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Business Intelligence · head to head

Databox vs Lightdash

Databox logo

Databox

Business Intelligence

KPI dashboards that pull from the tools you already run on

From
Free
Rated
-
Lightdash logo

Lightdash

Business Intelligence

Open-source BI for dbt users

From
Free
Rated
-

The short version

  • Each has a real cost: Databox data sources are the billing unit, so cost tracks the number of tools you connect rather than the value you get from them; Lightdash requires existing dbt infrastructure, not suitable for teams without data models
  • They diverge on capability: Databox covers Pre-built dashboards, Lightdash covers dbt Integration.
  • Prices and features above were last checked on 25 September 2026.

Where they differ

Only the attributes on which Databox and Lightdash actually diverge.

Attributes where Databox and Lightdash differ
AttributeDataboxLightdash
Pricing modelsubscriptionUnknown
PlatformsWeb, Mobile, TvWeb, Cloud (managed), Self-hosted (on-premise)
CategoryUnknownBusiness Intelligence
Founded20122021

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).

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 Databox

  • Pre-built dashboards
  • Dashboard designer
  • Metric library
  • Goal tracking
  • Scorecards
  • Alerts
  • Scheduled reports
  • Client reporting

Only in Lightdash

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

What people use each for

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

Databox

  • Watching marketing, sales and finance KPIs from separate SaaS tools on one shared dashboardnot Lightdash
  • Agencies reporting campaign performance to many clients without rebuilding a report per accountnot Lightdash
  • Putting a live KPI board on an office TV or a recurring email to a leadership teamnot Lightdash
  • Replacing a manually maintained spreadsheet that someone updates from tool exports each weeknot Lightdash
  • Tracking goals and getting alerted when a metric moves past a thresholdnot Lightdash

Lightdash

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

Where each one falls short

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

Databox

  • Data sources are the billing unit, so cost tracks the number of tools you connect rather than the value you get from them
  • The $71 Analyst plan is a single seat: adding even a second person means the $199 Core plan, a 2.8x jump
  • AI credits are metered monthly, from 50 on Free to 1,000 on Scale, so heavier AI use pushes you up a tier
  • Every published price assumes annual billing; monthly billing forfeits the advertised 20% saving
  • Free and Analyst plans sync daily and hourly respectively, so neither suits anything close to real-time monitoring
  • It is a dashboarding layer, not a warehouse: there is no transformation or modelling step for messy source data

Lightdash

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

Pricing, plan by plan

Databox

Free
  • FreeFree
    • 3 data sources
    • 1 user
    • 50 AI credits per month
  • Analyst$71/month
    • 5 data sources
    • 1 user
    • 150 AI credits per month
  • Team - Core$199/month
    • 10 data sources
    • 3 users
    • 500 AI credits per month
  • Team - Scale$319/month
    • 30 data sources
    • 10 users
    • 1,000 AI credits per month

Lightdash

Free
  • Open SourceFree
    • MIT-licensed core
    • Self-hostable
    • dbt integration
  • Cloud Managed$undefined/mo
    • Managed hosting
    • Premium features
    • AI agent capabilities

Which should you pick?

Choose Databox if

  • You need pre-built dashboards.
  • You want to start without paying.
  • You work on Web, Mobile, Tv.
  • You also want dashboard designer.

Choose Lightdash if

  • You need dbt integration.
  • You want to start without paying.
  • You work on Web, Cloud (managed), Self-hosted (on-premise).
  • You also want metrics layer.

Questions people ask

Is Databox or Lightdash better?
Neither clearly leads. Databox starts at Free and Lightdash at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Databox or Lightdash?
Databox starts at Free and Lightdash at Free.
Does Databox or Lightdash run on more platforms?
Databox runs on Web, Mobile, Tv. Lightdash runs on Web, Cloud (managed), Self-hosted (on-premise).
Can I use Databox for free?
Both have a free tier, so you can try either at no cost before committing.
What is Databox best used for?
Databox is most often used for watching marketing, sales and finance kpis from separate saas tools on one shared dashboard, agencies reporting campaign performance to many clients without rebuilding a report per account, putting a live kpi board on an office tv or a recurring email to a leadership team, replacing a manually maintained spreadsheet that someone updates from tool exports each week. Of those, watching marketing, sales and finance kpis from separate saas tools on one shared dashboard and agencies reporting campaign performance to many clients without rebuilding a report per account are not what Lightdash is typically brought in for.
What can Databox do that Lightdash cannot?
Databox covers Pre-built dashboards, Dashboard designer, Metric library, Goal tracking. Lightdash covers dbt Integration, Metrics Layer, Dashboards, Scheduling.

Answered from the vendors’ own pages

Databox: How much does Databox cost?

Databox has a free forever plan with 3 data sources and 1 user. Paid plans are Analyst at $71 per month, Team Core at $199 per month and Team Scale at $319 per month, with an Agency plan from $79 per month plus $20 client packs and a Custom tier on request. All prices are billed annually; monthly billing forfeits the 20% annual saving.

Source
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
Databox: Does Databox have a free plan or a free trial?

Both. The Free plan is free forever and covers 3 data sources, 1 user, 50 AI credits a month and daily syncing. Paid plans also offer a 14-day free trial with no credit card required.

Source
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
Databox: How many users does each Databox plan include?

Free and Analyst are single-user. Team Core includes 3 users and Team Scale includes 10. The Agency and Custom plans include unlimited users.

Source
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
Databox: How many tools does Databox integrate with?

Databox connects to more than 130 tools, spreadsheets, databases and APIs, including HubSpot, Salesforce, Google Analytics, Google and Facebook Ads, Shopify, Stripe, QuickBooks, Google Sheets and custom API sources.

Source
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
Databox: How often does Databox refresh its data?

The Free plan syncs daily. Analyst, Team Core, Team Scale, Agency and Custom plans all sync hourly.

Source
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
Databox: Who makes Databox?

Databox, Inc., founded in 2012 by Davorin Gabrovec, who is now President and Chief Product Officer. Pete Caputa became CEO in 2017 after a decade at HubSpot. The company is headquartered in Boston, Massachusetts, with its product and engineering team based in Ptuj, Slovenia.

Source
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