Alternatives · Search and AI analytics
Cortex Analyst is a fully managed Snowflake feature that answers business questions in natural language by generating SQL over structured data held in Snowflake. It suits organisations whose data already lives in Snowflake and who want natural-language questions without moving it. If the question on your desk is why a number moved, and your data arrives as exports, there is a lighter way to answer it.
Cortex Analyst is a fully managed Snowflake feature that answers business questions in natural language by generating SQL over structured data held in Snowflake. It is offered as a REST API that developers build into their own applications, and it relies on semantic views that describe the business meaning of tables. Snowflake's own conversational agent product, launched as Snowflake Intelligence and now called Snowflake CoWork, uses the same semantic views through Cortex Agents.
None of these is a fault in Cortex Analyst. They are situations where a team needs something narrower, sooner or lighter than what it is built to do.
| The situation | How Covirage approaches it |
|---|---|
| It works on data held in Snowflake | Covirage works on the exports you already have, wherever they come from |
| It is an API a developer puts in front of users | Covirage is a finished product your desk opens in the browser |
| Semantic views and verified queries are ongoing work for a data team | The measures ship with the product and we set them up for you |
| Costs combine per-message credits with warehouse compute | Three tiers on one sheet, with no metering of warehouse compute |
| Cortex Analyst | Covirage | |
|---|---|---|
| Built for | Organisations whose data already lives in Snowflake and who want natural-language questions without moving it; Development teams building a chat or question-answering feature into an internal or customer-facing app | The person waiting for the answer: one desk, then the next |
| How it gets data | Live query of tables in Snowflake. Cortex Analyst generates SQL against the tables described in a semantic view, and that SQL is executed on a Snowflake virtual warehouse. Data from other systems must first be loaded into or shared with Snowflake. | Files and sheets now; scheduled delivery by API, S3, Azure, SFTP or email on Business; connections built with your team on Enterprise |
| Needs before the first answer | A Snowflake account with the relevant data loaded; Semantic views describing tables, metrics, synonyms, joins and verified queries; A developer to call the REST API from an application, or an agent configured in Cortex Agents or Snowflake CoWork | The exports your systems already produce. No warehouse, no modelling language, no data team |
| Typical setup | Not published | Minutes on a file you already export; set up for you within a week |
| AI | An LLM-powered service translates a natural-language question into SQL, guided by semantic views (descriptions, synonyms, join paths, metrics and verified example queries). The generated SQL runs in Snowflake and results are returned to the calling application. Since August 2026 Snowflake recommends invoking it through Cortex Agents, which uses the same semantic views for SQL generation; Snowflake CoWork (formerly Snowflake Intelligence) is the end-user agent built on this. | The AI model chooses a measure and writes the explanation; our tools do the arithmetic and check every total |
| Published pricing | Consumption-based. Through the Cortex Analyst REST API, Snowflake's Service Consumption Table (effective 23 September 2026) lists 67 platform credits per 1,000 messages, with only successful responses counted; warehouse compute to run the generated SQL is billed separately. On-demand platform credits are listed at $2.00 (Standard), $3.00 (Enterprise) and $4.00 (Business Critical) in AWS US East (Northern Virginia). Use through Cortex Agents is billed on the token-based model for agents instead. | Three tiers on one sheet, shared in a conversation |
| Getting data out | Results are ordinary Snowflake query results: they can be read by any tool that connects to Snowflake, or unloaded with COPY INTO to an internal stage or to Amazon S3, Google Cloud Storage or Azure, then downloaded with GET. | Export every table as a workbook or JSON at any time |
Many teams use both: Cortex Analyst for what it is built for, and Covirage for the recurring question a desk would otherwise hand to an analyst.
You may not need to, if your data team will build and maintain the semantic views and an application. Covirage suits the desk that needs its recurring question answered this week without waiting for that work, from an export Snowflake can produce as easily as any other system.
Sometimes, and often not. Cortex Analyst is built for organisations whose data already lives in Snowflake and who want natural-language questions without moving it. Covirage answers one desk's questions from the files that desk already exports, set up for you in a week. Many teams keep Cortex Analyst for what it is built for and use Covirage for the question it would otherwise leave to an analyst.
It starts with the exports those systems already produce: files and sheets now, scheduled delivery by API, S3, Azure, SFTP or email on Business, and connections built with your team on Enterprise. We never hold credentials to your systems.
No. The AI model chooses which measure answers the question and writes the explanation. Our tools do the arithmetic, and every total is checked before it is shown. If a question needs a measure we do not have, the assistant says so.
All alternatives · Comparisons · AI for insights and analytics
Bring an export you already produce. The data map opens next, every column mapped once, and the first question is answered in minutes. Free, in your browser, no account. Or talk to us and we will set it up for you.
Facts about other products on this page were checked on 24 September 2026 from the pages below. Product names are trademarks of their owners, used here only to identify them. Covirage is not affiliated with, endorsed by or sponsored by any of them. If something here is out of date, tell us and we will correct it.