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Competitor comparison

Domo vs Snowflake CoWork

Domo is a complete analytics cloud that ingests and hosts your data, while Snowflake CoWork is a work agent that answers questions where your Snowflake data already sits.

Quick decision snapshot

Pick Domo if you want one vendor to load, shape, chart, and alert on data, and you are comfortable with that data living in Domo's cloud. Pick Snowflake CoWork if Snowflake is already your system of record and the missing piece is natural-language answers, not ingestion or dashboards. Most Domo customers asking this question are really asking whether Snowflake plus CoWork can replace Domo, and on its own it cannot.

Why Domo customers are looking at Snowflake now

The pairing usually comes from a Domo renewal. Progress Software's asset purchase of Domo's business closed in September 2026, and the product is being merged into the wider Progress Data Platform. Progress has said it will keep supporting customers, but there is no published long-term roadmap or pricing yet. Teams that already copy the same data into Snowflake start asking whether they could drop the second home for it and use CoWork for the question-answering part.

That framing undersells how much Domo does. Domo ships more than 1,000 connectors that load data straight into its cloud, Magic ETL for visual data prep, Beast Mode calculations, Cards and pages that hold up well on phones, and mature alerting and scheduling. Domo.AI adds an AI Agent Builder, an AI Library, toolkits, and an MCP Server that exposes governed Domo data to assistants like Claude, Gemini, and ChatGPT.

What CoWork covers, and what it leaves out

Snowflake CoWork starts from the opposite assumption: the data is already in Snowflake and should never leave. Business users ask questions in a chat app on the web or iOS, and CoWork's agents use Cortex Analyst over semantic views your data team defines, writing SQL that runs under the roles and row-level policies you already maintain. Answers come back as charts and tables, and a question can become a recurring report emailed on a schedule.

What CoWork does not include is the data platform around the question. There are no ingestion connectors and no visual ETL, and it is not a dashboard suite like Domo's Cards and pages. A Domo replacement built on CoWork means Snowflake for storage, a separate ingestion tool, dbt or similar for modeling, and a BI tool for dashboards, with CoWork as the conversational layer on top. That stack can be cleaner than Domo, but it is a project, not a toggle.

How Domo's bill behaves

Domo charges across users, ingestion, ETL runs, storage, and Domo.AI usage, and G2 reviewers often describe that consumption model as hard to forecast, with some reporting steep renewal increases.

Domo and CoWork, job by job

CriterionDomoSnowflake CoWork
Where the data livesLoaded into Domo's cloud, with Cloud Amplifier able to query some external warehouses in placeStays in your Snowflake account; CoWork queries it there
Getting data in1,000+ vendor-managed connectorsNot included; you need your own pipelines into Snowflake
ModelingMagic ETL dataflows, Beast Mode formulas, and DataSet views inside DomoSemantic views and agents, set up by the data team
Dashboards and alertsCards, pages, mobile views, alerts, and scheduled reportsCharts and tables in chat, saved artifacts, and scheduled email reports
AI surfaceDomo.AI agents and toolkits, plus an MCP Server for outside assistantsA chat agent on the web and iOS, using Cortex Analyst for SQL and Cortex Search for documents
Vendor outlookPart of Progress since September 2026; roadmap and packaging not yet publishedFollows Snowflake's platform roadmap
Cost shapeConsumption credits plus platform fees, often reported as hard to predictRuns inside your Snowflake account

Domo makes more sense when

You do not run a warehouse and want ingestion, ETL, and dashboards from one contract.

Executives read reports on phones and rely on Domo's alerting and scheduling.

You are building agents on Domo.AI and want to expose that governed data through its MCP Server.

CoWork makes more sense when

Snowflake already holds the data Domo is copying, and you want to stop paying to store it twice.

Your data team can own semantic views, agents, and a separate dashboard tool.

Security requires that analytics queries never move data outside the Snowflake account.

A Domo replacement that also answers questions

Basedash covers the parts of Domo that CoWork skips. It can run on a managed warehouse or on your existing Snowflake account, brings 750+ connectors through built-in Fivetran, and uses Basedash Models for transformations and metric definitions. Users request charts in everyday language, check the generated SQL, and publish it as a dashboard, scheduled report, Slack answer, or embed, with row-level security and audit logs underneath.

Basedash also topped BI Bench, scoring 95.8%. Snowflake CoWork placed third at 81.1%, averaging 55.5 seconds per answer. Basedash is not the pick if years of Magic ETL dataflows are not ready to be rebuilt, or if your goal is a Snowflake-only conversational API for engineers to build on.

Also compare each against Basedash

FAQ

Can Snowflake plus CoWork replace our Domo account?

Only as part of a larger stack. CoWork answers natural-language questions against Snowflake data and can email scheduled reports, but it does not ingest data, has no visual ETL, and is not a dashboard suite. To retire Domo you would need pipelines into Snowflake, a modeling layer such as dbt, semantic views and agents for CoWork, and a BI tool for the dashboards Domo users rely on. Teams that already land most of their data in Snowflake find that path realistic; teams that depend on Domo's connectors and Magic ETL usually find it is a rebuild.

What does the Progress acquisition change for teams comparing Domo with CoWork?

It adds vendor uncertainty to the Domo side. Progress closed the Domo deal in September 2026 and has promised continued customer support, but it has not published a long-term roadmap, packaging, or pricing. If you are renewing, ask for written commitments on those points and keep an exit path open. CoWork carries a different kind of dependency: it is tied to Snowflake, so it only makes sense if you plan to stay on Snowflake.

Does Domo work with data that already lives in Snowflake?

Partly. Domo's default model ingests data into its own cloud, and its more than 1,000 connectors are built around that. Its Cloud Amplifier feature can query some external warehouses in place, which cuts down on duplicate copies. The modeling still happens in Domo's tools, Magic ETL and Beast Mode, so business logic tends to live in Domo rather than alongside the warehouse. CoWork, by contrast, works on governed data in Snowflake and reads its definitions from semantic views.

Who should skip both and look at Basedash?

When you want Domo's end-to-end coverage without its consumption pricing, and conversational answers that are accurate on default settings. Basedash includes a managed warehouse or connects to your Snowflake account, 750+ Fivetran connectors, modeling, dashboards, Slack answers, and embeds. Its BI Bench score was 95.8%, where Snowflake CoWork reached 81.1%. It is a weaker fit if you want a raw text-to-SQL API to build your own assistant.

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