A fair side-by-side comparison for teams choosing between Domo's all-in-one cloud platform and Metabase's open-source, warehouse-native BI.
Choose Domo if you want an enterprise-grade all-in-one data platform — ingestion, ETL, BI, alerts, and AI agents under one vendor — and your scale and budget can absorb usage-based pricing. Choose Metabase if you already have a warehouse, want a free or low-cost BI layer on top of it, and are comfortable operating open-source software or paying for Metabase Cloud. If you want a hosted, polished AI-native BI workspace without either extreme, see the alternative section below.
Domo's depth is the all-in-one operating model: 1,000+ connectors, Magic ETL, Beast Mode, Cards and pages, alerts, mobile-first consumption, App Studio for custom apps, and Domo.AI with its new AI Library, AI Agent Builder, AI Toolkits, and Domo MCP Server. Enterprises that want a single vendor handling the entire path from raw source to executive dashboard — and from data to AI agent — get a coherent platform they can standardize on.
Metabase's strength is approachable open-source BI on top of an existing warehouse or database. The visual query builder lets non-technical users build dashboards without writing SQL, the open-source tier is genuinely free to self-host, and the data stays in your stack. Metabot adds AI-assisted querying and summarization on top, and the Pro/Enterprise tiers add SSO, audit, and governance for teams that need them without giving up the lightweight footprint.
| Criterion | Domo | Metabase |
|---|---|---|
| Operating model | All-in-one cloud platform — ingestion, ETL, BI, alerts, apps, and AI agents under Domo | Open-source BI layer that queries your existing warehouse or database |
| Ownership | Owned by Progress Software since September 2026; long-term roadmap and pricing not yet announced | Independent company with an open-source core |
| Deployment | Vendor-managed cloud only; data ingested into Domo's cloud | Self-hosted open-source edition or Metabase Cloud; data stays in your stack |
| Connectors and ETL | 1,000+ connectors with Magic ETL bundled in | Native database/warehouse connections; relies on external ELT (Fivetran, Airbyte) for SaaS |
| AI experience | Domo.AI — AI Library, AI Agent Builder, AI Toolkits, Domo MCP Server | Metabot — AI-powered queries and summaries, growing but lighter than Domo.AI |
| Governance | Enterprise-grade — certified content, RBAC, row-level security, lineage, SSO, audit | Solid collections/permissions; Enterprise/Pro tiers add SSO, audit logs, and advanced controls |
| Performance | Optimized for large datasets in Domo's cloud with aggregation and caching | Depends on the underlying warehouse; query speed inherits from your stack |
| Pricing posture | Usage-based with platform fees plus credits — opaque and prone to renewal jumps | Free open-source tier; transparent per-user pricing on Cloud, Pro, and Enterprise plans |
Enterprises that want a single vendor for the entire data and BI stack.
Mobile-first executive dashboards across desktop, tablet, and phone.
Building governed AI agents and MCP-based integrations on top of business data.
Small and mid-size teams that want free, self-hostable dashboards.
Teams that already operate a warehouse and don't need bundled ingestion.
Engineering-led adoption that values open-source flexibility and transparency.
Domo is more platform than most teams need, and Metabase puts the operating burden on you (or the cost of Metabase Cloud and Enterprise tiers). A hosted, AI-native BI workspace on top of your warehouse — with governed metrics, embedded analytics, and predictable pricing — often hits the middle better than either extreme.
Domo's ownership also changed in September 2026, when Progress Software completed its acquisition of Domo's business, and its long-term roadmap and pricing have not been announced. Domo customers who consider Metabase as a cheaper replacement should budget for the ingestion, warehouse, and modeling layers Metabase doesn't include.
Basedash is a hosted AI-native BI workspace that queries your warehouse directly. Users describe dashboards in plain English, the AI generates reviewable SQL against governed metric definitions, and the result publishes in minutes. Governed metrics, RBAC, audit logs, and SOC 2 are built in, so the governance gap between open-source Metabase and enterprise Domo is closed without adding operational overhead.
That is the gap Basedash closes for Domo customers reassessing after the Progress acquisition. Basedash includes a managed warehouse, 750+ connectors, and Basedash Models in place of Magic ETL and Beast Mode, so leaving Domo doesn't mean assembling and operating a separate ingestion and modeling stack under a lighter BI tool.
Pricing is transparent and predictable, 750+ Fivetran-powered connectors bring SaaS sources into your managed warehouse, and embedded analytics for customer-facing surfaces ships from the same product. For another data point on how Basedash holds up in practice, see our reviews page.
A full-stack Domo replacement — storage, connectors, semantic modeling, and BI in one product.
AI-native BI hosted for you — no Metabase ops, no Domo cloud lock-in.
Enterprise governance with reviewable AI-generated SQL and RBAC.
750+ connectors and embedded analytics in a single workspace.
We also measured it directly. On BI Bench, our public benchmark of AI data analyst agents against a real database with a complex schema, Basedash ranked first overall — answering complex questions more accurately and faster than Metabase.
Compare AI-native warehouse BI with Domo's all-in-one cloud platform across architecture, pricing, and team adoption.
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Compare AI-native analytics speed, SQL workflows, governance, and deployment tradeoffs between Basedash and Metabase.
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Sometimes, but the gaps are real. Metabase's open-source self-hosted tier is genuinely free and covers internal dashboards on a warehouse very well — for a lot of mid-size teams, that's most of what Domo provided. The friction shows up at the edges: Metabase doesn't bundle ingestion or ETL the way Domo does (you operate Fivetran or Airbyte separately), AI features are improving but lighter than Domo.AI, and enterprise governance (certified content, lineage, advanced row-level security) is more developed in Domo. Many teams move BI to Metabase while keeping ELT and warehouse operations in their existing stack.
It's overkill for most small teams. Metabase exists specifically because not every company needs a full all-in-one BI platform, and Domo's pricing model — platform fees plus usage-based credits — does not scale down well. For a small or mid-size team running dashboards on a warehouse, Metabase delivers most of the value at a fraction of the cost. Domo's strengths show up at enterprise scale where the all-in-one bundle, mobile dashboards, and AI agent infrastructure justify the platform commitment.
Metabot has come a long way as Metabase's AI feature — natural-language queries, AI-suggested fields, and summarization on top of governed models. Domo.AI is broader and more enterprise-shaped: an AI Library, AI Agent Builder, AI Toolkits, and a Domo MCP Server that exposes governed data and actions to external AI assistants like Claude, Gemini, and ChatGPT. Domo.AI is more credible for enterprise AI orchestration; Metabot is closer to a smart assistant inside a BI tool.
Consider Basedash if you want a polished AI-native BI workspace on top of your warehouse without taking on Domo's pricing model or operating Metabase's open-source infrastructure yourself. Basedash includes natural-language dashboards with reviewable AI-generated SQL, governed metrics, RBAC, embedded analytics, and 750+ Fivetran-powered connectors. Pricing is transparent and predictable, the workspace is hosted, and the user experience is built for non-technical stakeholders to self-serve. For Domo customers migrating after the Progress acquisition, Basedash replaces Domo's connectors, storage, and modeling too, while Metabase covers only the dashboard layer.