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Business Intelligence · head to head

Lightdash vs Spacelift

Lightdash logo

Lightdash

Business Intelligence

Open-source BI for dbt users

From
Free
Free plan
Yes
Visit LightdashFull review
Spacelift logo

Spacelift

Developer Tools

Infrastructure-as-code orchestration for Terraform, OpenTofu, Pulumi and Kubernetes

From
Free
Free plan
Yes
Visit SpaceliftFull review

The short version

  • Lightdash is an open-source business intelligence tool.
  • Both are free.
  • Only Lightdash lists dbt Integration; only Spacelift lists multi-tool orchestration.
  • Where Lightdash falls short: requires existing dbt infrastructure, not suitable for teams without data models.
  • Where Spacelift falls short: three of the five tiers are quote-only, so a shortlist cannot be costed without entering a sales process with each vendor on it.
  • Prices and features on this page were last checked on 31 August 2026.

Where they differ

Only the attributes on which Lightdash and Spacelift actually diverge.

Attributes where Lightdash and Spacelift differ
AttributeLightdashSpacelift
CategoryBusiness IntelligenceDeveloper Tools

Identical on both: starting price (Free), free tier (Yes), platforms (Web, Self-hosted).

Not yet recorded: pricing model for Lightdash, founded for Spacelift.

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Lightdash

  • dbt Integration
  • Metrics Layer
  • Dashboards
  • Scheduling
  • Version Control
  • dbt
  • BigQuery
  • Snowflake

Only in Spacelift

  • Multi-tool orchestration
  • Policy as code
  • Private workers
  • Spaces
  • Blueprints
  • Drift detection

What people use each for

The jobs each tool is most often brought in to do.

Lightdash

  • Self-service analyticsnot Spacelift
  • Data explorationnot Spacelift
  • Ad-hoc reportingnot Spacelift
  • Collaborative analysisnot Spacelift
  • Embedded analyticsnot Spacelift

Spacelift

  • Platform teams running infrastructure changes through approval gates rather than through application CInot Lightdash
  • Organisations standardising Terraform and OpenTofu across many teams with policy enforcementnot Lightdash
  • Estates needing private runners so cloud credentials never leave the networknot Lightdash
  • Teams wanting drift detection and reconciliation rather than plan-time checks alonenot Lightdash

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Lightdash

  • Requires existing dbt infrastructure, not suitable for teams without data models
  • Enterprise features and AI agents unavailable in open-source MIT-licensed core

Spacelift

  • Users are unlimited and private workers are metered, so deployment concurrency rather than headcount drives the bill, which inverts how most engineering budgets are built and is easy to under-forecast
  • There is no affordable paid entry point. The free tier stops at two users and the next tier is a five-figure commitment with nothing in between
  • Three of the five tiers are quote-only, so a shortlist cannot be costed without entering a sales process with each vendor on it
  • The self-hosted build lags the hosted one, has no public worker pool and lacks the Azure and Google Cloud integrations available in the SaaS product, with OIDC federation offered as the workaround
  • Stacks, Rego policies, Blueprints, Spaces and Spacelift-managed state are proprietary constructs, so leaving means rebuilding the orchestration layer rather than pointing it at a different runner

Pricing, plan by plan

Lightdash

Free
  • Open SourceFree
    • MIT-licensed core
    • Self-hostable
    • dbt integration
  • Cloud ManagedOn request
    • Managed hosting
    • Premium features
    • AI agent capabilities

Spacelift

Free
  • FreeFree
    • Two users
    • Public workers only
    • No private workers
  • Starter PlusOn request
    • Unlimited users
    • Two public workers
    • One to two private workers
  • BusinessOn request
    • Unlimited users
    • Three private workers
    • Quoted
  • EnterpriseOn request
    • Unlimited users
    • Five to thirty private workers
    • Self-hosted option

Which should you pick?

Choose Lightdash if

  • You need dbt integration.
  • You want to start without paying.
  • You work on Web, Self-hosted.
  • You also want metrics layer.
Lightdash review

Choose Spacelift if

  • You need multi-tool orchestration.
  • You want to start without paying.
  • You work on Web, Self-hosted.
  • You also want policy as code.
Spacelift review

Questions people ask

Is Lightdash or Spacelift better?
Neither clearly leads. Lightdash starts at Free and Spacelift at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Lightdash or Spacelift?
Lightdash starts at Free and Spacelift at Free.
Does Lightdash or Spacelift run on more platforms?
Both run on Web, Self-hosted, so platform support will not decide this one for you.
Can I use Lightdash for free?
Both have a free tier, so you can try either at no cost before committing.
What is Lightdash best used for?
Lightdash is most often used for self-service analytics, data exploration, ad-hoc reporting, collaborative analysis. Of those, self-service analytics and data exploration are not what Spacelift is typically brought in for.
What can Lightdash do that Spacelift cannot?
Lightdash covers dbt Integration, Metrics Layer, Dashboards, Scheduling. Spacelift covers Multi-tool orchestration, Policy as code, Private workers, Spaces.

Answered from the vendors’ own pages

Lightdash: Is Lightdash free?

Yes. Lightdash is free and open source under the MIT license. Self-hosting is completely free. Managed cloud services and enterprise features require separate licensing.

Source
Spacelift: How is Spacelift priced?

By tier and by private worker count rather than per user. Users are unlimited on every paid plan. The published figure on the pricing page carries no period label, and the FAQ describes the tier as an annual subscription, so confirm the period in writing.

Lightdash: How does Lightdash integrate with dbt?

Lightdash reads dbt models and metric definitions directly. A team defines metrics once in dbt and reuses them across dashboards, exploration, and AI agents without redefinition.

Source
Spacelift: Does it support OpenTofu?

Yes, and Spacelift sponsors the OpenTofu project, which is a substantive hedge for anyone avoiding Terraform under the Business Source Licence.

Lightdash: Does Lightdash support SQL queries?

Yes. As a modern BI platform for analysts, Lightdash supports full SQL capabilities alongside dbt model exploration and visual query builders.

Source
Spacelift: Is there a self-hosted version?

Yes, described as carrying Enterprise functionality, but it is priced on request and lags the hosted product on cloud integrations.

Lightdash: What are Lightdash AI agents?

Lightdash AI agents, available on paid plans, allow natural language queries against your data, generating SQL and visualizations automatically from questions.

Source
Spacelift: Why not just use the CI system we already have?

That is the real comparison. General purpose CI handles state, drift, approval gates and concurrency control for infrastructure poorly, and whether that is worth a five-figure floor depends on how much infrastructure change your organisation actually ships.

Lightdash: Can Lightdash be self-hosted?

Yes. Lightdash's MIT-licensed core is completely self-hostable and free. Enterprise features and AI agents ship under separate licensing.

Source
Spacelift: What happens to our pipelines if we leave?

They do not port. Rego policies, Blueprints, Spaces and managed state are Spacelift constructs and the orchestration has to be rebuilt elsewhere.

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