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Competitor comparison

Mode vs Snowflake CoWork

Mode, part of ThoughtSpot since 2023, is a SQL and notebook workspace for analysts, while Snowflake CoWork, Snowflake's personal work agent, 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 Snowflake CoWork 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 CoWork to take easy questions off analysts who keep working in Mode.

The analyst queue is what links these two

Mode and Snowflake CoWork 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. CoWork 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.

Snowflake CoWork as a junior SQL writer

Think of Snowflake CoWork as a query writer that only knows what you tell it. The data team describes metrics, entities, and relationships in semantic views and connects them to an agent; CoWork's Cortex Analyst tool uses them 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 the CoWork app on the web or iOS.

Unlike a human analyst, its answers on structured data are only as good as the semantic views behind it. It can re-run a question on a schedule and email a summary, which covers some simple recurring reports, but reports an analyst writes and checks still need a home such as Mode.

Dividing SQL work between Mode and Snowflake CoWork

CriterionModeSnowflake CoWork
Who writes the queryAn analyst, by handCoWork's agent, from a business user's question
LanguagesSQL plus Python and R notebooksSQL generated from semantic views, plus Python run in a sandbox
Recurring deliveryScheduled reports shared with stakeholdersScheduled automations that email a summary and a report link
Hard questionsAs deep as the analyst's skill allowsDeep Research breaks open-ended questions into a cited report
WarehousesCloud warehouses including SnowflakeSnowflake only
OwnershipThoughtSpot, since 2023Snowflake
What limits scaleNumber of analysts availableSemantic view coverage and quality

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.

Snowflake CoWork helps most when

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

Business users need quick answers in a chat app on the web or in an iOS app.

The data team has time to write and test semantic views for common questions.

Taking questions off analysts without a modeling project

Basedash goes after the same analyst queue as Snowflake CoWork, but builds toward shared dashboards rather than individual conversations. 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 95.8% accuracy, against 81.1% for Snowflake CoWork, 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 CoWork 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. Snowflake CoWork writes the SQL, users see the answer in its web or iOS app, and analysts are not involved. Simple recurring questions can also run as scheduled automations. Reports that need an analyst to author and check them still land 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. Snowflake CoWork 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 Snowflake CoWork writes?

Review it, at least at first. Snowflake CoWork traces its answers back to the source queries, so an analyst can read the SQL, and its accuracy depends heavily on the semantic views behind it. On BI Bench's default setup, Snowflake CoWork met 81.1% of criteria, third of eleven tools, at 55.5 seconds per answer. Adding verified answers for common questions gives users trusted responses. A practical pattern is to have Mode analysts spot-check CoWork 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 95.8%, 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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