dbt

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Work with the full picture

Gain a comprehensive view your data with dbt Explorer for a faster, more unified, and truly informed workflow.

Data teams trust dbt Cloud

Nasdaq
Thermo Fisher Scientific
CHG Healthcare
Altis Consulting
New Relic
Hubspot
Conde Nast
Air New Zealand
Hotelbeds

A new knowledge base for better data

Gain unprecedented insight into your data’s documentation and lineage. dbt Explorer allows teams to easily explore the status and relationships of their dbt assets in a user-friendly interface.

See context in one place

Quickly view the lineage and status of your team’s dbt assets without leaving dbt Cloud.

Reuse — don’t rebuild

Increase productivity by letting developers easily discover and reuse existing assets.

Troubleshoot quickly

Save time on troubleshooting by allowing your team to quickly trace the location of issues.

Understand your dbt projects

Experience the next generation knowledge base for dbt Cloud. It’s performant at scale and makes it easy to understand key information like the owners, relationships, and status of data products and assets.

Improve data quality

Quickly identify the potential downstream impacts of table changes or work backwards to determine the root cause of any issues. dbt Explorer offers the insights needed to tackle data quality proactively and maintain trust in data.

Save time and cost

Optimize spend by allowing your team to quickly discover and re-use what’s already been built — in your project or others. Powerful search and auto-generated lineage enable rapid exploration and iteration.

Use recommendations and model performance evaluator to automate documentation, test coverage, and identify areas for model optimization.

Gain clarity and control

dbt Explorer is embedded into dbt Cloud and provides an organized, quickly accessible, and user-friendly interface for lineage and documentation, all in a centralized place.

  • "dbt Explorer makes it easy for our consumers to understand the entire lineage from the source to reporting – and all of the data quality checks or issues along the way – without having to “go ask a dev”. The performance feature saved my team hours (if not days) analyzing model build durations over time so we could make intelligent decisions about job orchestration and scheduling."

    Robert GoodmanLead Developer of Enterprise Data Analytics, Lennar
  • "Column-level lineage in dbt Explorer streamlines root-cause and impact analysis. Rather than painstakingly tracing a column forward or backward in our lineage graph, we’re now able to easily follow it up and downstream. As a result, we’ll be able to troubleshoot issues more quickly, and develop a more accurate understanding of potential data model changes."

    Katie ClaiborneStaff Analytics Engineer, Cityblock Health
  • "With auto-exposures in dbt Explorer, it’s like going from a treasure hunt to having a treasure map. The native Tableau integration and auto-generated lineage help us see everything clearly, making impact analysis across hundreds of dashboards a breeze!"

    Rahavan RamanDirector - Data Engineering & Analytics, Zscaler
  • "Leveraging the model query history feature in dbt Cloud has transformed our approach to optimization. It empowers us to gain deep insights into our SQL execution, identify performance bottlenecks, and enhance our data models with confidence. We're excited to see how this feature evolves in the roadmap ahead."

    Gary HowData & Analytics Architect, Kenvue
  • "dbt Explorer has been instrumental in elevating our data modeling and analytics processes. We gained valuable insights into project data quality and adherence to dbt best practices. It not only helped us pinpoint areas for code enhancement but also significantly improved our documentation practices. We achieved substantial enhancements in data quality percentages, effectively mitigating data errors in the bronze/silver layer and ensuring a higher standard of data quality for our end consumers. dbt Explorer is an indispensable ally for any data-driven organization aiming for excellence in their analytics workflows."

    Shravan BandaSolutions Architect, World Bank

    Want to learn more?

    Check out these resources to find out how dbt Cloud can help your teams make data quality automatic.

    Become an Explorer expert

    Learn five tips and tricks for getting the most out of dbt Explorer.

    Read the blog

    Trace root cause with column-level lineage

    Learn more about how to use column-level lineage in dbt Cloud to spot and fix pipeline issues fast.

    Read the blog

    Build a scalable data quality framework

    Learn about the various testing capabilities in dbt and dbt Cloud to build trust in data.

    Read the blog

    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.