dbt-native analytics
Connect Lightdash to a dbt project and use the semantic layer as the governed source for metrics and business logic.
Lightdash
Freemium
Open-source, AI-first BI for dbt analytics teams
What is Lightdash?
Lightdash is an open-source BI platform built for teams that want to manage analytics with dbt at the center. It combines a governed semantic layer, AI-assisted workflows, and BI-as-code tooling so analysts and developers can build, review, and ship analytics in a controlled way.
The product is designed for modern data teams that need trusted metrics, reusable dashboards, and self-serve access for business users. Lightdash supports warehouse connectivity, scheduled reporting, alerts, data apps, and embedding, with paid plans that add collaboration, support, and deployment flexibility.
What can Lightdash do?
Dashboards as code
Build, review, and deploy dashboard changes through code with version control, automated validation, and CI/CD-oriented workflows.
Agentic BI and Slack workflows
Use AI in the product UI or in Slack to answer questions, assemble dashboards, and update analytics workflows.
Data apps and embedding
Create governed data apps and embed analytics where teams need them, including iframe and React SDK options on higher-tier plans.
Broad integration support
Access warehouses, Git providers, and collaboration tools such as BigQuery, Snowflake, Postgres, GitHub, GitLab, Azure DevOps, Bitbucket, Slack, and Teams.
Governance and operational tooling
Track usage, manage private spaces, keep version history, and schedule deliveries and alerts for recurring reporting.
Use Cases
“Governed analytics for data teams”
Use dbt as the semantic source for metrics, then let analysts build dashboards and reports without redefining business logic in each view.
“Self-serve answers for business users”
Use AI to draft or update dashboards, answer questions in the UI or Slack, and reduce the number of ad hoc requests sent to the data team.
“BI development workflows”
Treat analytics changes like software by versioning dashboards, reviewing updates, and deploying through code with validation.
“Embedded data apps”
Publish governed analytics in apps or embed them in other surfaces when teams need data inside a product or internal workflow.
“Operational reporting and monitoring”
Set up recurring deliveries, alerts, and usage tracking to monitor performance and share metrics across the organization.
Frequently Asked Questions
Does Lightdash offer a free trial?
Yes. The pricing page says Lightdash offers a 21-day trial that starts when you first connect and compile your dbt project, and you do not need to enter payment details to begin.
Do I need dbt to use Lightdash?
Lightdash is built around dbt. The pricing page says you need to connect and compile a dbt project to start the trial, and it also notes support for dbt Core, dbt Cloud, and dbt Enterprise.
How does Lightdash handle security and data storage?
Lightdash says queries run through a governed semantic layer, and the pricing page states it does not cache or store query results. It is hosted in Google Cloud, with deployment options that vary by plan.
Is pricing based on seats?
The pricing page says Lightdash uses unlimited users rather than per-seat pricing, which is also reflected in the Cloud Pro and Enterprise plans.
What support options are available?
Yes. The pricing page says Cloud Pro includes dedicated human support, and Enterprise adds priority support, onboarding, enablement, and success reviews.
Quick Facts
- Category
- AI-first BI platform
- Product model
- Open source with Cloud Pro and Enterprise plans
- Primary users
- Data teams, analysts, developers, and business users
- Core workflow
- Connect dbt, define metrics, and build governed analytics
- Deployment
- Cloud or self-hosted, with regional options on higher plans
- Website
- lightdash.com
Lightdash Traffic Analysis
Traffic data is for reference only.
- Domain Rating
- 59
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