discover, understand, and optimize data products across the business

dbt Core
dbt Cloud
dbt Mesh (multi-project) support

Allow teams to own their own dbt projects — without compromising governance

dbt Core
dbt Cloud
dbt Semantic Layer

Centralize business logic and create consistency in metrics across tools

dbt Core
dbt Cloud

Follow analytics engineering best practices

SQL or Python-based transformations

Abstract away complex DDL

dbt Core
dbt Cloud
Reusable code

Save time and improve consistency with macros

dbt Core
dbt Cloud
Built-in testing

Improve data trust with an easy to use, built-in testing framework

dbt Core
dbt Cloud
Documentation

Written as you develop and make changes

dbt Core
dbt Cloud

Develop and deploy efficiently

Command Line Interface (CLI)

Develop using your terminal or IDE of choice

dbt Core
dbt Cloud
Browser-based IDE

Lower barrier to entry for creating organizational knowledge

dbt Core
dbt Cloud
Low code visual editor

Enable less technical users to build or edit dbt models via visual drag-and-drop UX (*Beta)

dbt Core
dbt Cloud
dbt Assist (AI)

Use AI to quickly generate documentation and tests (*Beta)

dbt Core
dbt Cloud
Native job orchestration

Put your dbt models into production on a schedule, or based on events

dbt Core
dbt Cloud
Defer to production

Defer to assets already in production, saving time and money

dbt Core
dbt Cloud
Automated version control

Git enabled out-of-the-box for improved collaboration

dbt Core
dbt Cloud

Increase trust in your data

Continuous Integration

Test modified code in a temporary staging environment before merging

dbt Core
dbt Cloud
Column-level lineage

Troubleshoot quickly with end-to-end lineage at the column level

dbt Core
dbt Cloud
Logging and alerting

Increase debugging velocity and data trust

dbt Core
dbt Cloud

Enhance security and governance

Single sign-on (SSO)

Connect with your authenticator of choice and seamlessly manage access

dbt Core
dbt Cloud
Role-based access control (RBAC)

Effortlessly govern user permissions from one central location

dbt Core
dbt Cloud
Audit logging

Satisfy audit requirements and quickly isolate unexpected changes

dbt Core
dbt Cloud
SLA guarantees

99.95% uptime guarantee

dbt Core
dbt Cloud
Advanced security

Connect via PrivateLink, restrict IP addresses, and more

dbt Core
dbt Cloud
Enterprise support and training

Makers of dbt provide premium support

dbt Core
dbt Cloud

Reduce maintenance overhead

Cloud-native

No infrastructure to manage

dbt Core
dbt Cloud
Elastic scaling

Automatically scale to support development, testing, and production workloads and optimize data platform spend

dbt Core
dbt Cloud
Managed dbt version upgrades

Keep your team on the latest version of dbt, automatically

dbt Core
dbt Cloud
dbt Core
dbt Cloud
The ROI if implementing dbt Cloud

Your data people have better things to do

By removing the need for complex installs, deep technical training, and ongoing infrastructure maintenance, you can ensure your data team is focused on higher-level activities that advance the business — dramatically improving productivity and reducing data platform spend.

Trusted by thousands of leading data orgs

BHP
Conde Nast
Domain
Hubspot
jetBlue
Nasdaq
Vestas
  • "The number one reason why we switched from the open source offering to dbt Cloud was the ability to more meaningfully collaborate across data teams and with business stakeholders."

    Jared StoutHead of Data Management, Sunrun
  • "dbt enables you to have dependencies, but running on Core, we lost sight of what breaks might occur if we push new code. Now the team can provide higher quality dashboards, with way less effort—our dashboard uptime is now at 95%, whereas before the move to dbt Cloud, it hovered at 80%."

    Josh CarlsonDirector of Analytics, Code42
  • "We don’t need to think about the underlying technical stuff and can instead focus on modeling our business concepts."

    Cristian IvanoffData Engineer, McDonald's Nordics
  • "We had performance issues with a model that does 15 to 20 billion messages per day. The dbt Labs services team helped us solve that. The model took 45 minutes to an hour to run in a day, but they got it down to 10 minutes."

    Michael WeissSenior Product Manager, Nasdaq

Start building with dbt Cloud

See why thousands of companies rely on dbt Cloud to deliver trusted analytics to their businesses at scale.

Build more reliable data products
Reduce maintenance burden
Democratize access, responsibly