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Business Intelligence · head to head

Databox vs pnpm

Databox logo

Databox

Business Intelligence

KPI dashboards that pull from the tools you already run on

From
Free
Free plan
Yes
pnpm logo

pnpm

Developer Tools

Fast, disk space efficient package manager

From
Free
Free plan
Yes

The short version

  • pnpm is a fast, disk space efficient package manager.
  • pnpm is free; Databox starts at $71/mo.
  • Where Databox falls short: data sources are the billing unit, so cost tracks the number of tools you connect rather than the value you get from them.
  • Where pnpm falls short: requires command-line proficiency to use.
  • Prices and features on this page were last checked on 25 September 2026.

Where they differ

Only the attributes on which Databox and pnpm actually diverge.

Attributes where Databox and pnpm differ
AttributeDataboxpnpm
PlatformsWeb, iOS, Android, TV and consoleLinux, Windows, macOS
CategoryBusiness IntelligenceDeveloper Tools
Founded20122017

Identical on both: starting price (Free), free tier (Yes).

Not yet recorded: pricing model for pnpm.

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 pnpm

Nothing recorded that Databox does not also cover.

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 pnpm
  • Agencies reporting campaign performance to many clients without rebuilding a report per accountnot pnpm
  • Putting a live KPI board on an office TV or a recurring email to a leadership teamnot pnpm
  • Replacing a manually maintained spreadsheet that someone updates from tool exports each weeknot pnpm
  • Tracking goals and getting alerted when a metric moves past a thresholdnot pnpm

pnpm

  • Installing dependencies faster than npm in monorepo workspacesnot Databox
  • Sharing common dependencies across multiple projects to save disk spacenot Databox
  • Preventing dependency version conflicts in workspace environmentsnot Databox
  • Managing workspaces with many interdependent packagesnot 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

pnpm

  • Requires command-line proficiency to use
  • Community-driven support only

Pricing, plan by plan

Databox

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

pnpm

Free

No published plan breakdown. See the pnpm review.

Which should you pick?

Choose Databox if

  • You need pre-built dashboards.
  • You want to start without paying.
  • You work on Web, iOS, Android, TV and console.
  • You also want dashboard designer.

Choose pnpm if

  • You want to start without paying.
  • You work on Linux, Windows, macOS.

Questions people ask

Is Databox or pnpm better?
Neither clearly leads. Databox starts at Free and pnpm at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Databox or pnpm?
Databox starts at Free and pnpm at Free.
Does Databox or pnpm run on more platforms?
Databox runs on Web, iOS, Android, TV and console. pnpm runs on Linux, Windows, macOS.
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 pnpm is typically brought in for.
What can Databox do that pnpm cannot?
Databox covers Pre-built dashboards, Dashboard designer, Metric library, Goal tracking.

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
pnpm: Is pnpm free and open source?

Yes. pnpm is free and open source software developed for Node.js. Version 10 and 11 are currently available.

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
pnpm: How does pnpm save disk space?

pnpm uses a content-addressable store with hard linking and symlinks to avoid duplication. All files are saved in a single place on disk and hard-linked to individual projects, dramatically reducing storage requirements compared to npm.

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
pnpm: Is pnpm faster than npm?

Yes. pnpm performs installation in three stages: dependency resolution, directory structure calculation, and linking. Packages are fetched and linked as soon as possible, making it significantly faster than npm's sequential approach.

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
pnpm: Does pnpm support monorepos?

Yes. pnpm has built-in support for monorepositories. You can create a workspace using pnpm-workspace.yaml to unite multiple projects in a single repository.

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
pnpm: How does pnpm handle node_modules differently than npm?

pnpm uses symlinks to add only direct dependencies to node_modules root, preventing accidental access to undeclared dependencies. This encourages more explicit dependency management compared to npm's flattened node_modules structure.

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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