Databox review
A focused KPI and performance-monitoring workspace with broad data connections.
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Databox is a cloud business intelligence and analytics platform for growing businesses, agencies, and performance teams. It brings together data from marketing, sales, finance, support, databases, spreadsheets, and APIs, then turns it into dashboards, reports, metrics, goals, alerts, and AI-assisted analysis. Marketing and performance teams can use it to monitor KPIs, track OKRs, ask plain-language questions through AI Analyst, share dashboards, and automate reporting.
The freemium structure gives teams a low-commitment entry point. The Free plan costs $0 per month and includes 1 user, 3 data sources, 1 dashboard or report, 50 AI credits per month, and daily maximum sync frequency. Analyst costs $71 per month when billed annually and adds 5 data sources, 150 AI credits, hourly maximum sync frequency, custom data integrations, and API access. Team Core costs $199 per month, while Team Scale costs $319 per month, adding more users, data sources, AI credits, and team capabilities. Agency pricing is $79 per year and includes unlimited users, client packs, bulk actions, custom templates, and cross-client reporting. A Custom plan adds expanded capacity, setup audit, AI stack design and integration, and embedded engineer support.
Integration breadth is a central strength. Databox connects with services including Google Analytics 4, HubSpot, Google Ads, Facebook Ads, Google Sheets, Excel, Salesforce, Shopify, Stripe, MySQL, PostgreSQL, Snowflake, BigQuery, Zapier, and Make. Custom integrations and REST API data ingestion extend that ecosystem. Its semantic layer, verification, ownership, lineage, and access controls support governed reporting, while scheduled reports, snapshots, alerts, and notifications help distribute performance updates. Choose Databox if KPI monitoring, marketing reporting, and connected performance workflows are the priority. Teams seeking a broader general-purpose BI environment may prefer a different focus.
Databox pros and cons
- Where it wins
- Connects to 130+ tools, databases, spreadsheets, and APIs
- Combines KPIs, OKRs, goals, alerts, and anomaly detection
- AI Analyst answers performance questions in plain language
- Where it doesn't
- The Free plan supports only 1 user, 3 data sources, and 1 dashboard
- Paid plans start at $71 per month when billed annually
- Its performance focus may not suit teams seeking broad BI workflows
Databox fact sheet, pricing and score →
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