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Competitor comparison

Explo vs Snowflake CoWork

Explo puts white-labeled, multi-tenant dashboards inside your product, while Snowflake CoWork is Snowflake's hosted chat agent for your own team, built on Cortex Agents that engineers can also call through an API.

Quick decision snapshot

These are not substitutes. Pick Explo if your customers need dashboards inside your app that look native and isolate each tenant's data, and you are prepared for its transition into Omni. Pick Snowflake CoWork if the people asking questions are your own employees. Embedding the CoWork app in your product is not documented, so a customer-facing "ask your data" feature means building on the Cortex Agents API behind it and designing the interface and tenant scoping yourself. Teams that want both dashboards and questions in the product should look past this pair.

The one buyer who compares these

Explo and Snowflake CoWork meet in a narrow spot: a SaaS company that keeps customer data in Snowflake and wants to give its own customers analytics. One route is Explo, a product built for exactly that job. The other is to skip dashboards and expose a question box built on the Cortex Agents that power CoWork. Outside of that scenario, an internal BI buyer would rarely put them on the same shortlist.

Explo's case is mature. It offers deep white-labeling down to colors, fonts, and spacing, multi-tenant data isolation out of the box, a React SDK and web components for engineers, a drag-and-drop builder so non-engineers can design customer views, and scheduled email reports. It connects directly to Snowflake, Postgres, Redshift, BigQuery, and other warehouses. Its AI features help with dashboard creation but are limited in scope.

CoWork is built for your own team

Snowflake CoWork is a ready-to-use chat app on the web and iOS where employees ask questions of Snowflake data and get charts, tables, and scheduled reports. Embedding that app in your own product is not documented. From a product team's point of view, the usable parts are the Cortex Agents behind it: you call them through the REST API from your own backend, they use Cortex Analyst to turn a question into SQL over a semantic view, and you render the answer however you like. Queries run under Snowflake roles and row-level security, which gives you primitives for scoping each customer's data, but mapping tenants to those policies, designing the chat UI, and handling bad answers are all yours to build.

Explo's ownership change

Omni acquired Explo in October 2025. Explo runs as a wholly owned subsidiary while existing customers move to the Omni platform, so a new Explo project is in practice an Omni decision. CoWork has no comparable transition, but it does tie the feature permanently to Snowflake.

Embedding analytics with each

CriterionExploSnowflake CoWork
What your customers seeBranded dashboards and reports that match your app's stylingNothing by default; CoWork is for your own team, so customers see whatever UI you build on the Cortex Agents API
Tenant isolationMulti-tenant isolation includedBuilt by you on Snowflake roles and row-level policies
Engineering effortReact SDK or web component; dashboards designed in a visual builderBackend integration, UI, agent setup, and semantic views
Question style it handlesDashboards and self-service reports your team designs ahead of timeNatural-language questions with follow-ups, plus Deep Research for open-ended why questions
Data sourcesSnowflake, Postgres, Redshift, BigQuery, and other warehousesSnowflake only
Product directionOwned by Omni since October 2025; customers transitioning to OmniSnowflake's platform roadmap

Choose Explo if

Customers expect polished, on-brand dashboards inside your app.

You want tenant isolation and an SDK rather than building them.

You are comfortable that the product's future runs through Omni.

Choose CoWork if

The people asking questions are your own employees, and the data is already in Snowflake.

For a customer-facing question box, you have engineers to build tenant scoping, the interface, and answer review on the Cortex Agents API.

You want answers to stay under the Snowflake roles and row-level policies you already maintain.

Embedded dashboards and questions from an independent vendor

Basedash can sit in the middle of this pair. It builds dashboards from plain-English requests, lets you review the SQL behind each chart, and embeds them in your product, while the same workspace serves internal reporting, Slack answers, and scheduled reports. It connects to Snowflake and other databases, and it is not going through an acquisition transition.

Answer quality is the other reason to test it before building on the agents behind CoWork: Basedash scored 95.8% on BI Bench versus 81.1% for Snowflake CoWork. If you need pixel-level control over every element of a custom in-app chat experience, building directly on an API may still suit you better.

Also compare each against Basedash

FAQ

Can we build customer-facing analytics on Snowflake CoWork instead of buying Explo?

Not with the CoWork app itself, which is Snowflake's hosted chat agent for your own users; embedding it in your product is not documented. You can build a natural-language question feature on the Cortex Agents REST API that powers CoWork, but you are building, not buying. Your team designs the interface, maps each customer to Snowflake roles or row-level policies, sets up semantic views and agents, and decides how to handle answers that are wrong. That route also does not give you the embedded dashboards Explo ships. It suits product teams that want a question feature and have engineering capacity; it does not replace an embedded dashboard product.

What happens to Explo now that Omni owns it?

Omni acquired Explo in October 2025. Explo operates as a wholly owned subsidiary while existing customers are moved onto the Omni platform, so Explo's roadmap now follows Omni's priorities. Current customers should check how Omni handles their white-labeling, multi-tenant setup, and SDK integration. Teams starting a new embedded analytics project should evaluate Omni directly, or an independent option, instead of assuming standalone Explo will keep evolving on its own path.

When should a SaaS team look at Basedash instead?

When you want embedded dashboards and natural-language answers from the same tool, without building a chat layer on an API or inheriting a vendor transition. Basedash embeds dashboards in your product, also covers internal reporting and Slack, connects to Snowflake and other sources, and scored 95.8% on BI Bench. It is less suitable if your requirement is a fully custom conversational interface where your engineers control every interaction.

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