Business Intelligence · head to head
Databox vs Refact

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

Refact
Developer Tools
Autonomous AI coding agent for development tasks
- From
- Free
- Free plan
- Yes
The short version
- Refact is an autonomous AI coding agent.
- Free plans on both; paid from $71/mo and $10/mo.
- Only Databox lists pre-built dashboards; only Refact lists autonomous agent workflows.
- 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 Refact falls short: requires configuration for optimal performance.
- Prices and features on this page were last checked on 25 September 2026.
Where they differ
Only the attributes on which Databox and Refact actually diverge.
Identical on both: starting price (Free), free tier (Yes).
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 Refact
- Autonomous agent workflows
- IDE chat
- Real-time code completions
- GitHub integration
- Database integration
- On-premise deployment
- Multi-LLM support
- 25+ language 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 Refact
- Agencies reporting campaign performance to many clients without rebuilding a report per accountnot Refact
- Putting a live KPI board on an office TV or a recurring email to a leadership teamnot Refact
- Replacing a manually maintained spreadsheet that someone updates from tool exports each weeknot Refact
- Tracking goals and getting alerted when a metric moves past a thresholdnot Refact
Refact
- Autonomous code generation for development tasksnot Databox
- End-to-end bug fixes and refactoringnot Databox
- Multi-language software development accelerationnot Databox
- Enterprise development with data privacy requirementsnot 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
Refact
- Requires configuration for optimal performance
- On-premise deployment adds operational complexity
- Free tier limited by daily agent request quota
- Coin system adds complexity to cost calculation
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
Refact
Free- FreeFree
- Limited daily agent usage
- Unlimited completions
- 2,000 coins for agent and chat
- Pro$10/mo
- 40 daily agent requests
- 64k context window
- 10,000 coins monthly
- EnterpriseOn request
- On-premise deployment
- Custom coin allocation
- Fine-tuning support
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 Refact if
- You need autonomous agent workflows.
- You want to start without paying.
- You work on VS Code, Web.
- You also want ide chat.
Questions people ask
- Is Databox or Refact better?
- Neither clearly leads. Databox starts at Free and Refact at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Databox or Refact?
- Databox starts at Free and Refact at Free.
- Does Databox or Refact run on more platforms?
- Databox runs on Web, iOS, Android, TV and console. Refact runs on VS Code, Web.
- 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 Refact is typically brought in for.
- What can Databox do that Refact cannot?
- Databox covers Pre-built dashboards, Dashboard designer, Metric library, Goal tracking. Refact covers Autonomous agent workflows, IDE chat, Real-time code completions, GitHub integration.
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.
SourceRefact: How many programming languages does Refact support?
Refact supports 25+ programming languages including Python, JavaScript, Go, Rust, Java, C++, and many others.
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.
SourceRefact: Can I deploy Refact on-premises?
Yes. Refact offers on-premise deployment options for organizations requiring complete data control and privacy.
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.
SourceRefact: What LLMs does Refact support?
Refact works with multiple LLMs including Claude, GPT-4, and open-source models, giving you flexibility in model selection.
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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