Skip to content
Log inStart free
Comparison

Basedash vs Domo

Both platforms cover the full data stack from ingestion and storage through modeling, governance, and BI, but Basedash is AI-native with published pricing, while Domo is now part of Progress Software after a September 2026 acquisition.

Quick decision snapshot

Choose Basedash if you want one platform for the whole data stack — a managed warehouse or your own, 750+ connectors, a semantic modeling layer, enterprise governance, and AI-native BI — with published pricing and a self-serve trial. That combination makes it the most direct migration path for Domo customers who are reassessing their plans now that Progress Software owns Domo. Stay on Domo if your team is deeply invested in Magic ETL, App Studio, and Domo.AI agents, your contract has meaningful time left, and you are comfortable waiting for Progress to publish its long-term roadmap and pricing for the platform.

Where Domo is genuinely strong

Domo has been a serious BI platform for over a decade and the surface area is genuinely impressive. The breadth of 1,000+ pre-built connectors covers the long tail of operational SaaS sources, and Magic ETL gives non-engineers a credible visual interface for shaping data without writing SQL. Cards and pages render fast on mobile, and the platform's notification, alerting, and scheduling primitives are mature in a way that newer entrants are still catching up to. For executive-facing dashboards consumed across desktop, tablet, and phone, Domo is one of the most polished options on the market.

The AI story has also moved fast. Domo.AI now includes a Domo AI Library, AI Agent Builder, AI Toolkits, and a Domo MCP Server that exposes governed Domo data and actions to external AI assistants like Claude, Gemini, and ChatGPT. For enterprises building bespoke AI workflows on top of governed business data, that orchestration framework is a real asset — far beyond a single chatbot — and the MCP positioning is forward-leaning for a legacy BI vendor.

None of that disappeared with the acquisition. Progress Software bought the platform, the engineering team, and the customer contracts, and has said it intends to keep serving Domo customers and supporting the technology. Teams running Domo today can keep doing so while they decide what comes next.

Where Basedash is stronger

Basedash covers the same end-to-end scope that draws teams to Domo, which makes it a like-for-like replacement rather than a BI layer you have to bolt onto a new stack. Basedash Warehouse provisions a fully managed warehouse automatically, 750+ Fivetran-powered connectors sync sources like Salesforce, HubSpot, Stripe, NetSuite, and Google Ads into it, and Basedash Models handle transformation and semantic modeling with reusable measures, segments, verification, and version history. Governance — SSO, SCIM, role-based access, row-level security, audit logs, and SOC 2 Type II — applies across all of it. Teams that already run Snowflake, BigQuery, Redshift, Databricks, or Postgres can connect them directly instead, so the warehouse is a choice rather than a requirement.

On top of that foundation, Basedash is AI-native at the BI layer. Users describe what they want in plain English, the AI generates reviewable SQL against governed model definitions, and the dashboard is published in minutes — not after a Magic ETL pipeline, a DataSet build, and a Card assembly cycle. That speed difference compounds: product managers, growth leads, sales operations, and support managers can each self-serve their own reporting instead of queueing work behind a Domo team or a specialized dashboard builder. Embedded analytics, automations, and Slack answers ship from the same workspace, so there is no separate Domo Everywhere motion.

Pricing is the other big practical difference. Basedash publishes its plans and is predictable from quarter to quarter. Domo's consumption-based credits are flexible on paper, but the reality is widely documented — large renewal increases, surprise charges tied to data ingestion, AI agent queries, and storage, and a sales motion that makes total cost of ownership hard to plan — and Progress has not yet said how it will package Domo going forward. Teams say it themselves: Basedash holds a perfect 5/5 across case studies, Product Hunt, G2, and Y Combinator founders, with speed to insight and team adoption being the most common themes.

Capability comparison

CapabilityBasedashDomo
Core experienceFull data stack with AI-native BI — managed warehouse, connectors, semantic models, governance, dashboards, and an AI data analystAll-in-one cloud platform — ingestion, ETL, dashboards, alerts, apps, and Domo.AI agents inside Domo's cloud
Ownership and roadmapIndependent company focused on one product, with releases published in a public changelogPart of Progress Software since September 2026; long-term roadmap, packaging, and pricing not yet announced
Data architectureChoose a fully managed Basedash warehouse or query your own warehouse or database directlyIngests data into the Domo cloud, with Cloud Amplifier for querying some external warehouses in place
Data connectivityDirect warehouse and database connections plus 750+ Fivetran-powered connectors that land in a managed warehouse1,000+ pre-built connectors that load data directly into Domo's cloud — wide breadth, vendor-managed
Modeling and semantic layerBasedash Models — AI-built transformations, measures, segments, and dimensions with verification and version historyMagic ETL dataflows, Beast Mode calculations, and DataSet views maintained inside Domo
AI workflowNatural-language analytics — describe a chart and get a governed dashboard with reviewable AI-generated SQLDomo.AI with AI Agent Builder, AI Library, and an MCP Server that exposes governed data to Claude, Gemini, and ChatGPT
Governance and securitySSO, SCIM, role-based access, row-level security, audit logs, and SOC 2 Type II; AI follows the same permissions as usersMature enterprise governance, certified content, personalized data permissions, lineage, and BI auditing — refined over a decade
EmbeddingFirst-class embedded analytics for internal and customer-facing surfacesDomo Everywhere for embeds; App Studio for custom data apps inside the platform
Pricing posturePublished plans with a 14-day free trial — the Startup plan is $1,000 per month plus AI usage for up to 25 usersConsumption-based credits plus platform fees — widely reported as hard to forecast, with future packaging under Progress still unannounced
Time to first dashboardMinutes — connect a source, ask a question in plain English, publish a governed resultDays to weeks — ingest data, build datasets in Magic ETL, then assemble Cards and pages

Where Domo can be limiting

The all-in-one model has real friction. Datasets have to be ingested into Domo, modeled in Magic ETL or Beast Mode formulas, and maintained there — work that frequently duplicates models that already exist in dbt or in the warehouse, and that stays locked inside Domo if you ever want to leave. Performance on large datasets is a recurring G2 complaint, and visualization customization is more constrained than what warehouse-native tools allow.

Pricing is the other commonly cited limitation. Domo's consumption model spans users, data ingestion, ETL execution, storage, and Domo.AI usage, and the practical effect is that costs are hard to forecast. G2 reviews include detailed accounts of renewal increases of 1,000% or more year over year, sometimes despite reduced consumption. None of this means Domo cannot deliver real value — many enterprises run mission-critical reporting on it — but it does mean evaluation needs to include a serious total-cost analysis and a clear-eyed view of platform lock-in.

The acquisition adds a new question to every Domo decision. Progress bought Domo's business in a $400 million asset purchase that closed on September 22, 2026, and is folding it into the Progress Data Platform. Progress has said it will keep serving customers and supporting the platform, but it has not published a long-term roadmap, and it told investors it expects to fully realize cost synergies from the deal by the end of its 2027 fiscal year. Pricing, packaging, support, and the pace of product development can all shift under new ownership, so teams renewing a Domo contract should ask for written commitments on those points and keep an exit path open.

Basedash is best for

Domo customers who want a full-stack replacement — warehouse, connectors, modeling, governance, and BI — without assembling a multi-vendor stack.

Teams with a modern warehouse that want AI-native BI directly on top of it.

Cross-functional self-serve — product, growth, sales, ops, and support shipping their own dashboards.

Companies that want published, predictable pricing and a self-serve trial.

SaaS businesses that need internal BI and embedded customer-facing analytics in one product.

Domo is best for

Enterprises deeply invested in Magic ETL, App Studio, and Domo.AI agents that are comfortable following Progress Software's roadmap.

Mobile-first executive dashboards across desktop, tablet, and phone.

Organizations building governed AI agents and MCP-based integrations on top of Domo-hosted data.

Recommendation

For most teams evaluating both — and for most Domo customers reassessing after the Progress acquisition — Basedash is the stronger long-term choice. It covers the same end-to-end scope, from a managed warehouse and 750+ connectors through semantic modeling, governance, and BI, with an AI-native experience that compresses the time from question to published dashboard and pricing you can plan around. Domo remains a reasonable choice for enterprises with deep investments in Magic ETL, App Studio, and Domo.AI agents that are comfortable waiting to see how Progress shapes the platform. If a Domo renewal is coming up, running a short Basedash pilot on your most important dashboards is the lowest-risk way to find out whether migrating is worth it.

Evaluating more options? See our full guide to Domo alternatives, or read what the Progress acquisition means for Domo customers.

Related comparisons

FAQ

Is Basedash or Domo a better fit for a modern data stack?

Basedash fits either starting point. If your team already has a warehouse like Snowflake, BigQuery, Redshift, or Databricks, Basedash queries it directly, so your data stays in one place and existing dbt or SQL modeling keeps applying. If you don't, Basedash provisions a managed warehouse and syncs 750+ sources into it, which covers the turnkey scenario that used to be Domo's main advantage. Domo's model ingests data into Domo's cloud and handles ETL, modeling, and visualization on top of that copy, which creates a parallel data layer and concentrates platform risk inside one vendor — a risk that is more visible now that Domo's roadmap depends on Progress Software.

How do the AI experiences compare?

Domo has invested heavily in AI — Domo.AI now includes an AI Library, AI Agent Builder, AI Toolkits, and a Domo MCP Server that exposes governed Domo data and actions to external assistants like Claude, Gemini, and ChatGPT. That orchestration layer is genuinely interesting for enterprises building custom agents on top of their Domo data. Basedash is AI-native at the BI layer itself: users describe a chart or dashboard in plain English, the AI generates reviewable SQL against governed model definitions, and the result is published in a workspace anyone can use. Basedash also runs a remote MCP server, so Claude, ChatGPT, and Cursor can query the same governed data.

How does pricing actually work?

Basedash uses published pricing: the Startup plan is $1,000 per month plus AI usage for up to 25 users, with a 14-day free trial and no credit card required, and Enterprise plans are listed on the pricing page. Domo's pricing is consumption-based, with platform fees plus credits that scale with users, data ingestion, ETL execution, storage, and Domo.AI usage. G2 reviews regularly cite large mid-contract or renewal price increases, including documented cases of 1,000%+ year-over-year jumps despite reduced consumption, and Progress has not yet said whether it will change Domo's packaging. For teams that want to know what their data platform will cost next quarter, Basedash is the more predictable option.

What should we test in a Basedash vs Domo pilot?

Run a pilot on four things. First, time from a real business question to a published dashboard — rebuild three or four of your most-used Domo pages and measure how quickly a non-technical stakeholder gets an answer. Second, total cost of ownership across users, data volumes, and AI usage at one and three years, including a written forecast from Domo under Progress ownership. Third, governance depth — how each platform handles row-level security, metric definitions, and audit. Fourth, portability — Basedash keeps your data in a warehouse you can query directly, while Domo's DataSets, Magic ETL dataflows, and Beast Mode logic live inside its cloud.

Is Domo being discontinued after the Progress acquisition?

No. Progress Software acquired substantially all of Domo's business — the platform, employees, customer contracts, and the Domo brand — and said it expects to continue serving Domo customers and supporting the technology as part of the Progress Data Platform. What has not been announced is a detailed long-term roadmap, future packaging, or pricing. Progress also told investors it expects cost synergies from the deal to be fully realized by the end of its 2027 fiscal year. Domo keeps working today, but customers are right to plan renewals with that uncertainty in mind.

Can Basedash replace Domo's entire data stack?

Yes, for most Domo deployments. Basedash maps to each layer Domo covers: 750+ Fivetran-powered connectors replace Domo connectors, Basedash Warehouse replaces Domo's hosted storage, Basedash Models replace Magic ETL dataflows and Beast Mode calculations, row-level security replaces personalized data permissions, dashboards and the AI data analyst replace Cards and pages, automations replace alerts and scheduled reports, and embedded analytics replaces Domo Everywhere. The main gap is App Studio-style custom data apps, which some teams rebuild as embedded dashboards and others keep in a lightweight internal tool.

We can help you migrate your data and dashboards from any other tool.

Start freeBook a demo