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Lightdash

Self‑serve analytics built on your dbt models

Turn dbt‑defined metrics into interactive dashboards, letting anyone in your organization explore data, drill‑down, and share insights without writing SQL, all with a familiar, open‑source interface.

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Overview

Empower Everyone with Data

Lightdash bridges the gap between data engineering and business analysis by exposing dbt‑defined metrics and dimensions as self‑serve visualizations. Teams can explore, segment, and filter data without writing SQL, while retaining a single source of truth for business logic.

Flexible Deployment & Robust Governance

Deploy Lightdash wherever you need—use the free Cloud trial, a one‑click Render instance, a local script, or production‑grade Kubernetes via community Helm charts. Built‑in version history, chart rollback, and CI/CD validation keep analytics reliable and auditable.

Collaborative Insight Sharing

Create dashboards, schedule deliveries to Slack or email, and share work via simple URLs. The intuitive UI, lineage view, and table calculations let users dig deeper, fostering trust and data‑driven decision making across the organization.

Highlights

Define metrics and dimensions in YAML alongside dbt
Automatic lineage and model‑driven dimension creation
Versioned charts with rollback and CI/CD validation
Shareable URLs, Slack and email scheduling

Pros

  • Open‑source and free to self‑host
  • Tight integration with existing dbt projects
  • Self‑serve UI reduces reliance on SQL experts
  • Built‑in governance with version history and CI/CD

Considerations

  • Initial setup requires a dbt workflow
  • Advanced visualizations may be limited compared to enterprise BI tools
  • Self‑hosting adds operational overhead
  • Community support may be slower than paid vendor SLAs

Managed products teams compare with

When teams consider Lightdash, these hosted platforms usually appear on the same shortlist.

Google Looker logo

Google Looker

Modern BI platform for governed data modeling and dashboards

Mode logo

Mode

Collaborative analytics and data science platform

Power BI logo

Power BI

Business intelligence and data visualization platform

Looking for a hosted option? These are the services engineering teams benchmark against before choosing open source.

Fit guide

Great for

  • Companies already using dbt for data transformation
  • Teams seeking an affordable Looker alternative
  • Organizations that value open‑source transparency
  • Businesses wanting to enable self‑service analytics

Not ideal when

  • Enterprises requiring dedicated 24/7 vendor support
  • Teams without any dbt or SQL expertise
  • Use cases demanding highly custom visual components
  • Strict SaaS‑only compliance environments

How teams use it

Business users explore metrics without SQL

Analysts define metrics in dbt; non‑technical staff generate dashboards and answer questions instantly.

CI/CD validation of analytics definitions

Metric and dimension changes are tested automatically, preventing breaking dashboards in production.

Low‑cost startup analytics stack

Deploy Lightdash on Render for free, share insights via Slack, and avoid expensive BI licenses.

Migration from Looker to an open‑source solution

Retain existing dbt‑based business logic while cutting subscription costs.

Tech snapshot

TypeScript94%
HTML6%
JavaScript1%
CSS1%
Shell1%
Nix1%

Tags

data-visualizationdbtdata-analyticsbusiness-intelligence

Frequently asked questions

Do I need to use dbt with Lightdash?

Yes, Lightdash reads metrics and dimensions defined in your dbt project to power its visualizations.

Can I host Lightdash on my own infrastructure?

Absolutely. Lightdash provides a local install script, a Render one‑click deploy, and Helm charts for Kubernetes.

Is there a cloud‑hosted version?

Lightdash Cloud offers a managed service with a free trial and paid plans for larger teams.

How does Lightdash handle data security?

When self‑hosted, you control access to the database and the application; the open‑source code can be audited for security.

Can I schedule report deliveries?

Yes, dashboards can be sent to Slack or email on a schedule, or shared via permanent URLs.

Project at a glance

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Repo age4 years old
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Primary languageTypeScript

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