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Competitor comparison

Snowflake Cortex vs Mode

Mode, part of ThoughtSpot since 2023, is a SQL and notebook workspace for analysts, while Snowflake Cortex generates SQL from plain-English questions so non-analysts can query Snowflake directly.

Quick decision snapshot

Pick Mode if your analysts are the engine of reporting and you want them writing SQL, adding Python or R, and sending scheduled reports from one collaborative place. Pick Cortex if you want business users to get simple answers without filing a request, and your data team will maintain Semantic Views to keep those answers correct. Many Snowflake teams would use Cortex to take easy questions off analysts who keep working in Mode.

The analyst queue is what links these two

Mode and Cortex come up together when an analytics team on Snowflake is overloaded. Mode is where those analysts already work: they write SQL, extend it with Python or R notebooks, and publish reports that stakeholders receive on a schedule. Every new question still needs an analyst to write a query. Cortex Analyst promises to write that first query itself.

Mode is good at what it was built for. It supports flexible investigation, reusable analytical patterns, and tight technical control over logic and output. For teams with strong analyst capacity and established SQL practice, it is productive and reliable. ThoughtSpot acquired Mode in 2023, so its roadmap now sits inside a larger analytics company. The weakness is the same as the strength: as more of the business depends on recurring reports, analyst mediation becomes the bottleneck.

Cortex as a junior SQL writer

Think of Cortex Analyst as a query writer that only knows what you tell it. The data team describes tables, joins, metrics, synonyms, and approved example queries in a Semantic View; Cortex uses that to turn a plain-English question into SQL that anyone can inspect, and runs it with the permissions Snowflake already enforces. People use it in Snowflake Intelligence or in whatever Slack, Teams, or Streamlit tool your engineers connect to the API.

Unlike a human analyst, it does not remember the rows it returned a moment ago, it loses the thread in long conversations, and it is poor at broad questions like "what trends do you see." Without a curated Semantic View it can be wrong with confidence. It also does not schedule or distribute anything, so recurring reports still need a home such as Mode.

Dividing SQL work between Mode and Cortex

CriterionSnowflake CortexMode
Who writes the queryCortex Analyst, from a business user's questionAn analyst, by hand
LanguagesSQL generated from Semantic ViewsSQL plus Python and R notebooks
Recurring deliveryNone; answers are on demandScheduled reports shared with stakeholders
Hard questionsStruggles with open-ended or multi-step follow-upsAs deep as the analyst's skill allows
WarehousesSnowflake onlyCloud warehouses including Snowflake
OwnershipSnowflakeThoughtSpot, since 2023
What limits scaleSemantic View coverage and qualityNumber of analysts available

Cortex helps most when

Analysts spend their time on simple lookups that a well-defined metric could answer.

Business users need quick answers in Slack, Teams, or a Streamlit app.

The data team has time to write and test Semantic Views for common questions.

Mode remains the better tool when

Analysts need SQL, Python, and R side by side for real investigation.

Stakeholders expect scheduled reports authored and checked by an analyst.

Your warehouse footprint goes beyond Snowflake.

Taking questions off analysts without a modeling project

Basedash goes after the same analyst queue as Cortex, but ends in reports rather than a chat reply. A product or ops lead describes the chart they want, Basedash writes SQL that an analyst can review, and the result can be saved as a dashboard, scheduled, or posted to Slack. It placed first on BI Bench with 94.8% accuracy, against 19.2% for Cortex on defaults, and it works with Snowflake and other sources.

Analysts who want a code-first notebook with Python and R will still prefer Mode for their own deep work.

Also compare each against Basedash

FAQ

Can Snowflake Cortex reduce the number of requests our Mode analysts handle?

It can for well-defined questions, such as a metric by region last quarter, once a Semantic View covers that domain. Cortex Analyst writes the SQL, users see the answer in Snowflake Intelligence or an app, and analysts are not involved. It helps less with open-ended investigation, multi-step follow-ups that rely on earlier result rows, or anything that needs a scheduled report, which still lands with your Mode analysts. Measure how many incoming requests are simple lookups before expecting a big change.

Does ThoughtSpot owning Mode affect this choice?

It is worth factoring in. ThoughtSpot acquired Mode in 2023, so Mode's direction now follows a company whose main product is search-first analytics. Mode customers should ask how their SQL and notebook workflows fit that roadmap. Cortex is tied to Snowflake instead, which is a different kind of dependency: stable if Snowflake is your long-term platform, limiting if you might add another warehouse. Neither is a reason to switch on its own.

Should analysts trust SQL that Cortex writes?

Review it, at least at first. Cortex Analyst produces explainable SQL that an analyst can read, and its accuracy depends heavily on the Semantic View behind it. On BI Bench's default setup it answered 19.2% of criteria correctly, the tenth of eleven tools, while being the fastest at 19.0 seconds. Adding verified queries for common questions improves reliability. A practical pattern is to have Mode analysts spot-check Cortex answers in a domain before opening it broadly.

When should a Mode team consider Basedash?

When the reporting load from product, sales, and ops keeps outpacing your analysts and you want those users to build dashboards themselves. Basedash converts everyday-language requests into dashboards and scheduled reports, leaves the SQL open for analyst review, came first on BI Bench with 94.8%, and connects to Snowflake and other sources. Analysts who rely on Python or R notebooks can keep Mode for that work.

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