Business Intelligence · head to head
Databox vs Namespace

Databox
Business Intelligence
KPI dashboards that pull from the tools you already run on
- From
- Free
- Free plan
- Yes

Namespace
Developer Tools
The dev platform for the next 100 billion commits
- From
- Free
- Free plan
- Yes
The short version
- Namespace is a developer infrastructure platform.
- Free plans on both; paid from $71/mo and $100/mo.
- Only Databox lists pre-built dashboards; only Namespace lists GitHub Actions runners.
- 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 Namespace falls short: developer plan is pay-as-you-go only; minimum usage unclear.
- Prices and features on this page were last checked on 25 September 2026.
Where they differ
Only the attributes on which Databox and Namespace actually diverge.
Identical on both: starting price (Free), free tier (Yes).
Not yet recorded: pricing model for Namespace, founded for Namespace.
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 Namespace
- Devboxes
- GitHub Actions runners
- Docker builds
- Cross-invocation caching
- NVMe storage
- High-speed networking
- Multiple OS support
- Bazel and Turborepo support
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 Namespace
- Agencies reporting campaign performance to many clients without rebuilding a report per accountnot Namespace
- Putting a live KPI board on an office TV or a recurring email to a leadership teamnot Namespace
- Replacing a manually maintained spreadsheet that someone updates from tool exports each weeknot Namespace
- Tracking goals and getting alerted when a metric moves past a thresholdnot Namespace
Namespace
- Providing AI coding agents with cloud-based development environmentsnot Databox
- Accelerating CI builds with faster GitHub Actions runnersnot Databox
- Distributing builds across teams with managed infrastructurenot Databox
- Scaling development velocity for monorepo organizationsnot 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
Namespace
- Developer plan is pay-as-you-go only; minimum usage unclear
- Team plan $100/mo is competitive but usage limits may be tight
- Devbox pricing separate at $0.004/minute could add up quickly
- Enterprise plan requires custom sales conversation
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
Namespace
Free- DeveloperFree
- Pay-as-you-go
- On-demand compute
- Docker builds
- Team$100/mo
- 100,000 unit minutes
- 1,000 Docker builds
- Everything in Developer
- Business$250/mo
- 250,000 unit minutes
- 2,500 Docker builds
- Everything in Team
- EnterpriseOn request
- Custom compute/Docker build limits
- Audit log export
- Enterprise SSO
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 Namespace if
- You need devboxes.
- You want to start without paying.
- You work on Web, macOS, Windows, Linux.
- You also want github actions runners.
Questions people ask
- Is Databox or Namespace better?
- Neither clearly leads. Databox starts at Free and Namespace at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Databox or Namespace?
- Databox starts at Free and Namespace at Free.
- Does Databox or Namespace run on more platforms?
- Databox runs on Web, iOS, Android, TV and console. Namespace runs on Web, macOS, Windows, Linux.
- 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 Namespace is typically brought in for.
- What can Databox do that Namespace cannot?
- Databox covers Pre-built dashboards, Dashboard designer, Metric library, Goal tracking. Namespace covers Devboxes, GitHub Actions runners, Docker builds, Cross-invocation caching.
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.
SourceNamespace: How is compute usage metered on the Developer plan?
Developer plan uses pay-as-you-go billing. Devboxes bill at $0.004 per minute. Storage and caching services have separate usage-based fees. A 30-day free trial is available to test usage patterns.
SourceDatabox: 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.
SourceNamespace: What is the difference between Team and Business plans?
Team ($100/mo) includes 100,000 unit minutes and 1,000 Docker builds with email support. Business ($250/mo) includes 250,000 unit minutes, 2,500 Docker builds, and high concurrency with a dedicated Slack channel.
SourceDatabox: 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.
SourceNamespace: Can Namespace support AI coding agents?
Yes, Namespace Devboxes are specifically designed as feature-rich development environments for AI coding agents, with full tooling and performance optimization.
SourceDatabox: 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.
SourceDatabox: How often does Databox refresh its data?
The Free plan syncs daily. Analyst, Team Core, Team Scale, Agency and Custom plans all sync hourly.
SourceDatabox: 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.
SourceRelated pages
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