ELT: A modern paradigm for modern architectures

Cloud data platforms—and the separation of storage and compute—have ushered in a new paradigm for data transformation.

Data teams trust dbt Cloud

CHG Healthcare
Altis Consulting
New Relic
Conde Nast
Air New Zealand

Accelerate your data pipelines with ELT

Get more mileage out of your data

Traditional ETL locks you in to defining how you want to use your raw data before you even collect it. ELT gives you the flexibility to model your data on-the-fly with the freedom to iterate for current and future use cases. Explore and re-use existing data assets to save time, resources, and deliver insights faster. And since transformations happen directly in your data platform, you can maintain control of the entire process without other tooling.

Empower more users to build and deploy analytics code

Relieve the lift on data engineers and empower anyone who knows SQL to build and deploy transformation logic. That means data analysts can shape and ship analytics code and more people can self-serve data insights. Data consumers of all stripes can query data from their analytics tool and get consistent metrics—every time—with definitions defined centrally in the dbt Semantic Layer.

Black box, begone

Debugging a pipeline or transformation issue with traditional ETL solutions can be opaque and frustratingly time-consuming. Ship trusted analytics code faster by incorporating software development best practices into every transformation run. With built-in testing, version control, CI/CD, automated documentation, and lineage across staged environments, data teams will spend less time putting out fires and more time shipping quality code.

Reduce complexity without sacrificing governance

dbt Cloud supports a mesh paradigm so users can divvy-up large projects into manageable data domains. Central data teams have the control to define guardrails, set standards, and build contracts. Domain teams move faster with a more focused purview into the data lineage that is relevant to their work.

Integrate across the modern data stack

We support dozens of integrations across the modern data stack so you can transform your data wherever it lives, and send it wherever it needs to go. We’re honored to have been named “Partner of the Year” by both Snowflake and Databricks in addition to Databricks’ fastest-growing data and AI product of the year.

See dbt Cloud in action

Explore how dbt Labs has helped to achieve better clients outcomes, increase efficiency, and grow their business with customer case studies.

Browse real customer examples

Rebtel improves data quality and data team productivity by migrating from Matillion to dbt Cloud

“Before, we couldn’t kick off any machine learning projects because incidents would happen. We had little visibility on our data lineage and code on Matillion, so we never really knew if the data was correct or complete. Now we’re working on an ML fraud prevention use case which will have a direct impact on our profit margins.”

Chandan SinghHead of Data
80% reduction in licensing costs by migrating from Matillion to dbt Cloud + Stitch
6 months to implement and launch new data stack
Read case study

Purple builds data trust with dbt Cloud

“dbt Cloud has been a game-changer in the way we handle data, bringing efficiency and reliability to our processes.”

Bryan KerrAnalytics Engineering Manager
20% inconsistency reduction in financial data
60% fewer support requirements
Read case study

Start building with dbt Cloud

Streamline your data transformation process, reduce manual errors, and increase productivity with dbt Cloud. Sign up today and take your data transformation workflow to the next level.