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Competitor comparison

Snowflake Cortex vs Domo

Domo is a complete analytics cloud that ingests and hosts your data, while Snowflake Cortex is an AI layer 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 Cortex 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 Cortex 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 Cortex 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 Cortex covers, and what it leaves out

Snowflake Cortex starts from the opposite assumption: the data is already in Snowflake and should never leave. Cortex Analyst reads a Semantic View, a YAML file of metrics, joins, synonyms, and verified queries, and writes SQL that runs under the roles and row-level policies you already maintain. Snowflake Intelligence gives business users a chat surface, and the REST API lets a platform team put the same capability into Slack, Teams, or a Streamlit app.

What Cortex does not include is everything around the question. There are no connectors, no visual ETL, no dashboard pages, and no alert schedules. A Domo replacement built on Cortex means Snowflake for storage, a separate ingestion tool, dbt or similar for modeling, and a BI tool for recurring reporting, with Cortex as the conversational layer on top. That stack can be cleaner than Domo, but it is a project, not a toggle.

How the bills behave

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. Cortex Analyst bills per successful message, and the warehouse compute for each generated query is billed on top. Neither is a flat line item, so model both against your real query volume before assuming one is cheaper.

Domo and Cortex, job by job

CriterionSnowflake CortexDomo
Where the data livesStays in your Snowflake account; Cortex queries it thereLoaded into Domo's cloud, with Cloud Amplifier able to query some external warehouses in place
Getting data inNot included; you need your own pipelines into Snowflake1,000+ vendor-managed connectors
ModelingSemantic Views in YAML, maintained by the data teamMagic ETL dataflows, Beast Mode formulas, and DataSet views inside Domo
Dashboards and alertsNone built in; chat answers and custom apps onlyCards, pages, mobile views, alerts, and scheduled reports
AI surfaceText-to-SQL through Snowflake Intelligence or the REST APIDomo.AI agents and toolkits, plus an MCP Server for outside assistants
Vendor outlookFollows Snowflake's platform roadmapPart of Progress since September 2026; roadmap and packaging not yet published
Cost shapePer-message Analyst charges plus warehouse computeConsumption credits plus platform fees, often reported as hard to predict

Cortex 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 and a separate dashboard tool for recurring reports.

Security requires that analytics queries never move data outside the 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.

A Domo replacement that also answers questions

Basedash covers the parts of Domo that Cortex 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 94.8%. Cortex was the quickest agent at 19.0 seconds but answered 19.2% correctly on its default setup. 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 Cortex replace our Domo account?

Only as part of a larger stack. Cortex answers natural-language questions against Snowflake data, but it has no connectors, no visual ETL, no dashboards, and no alerting. To retire Domo you would need pipelines into Snowflake, a modeling layer such as dbt, Semantic Views for Cortex, and a BI tool for the recurring reports 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 Cortex?

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. Cortex 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. Cortex, by contrast, never moves data out of 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 94.8%, where Cortex managed 19.2%. It is a weaker fit if you want a raw text-to-SQL API to build your own assistant.

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