Databox review

Databox is a business intelligence and agentic analytics platform that brings business data, metrics, and context together for analysis, reporting, and automation. Its AI Analyst lets teams ask questions in plain language and get answers based on metrics, goals, and historical data. Dashboards and reports help teams monitor performance and share updates, including with people who do not have a Databox login.

The wider pitch is to connect data sources, define shared meanings for metrics in a semantic layer, and use goals, OKRs, agents, and automations to move from reporting toward action. The published material describes connections to tools, spreadsheets, databases, and APIs, but does not specify which individual connectors are available. That matters: for a migration, connector coverage and the depth of each integration are more important than the size of the feature list.

Databox’s appeal is consolidation: bring data into one place, establish common metric definitions, and give teams a shared view of performance. The AI Analyst can answer questions using metrics, goals, and history, while agents and automations are designed to handle recurring analysis and workflows under human oversight. Dashboards, reports, and goals round out the monitoring and sharing side.

The pricing page lists a free plan with 1 user, 3 data sources, 50 AI credits a month, 1 dashboard and report, and 10 custom metrics. Paid plans are listed with annual billing and a 20% saving; the monthly equivalents start at $71 for Analyst, with 1 user, 5 sources, and 150 AI credits monthly. Team Core is $199 a month equivalent for 3 users, 10 sources, and 500 credits; Team Scale is $319 for 10 users, 30 sources, and 1,000 credits. Agency is listed at $79, with unlimited users, 20 sources, and 300 credits. The page also lists a 14-day free trial.

Databox’s plan caps make source and AI-credit needs worth checking before a switch. The free plan allows 3 sources; Analyst allows 5, Team Core 10, Team Scale 30, and Agency 20. Agency includes unlimited users, but not unlimited sources or AI credits. Extra Agency account packs cost $20 a month each, while an AI credit top-up is listed at $200 a month. Branding and white-labeling costs $80 a month, and OKRs are a $14-a-month add-on. Fifteen-minute sync per source is available as an add-on, but its price is not published. Paid monthly billing rates are also not shown; the listed prices are annual-billed monthly equivalents.

Integration risk is not just theoretical. In one Reddit thread, an agency said its Matomo integration had major limitations and reported trouble with LinkedIn; another commenter described building dashboards from Matomo’s API instead. Those are user reports, not proof every account will hit the same issues. Still, verify the specific connectors and data fields you rely on before committing.

The pricing page lists a free plan and a 14-day free trial. Paid prices are annual-billed monthly equivalents; monthly rates are not shown. Analyst starts at $71 per month for one user, five data sources and 150 AI credits. Team Core is $199 for three users, 10 sources and 500 credits—a $128 jump. Team Scale is $319 for 10 users, 30 sources and 1,000 credits, $120 above Team Core. Agency is $79 for unlimited users, 20 sources and 300 credits, with extra account packs at $20 each. Check which plan fits before comparing prices: Agency is aimed at multi-client work, not a straight cheaper substitute for Team Core.

Add-ons can change the bill: AI credit top-ups are $200/month, branding and white-labeling $80/month, advanced security $40/month, fiscal calendar $160/month and OKRs $14/month. A 15-minute sync option is listed, but its price is not published. The page says annual billing saves 20%; it does not show monthly rates.

The published information does not specify migration tools, supported import formats, data-export options or cancellation terms. We would verify those before moving historical reporting or making Databox the only place your team can access performance context. The product connects tools, spreadsheets, databases and APIs, but that does not confirm support for your specific sources; check each integration and the limits on your intended plan.

Capacity can affect a switch: plans cap data sources, AI credits and users, and the listed maximum sync frequency for Analyst, Team Core and Team Scale is hourly. Databox lists a 15-minute sync add-on, but its price is not published. Those limits may matter if your existing reports rely on more frequent updates or more sources.

The published material includes no Reddit posts or user reports about why people leave Databox, so we can’t responsibly claim a common exit trigger. Before switching away, confirm you can export the data and reports you need; those details are not published on the vendor's site.