Skip to content
Start free
Log inStart free
Competitor comparison

Snowflake Cortex vs Explo

Explo puts white-labeled, multi-tenant dashboards inside your product, while Snowflake Cortex gives your engineers an API for building a natural-language question feature on Snowflake data.

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 Cortex if your product team wants to build its own "ask your data" feature on Snowflake and has the engineering time to design the interface and tenant scoping. Teams that want both dashboards and questions in the product should look past this pair.

The one buyer who compares these

Explo and Snowflake Cortex 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 powered by Cortex Analyst. 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.

Cortex as a building block, not a product

From a product team's point of view, Cortex is a set of parts. Cortex Analyst turns a question into SQL against a Semantic View, and the REST API means you can call it from your own backend and 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.

Two limits matter for customer-facing use. Analyst does not remember the rows it returned earlier in a conversation, and long, shifting threads degrade, so it suits short, specific questions better than open exploration. And every message is billed, with warehouse compute on top, so a popular in-app feature turns into a usage cost you will want to meter.

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. Cortex has no comparable transition, but it does tie the feature permanently to Snowflake.

Embedding analytics with each

CriterionSnowflake CortexExplo
What your customers seeWhatever chat or answer UI your team builds on the APIBranded dashboards and reports that match your app's styling
Tenant isolationBuilt by you on Snowflake roles and row-level policiesMulti-tenant isolation included
Engineering effortBackend integration, UI, prompt handling, and Semantic ViewsReact SDK or web component; dashboards designed in a visual builder
Question style it handlesSpecific questions SQL can answer; weak on follow-ups about earlier resultsDashboards and self-service reports your team designs ahead of time
Data sourcesSnowflake onlySnowflake, Postgres, Redshift, BigQuery, and other warehouses
Product directionSnowflake's platform roadmapOwned by Omni since October 2025; customers transitioning to Omni

Build on Cortex if

Your product already runs on Snowflake and the feature you want is a question box, not a dashboard.

You have engineers to own tenant scoping, the interface, and answer review.

Usage-based cost per question fits your pricing model.

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.

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 Cortex: Basedash scored 94.8% on BI Bench versus 19.2% for Cortex on default settings. 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 Cortex instead of buying Explo?

You can build a natural-language question feature on the Cortex REST API, but you are building, not buying. Your team designs the interface, maps each customer to Snowflake roles or row-level policies, writes and maintains Semantic Views, and decides how to handle answers that are wrong. Cortex also does not produce the dashboards and scheduled reports that Explo ships. It suits product teams that want a short-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.

What does an in-app question feature on Cortex cost to run?

Cortex Analyst is billed per successful message, and each answer also consumes Snowflake warehouse compute when its SQL runs, so cost rises with how often your customers ask questions. Search or Agents add their own charges if you use them. That makes the feature's cost scale with engagement, which is a different shape from licensing an embedded dashboard product. Estimate message volume per customer before choosing the Cortex route, and get an embedded analytics quote to compare it against.

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 94.8% on BI Bench. It is less suitable if your requirement is a fully custom conversational interface where your engineers control every interaction.

We can help you migrate your data and dashboards from any other tool.

Start freeBook a demo