Domo vs Sisense

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.

Sisense is a business intelligence and embedded analytics platform founded in Tel Aviv in 2004 and now headquartered in New York. It merged with Periscope Data in 2019 and is led by CEO Ariel Katz, who previously helped build Power BI at Microsoft. Its core job today is embedded analytics: letting software companies ship dashboards, reports and AI-driven insights inside their own products, white-labeled for their customers.

Sisense connects to cloud warehouses and databases either live or through its ElastiCube data engine, then builds dashboards with drag-and-drop widgets. Developers embed them with iframes or the Compose SDK, a code-first toolkit for React, Angular and Vue. Sisense Intelligence adds natural-language queries, auto-generated narratives and an assistant end users can talk to. Packaging has two tracks: a Self-serve plan you can start for free, and Enterprise with multi-tenancy, column-level security, SSO and on-prem or dedicated cloud hosting.

Sisense fits SaaS companies that sell analytics as a feature and need tight control over tenants and branding. It is a weaker fit for internal-only reporting, where Power BI or Tableau offer more analysts, training and lower per-seat costs, and for tight budgets, where Metabase's open-source embedding or Looker Studio's free tier go further.

Buying tip: Sisense does not publish prices, and third-party reports put cloud contracts in the five figures per year. Get the tenant count, user model and AI usage limits written into the quote, and ask how AI features are billed.