Databox vs Domo

Databox is a business analytics and KPI reporting platform headquartered in Boston with roots in Slovenia. It connects to marketing, sales, finance and product tools, pulls their metrics into one place and turns them into dashboards, scorecards, goals and alerts that non-analysts can build and read. It is especially popular with marketing agencies that report on dozens of client accounts.

More than 100 native integrations, including Google Analytics, HubSpot, Google Ads, Facebook Ads, Shopify, Stripe and QuickBooks, sit alongside connectors for spreadsheets, SQL databases and an API for custom data. Users drag metrics onto dashboards, set goals with progress tracking, schedule scorecards to Slack or email, and use forecasting to project where a metric will land. Benchmarks compare your performance with anonymized peer groups, a feature few competitors offer. A free plan covers a few data sources; paid tiers scale with the number of sources, users and advanced features.

Databox fits SMBs and agencies that want quick, attractive KPI dashboards without a data team. It is not a replacement for a BI tool: data modeling, joins across sources and complex calculations are limited, and some integrations expose only a subset of metrics. AgencyAnalytics and Whatagraph are close alternatives for agency client reporting; Looker Studio is free but more manual; Power BI and Tableau suit companies that need full data modeling.

Domo is a cloud business intelligence platform founded in 2010 in Utah by Josh James, co-founder of Omniture, and listed on Nasdaq in 2018. It combines data integration, dashboards, low-code apps and AI in one hosted product aimed at business teams, not only analysts. In September 2026 Progress Software completed a $400 million acquisition of Domo's AI and data platform business, so Domo now sits inside Progress's data portfolio.

The platform includes 1,000+ prebuilt connectors, drag-and-drop Magic ETL, Cloud Amplifier for querying Snowflake, BigQuery or Databricks without copying data, charts and dashboards, scheduled reports and alerts, App Studio for low-code data apps, embedded analytics for customer-facing reporting, workflows and AI agents with governed model management. Pricing is credit-based: you buy a pool of credits consumed by storage, data refreshes, workflows and AI, with unlimited users and a 30-day free trial.

Domo fits mid-size and large companies that want one vendor for pipelines and dashboards and value mobile, executive-friendly reporting. Power BI is far cheaper for Microsoft shops, Tableau has deeper visual analytics, and Looker Studio or Metabase cover simpler needs for little or no cost. Credit consumption can be hard to forecast, and independent estimates put typical contracts in the tens of thousands of dollars per year.

Buying tip: because of the Progress acquisition, ask about roadmap, support continuity and contract terms before renewing or signing a multi-year deal, and model credit burn on your real refresh schedules during the trial.