Lightdash is an open-source BI platform built on dbt. Compare its self-hosted and Cloud Pro pricing, AI agent features, and top Looker or Metabase alternatives.
Category
Business Intelligence
Pricing
Freemium / Open Source, from Free (self-hosted); Cloud Pro from $3,000/month
Verified
Not yet
Last updated
July 18, 2026
Founded
2020
Headquarters
London, United Kingdom
APIOpen SourceAIFreemiumSelf-Hosted
Overview
Lightdash is an open-source BI platform founded in 2020 in London by Hamzah Chaudhary and Oliver Laslett, originally launched through Y Combinator under the name Hubble before pivoting to a dbt-native BI product and rebranding in 2021.
Backed by Accel and Y Combinator with 8.4 million dollars in early funding and an additional 11 million dollars raised in 2024, Lightdash builds its semantic layer directly from a team's existing dbt project rather than requiring a separate proprietary modeling layer.
Key Features
Lightdash's data explorer and report builder let business users chart and analyze governed dbt metrics without writing SQL, supported by a built-in SQL runner, scheduled deliveries, and metric alerting.
Since 2024 Lightdash has added AI agents that can build charts, answer natural-language data questions, and respond inside Slack, positioning the product as agentic BI built on top of a governed semantic layer.
Pricing
Lightdash offers a fully-featured free, open-source, self-hosted tier alongside a hosted Cloud Pro plan priced at 3,000 dollars a month with no per-seat charges, and a custom-priced Enterprise tier with SSO, SAML, SCIM 2.0, and optional HIPAA support.
Companies embedding Lightdash analytics into their own products can choose pay-as-you-go pricing at 0.05 dollars per chart load after the first 1,000 free loads, or a flat 790 dollars a month per 100,000 loads.
Key Features
Native dbt Integration — Generates a governed semantic layer directly from an existing dbt project's YAML models.
Self-Serve Data Explorer and Report Builder — Lets non-technical users build charts and dashboards from governed metrics without SQL.
AI Agents for Natural-Language Analytics — AI agents can build charts and answer data questions in plain language.
Scheduled Deliveries and Metric Alerting — Automates recurring report delivery and threshold-based alerts.
Built-In SQL Runner — Lets analysts run ad hoc SQL queries directly inside the platform.
No Per-Seat Pricing — Cloud Pro and Enterprise plans support unlimited users without incremental licensing cost.
Slack Integration — AI agents can answer data questions directly inside Slack.
Open Source Self-Hosting — Full core feature set available for free under a self-hosted open-source deployment.
Pros & Cons
Pros
Metrics are defined once in dbt and reused across the BI layer, avoiding duplicated logic
No per-seat pricing on Cloud Pro removes the cost penalty for wide adoption
Backed by Accel and Y Combinator with continued investment in AI features
Governed semantic layer reduces the risk of inconsistent metric definitions across teams
Cons
Requires an existing dbt project, so teams without dbt face a steeper setup
Cloud Pro's flat 3,000 dollars a month entry price is a significant jump from the free tier
Smaller ecosystem and third-party integrations than incumbents like Looker
AI agent features are reserved for paid Cloud Pro and Enterprise tiers
Enterprise-grade compliance features like SSO and SAML require the custom-priced Enterprise plan
Pricing
Open Source Free N/A
Cloud Pro $3,000/month Monthly
Enterprise Custom Annual/Custom
Frequently Asked Questions
Is Lightdash free?
Yes, Lightdash offers a fully-featured free, open-source, self-hosted tier, alongside a paid Cloud Pro plan starting at 3,000 dollars a month.
Does Lightdash require dbt?
Yes, Lightdash is built to sit on top of an existing dbt project and generates its semantic layer directly from dbt models.
Who founded Lightdash?
Lightdash was founded in 2020 by Hamzah Chaudhary and Oliver Laslett, initially launching through Y Combinator under the name Hubble.
Does Lightdash charge per user?
No, Lightdash's Cloud Pro and Enterprise plans do not use per-seat pricing, allowing unlimited users.
What AI features does Lightdash offer?
Lightdash offers AI agents that can build charts, answer natural-language data questions, and respond inside Slack, available on Cloud Pro and Enterprise plans.
How is Lightdash different from Looker?
Unlike Looker's proprietary LookML modeling layer, Lightdash generates its semantic layer directly from an existing dbt project, avoiding duplicated metric definitions.