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Lightdash Pricing in 2026

Free tier · paid from $3,000/mo

Open Source

Free
  • ✓Self-hosted deployment
  • ✓Unlimited users
  • ✓Core BI features
  • ✓Data explorer and report builder
  • ✓Native dbt integration
  • ✓3-day version history
  • ✓Basic usage analytics
  • ✓Community Slack support

Cloud Pro

$3,000month
  • ✓Lightdash-managed cloud hosting
  • ✓Unlimited users and visualizations
  • ✓Native dbt integration + open semantic layer
  • ✓Scheduled reports and alerting
  • ✓Dashboards-as-code management
  • ✓Governed self-serve via metrics catalog
  • ✓30-day version history
  • ✓Advanced usage analytics
  • ✓AI agents and MCP
  • ✓Dedicated human support
  • ✓Guided onboarding and training
  • ✓Automated migration from current BI
  • ✓Embedding add-on available

Enterprise

Custom
  • ✓Everything in Cloud Pro
  • ✓Cloud or on-prem deployment
  • ✓SSO + SAML + SCIM 2.0
  • ✓Custom user roles
  • ✓SOC 2 with HIPAA and BAA support
  • ✓60-day version history
  • ✓Custom usage analytics
  • ✓Hands-on migration support (including on-site)
  • ✓Priority support with defined SLAs
  • ✓Dedicated onboarding and success reviews
  • ✓Early access to new features

This guide was last updated on September 17, 2026. Its figures have not been re-verified against Lightdash's official pricing source since. Pricing may have changed. Visit Lightdash for current pricing.

Lightdash pricing guide details

Pricing Overview

Lightdash uses a freemium model anchored around three tiers: a free open-source self-hosted edition, a Cloud Pro plan at $3,000 per month, and a custom-priced Enterprise tier. The standout feature of Lightdash pricing is its no-per-seat model -- Cloud Pro includes unlimited users and unlimited visualizations for a flat monthly fee. This is a deliberate break from the per-user licensing that dominates BI tooling. For dbt-native teams that need managed hosting without worrying about viewer caps, the $3,000/month entry point is straightforward. We think this flat-rate approach works well for mid-size data teams, though focused organizations may find the jump from free to $3,000 steep. Every plan includes native dbt integration, which is the platform's core differentiator and the reason most teams evaluate Lightdash in the first place.

Plan Comparison

Lightdash offers three distinct tiers, each targeting a different operational profile.

FeatureOpen Source (Free)Cloud Pro ($3,000/mo)Enterprise (Custom)
HostingSelf-hostedLightdash-managed cloudCloud or On-Prem
UsersUnlimitedUnlimitedUnlimited
dbt IntegrationYesYesYes
Data Explorer & Report BuilderYesYesYes
Scheduled DeliveriesNoYesYes
AlertingNoYesYes
Google Sheets SyncNoYesYes
Version History3 days30 days60 days
Usage AnalyticsBasicAdvancedCustom
AI AgentsNoYesCustom pricing
SSO / SAML / SCIM 2.0GoogleGoogleGoogle, Okta, Azure, Custom, other
Custom RolesNoNoYes
SOC 2 / HIPAA / BAANoNoYes
EmbeddingNoAdd-onAdd-on
SupportCommunity SlackDedicated human supportPriority SLAs
Migration AssistanceNoAutomated migrationHands-on, including on-site

The Open Source edition covers core BI functionality but leaves you responsible for infrastructure, upgrades, and security. Cloud Pro removes that burden and adds governed self-serve analytics, AI agents, MCP integration, and guided onboarding. We see Cloud Pro as the sweet spot for most teams because it bundles everything needed for production analytics without per-seat cost anxiety. Enterprise layers on advanced security controls (SSO, SAML, SCIM 2.0), SOC 2 compliance with HIPAA and BAA support, custom user roles, priority SLAs, and dedicated success reviews. Enterprise also opens up on-premise deployment, which is a hard requirement for organizations in regulated industries like healthcare and financial services.

Hidden Costs and Considerations

The self-hosted Open Source tier is free to license but not free to run. You will need cloud infrastructure, a database, and engineering time for setup, upgrades, and monitoring. On Cloud Pro, embedding is an add-on: pay-as-you-go at $0.05 per load after the first 1,000 free loads, or $790 per month for a predictable 100k-load package. AI agent usage on Enterprise carries custom pricing that requires a sales conversation. We recommend budgeting for embedding costs separately if embedded analytics is part of your roadmap.

Cost Estimates by Team Size

Team SizeRecommended PlanEstimated Monthly CostNotes
1-5 (startup)Open SourceInfrastructure only (~$50-$200/mo)Self-host on AWS/GCP; requires DevOps capacity
10-30 (growth stage)Cloud Pro$3,000/moFlat fee covers all users; no per-seat surprises
50-100 (mid-market)Cloud Pro$3,000/mo + embedding add-onAdd $790/mo if embedding is needed
100+ (enterprise)EnterpriseCustom (contact sales)Includes on-prem option, SSO, HIPAA, priority SLAs

The flat $3,000/month Cloud Pro pricing becomes increasingly cost-effective as team size grows. A 50-person team pays the equivalent of $60 per user per month, while a 100-person team pays just $30 per user -- a significant advantage over per-seat competitors. This is where Lightdash's pricing philosophy pays off: the more people who use the platform, the lower your effective per-user cost becomes. For organizations scaling from 20 to 200 analytics consumers, the total cost stays locked at $3,000/month on Cloud Pro.

How Lightdash Pricing Compares

Lightdash takes a fundamentally different approach from most BI competitors by eliminating per-seat pricing entirely on its Cloud Pro plan.

ToolStarting PricePricing ModelFree TierPer-Seat Cost
Lightdash$3,000/mo (Cloud Pro)Flat rateYes (self-hosted OSS)None
Amazon QuickSight$3/user/mo for Readers and $24 for AuthorsPer-userNot verified$3/user/mo for Readers and $24 for Authors
KNIME$19/moTieredYes (personal use)Varies by tier
AmplitudeFrom $0, scales with eventsTieredYesVaries by plan

For teams under 10 users, Amazon QuickSight at $3/user/mo for Readers and $24 for Authors will be cheaper than Lightdash Cloud Pro. But the math shifts as headcount increases. At scale, per-seat BI tools compound cost with every new viewer or analyst added to the platform. Lightdash avoids this entirely with its flat-rate Cloud Pro model, meaning the cost per user drops every time someone new joins the platform.

We think Lightdash's pricing model makes the most sense for organizations with 30 or more analytics consumers, especially those already invested in dbt. The open-source option also gives Lightdash a distinct edge for teams that want to evaluate the platform thoroughly without any financial commitment. KNIME and Amplitude serve different primary use cases (data science workflows and product analytics, respectively), so direct pricing comparisons are most relevant against tools like Amazon QuickSight that compete directly in the BI and reporting space. The absence of per-seat fees is Lightdash's strongest pricing differentiator and the primary reason teams switch from traditional BI vendors.

Lightdash Pricing FAQ

Does Lightdash charge per user?

No. Lightdash Cloud Pro includes unlimited users for a flat $3,000 per month. The Open Source edition is also unlimited. Enterprise pricing is custom but does not follow a per-seat model.

Is Lightdash really free to use?

The Lightdash Open Source edition is free to license and deploy on your own infrastructure. You will need to cover hosting costs (cloud servers, database) and handle setup, maintenance, and upgrades yourself. Lightdash Cloud Pro starts at $3,000 per month for a fully managed experience.

How much does Lightdash embedding cost?

Embedding is available as an add-on on Cloud Pro and Enterprise plans. You can choose pay-as-you-go pricing at $0.05 per load after the first 1,000 free loads, or a predictable package at $790 per month for up to 100,000 loads.

What is included in Lightdash's free trial?

Lightdash offers a free trial of its Cloud Pro plan, which includes unlimited users, unlimited visualizations, native dbt integration, scheduled reports, AI agents, and dedicated human support. No credit card information has been confirmed as required to start.

Does Lightdash require dbt to work?

Lightdash is designed as a dbt-native BI platform and connects directly to your dbt project. While dbt integration is a core feature across all tiers, the platform uses your dbt models to automatically create dimensions and sync metrics. Teams not using dbt would not get the full benefit of Lightdash.

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