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Snowflake CoWork

Your data already sits in Snowflake. Your business teams still wait days for an answer — Snowflake CoWork, formerly Snowflake Intelligence, lets business users ask questions of governed data in plain language, inside a Snowflake account stored in Mumbai or Pune, billed by the token in AI credits.

Plain-language questions on governed dataAccount stored in Mumbai or PuneAI credits by the token, no seat fee

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How it’s rated

Full scoreboard ↓
Pricing
Tokens metered at $2.00–$2.20 per AI credit; Snowflake publishes no flat CoWork fee
AI credits
Adoption
Snowflake’s count at the end of July 2026, given in its 2 September results
5,800 accounts
Analysts
No Gartner or other analyst placement names CoWork, under either of its names
None yet
India
The Snowflake account behind CoWork can keep its data in AWS Mumbai or Azure in Pune
Mumbai or Pune

Quick answer

Snowflake CoWork, sold as Snowflake Intelligence until June 2026, is a work agent that lets business users question governed data in a Snowflake account in plain language. There is no flat fee: the Cortex calls behind each answer use AI credits by the token, at $2.00 Global or $2.20 Regional per credit. It needs a Snowflake account, whose data can sit in AWS Mumbai or Azure Central India (Pune). Snowflake reported 5,800 CoWork accounts. Read more ↓ Show less ↑
Part 01 · Orient

The Snowflake platform family

This page covers Snowflake CoWork — the business-user work agent, formerly Snowflake Intelligence. The rest:

Quick facts

30-second orientation
Product
A work agent that answers business users’ plain-language questions over governed Snowflake data
Maker
Snowflake Inc. (NYSE: SNOW), whose chief executive is Sridhar Ramaswamy
Name
Launched as Snowflake Intelligence; renamed Snowflake CoWork at Summit on 2 June 2026
Status
Ramaswamy announced general availability in November 2025; 5,800 accounts by July 2026
Price
Tokens billed in AI credits: $2.00 per Global credit or $2.20 per Regional credit
Needs
An existing Snowflake account; CoWork is not sold as a standalone subscription
Features
Artifacts, Cortex Sense, User Skills, User Memory and a Skill Catalog, as press reports list them
India
Its host account’s data can sit in AWS Mumbai or in Pune on Azure Central India
Analysts
No analyst placement covers CoWork as a product; TechBag found none
In India via
TechBag — use-case scoping, an AI-credit budget, the quote in INR with GST
Part 02 · Learn

Understand AI analytics agents before you buy one

Most product pages skip this. We start here — so you buy a capability, not a buzzword.

What is a data work agent?

An agent that takes a plain-language question and answers it from governed company data, without a report request.

A ticket to the analyst team vs a work agent in the warehouse — the honest table

What consolidation actually replaces, dimension by dimension.

DimensionRequests queued for the analyst teamSnowflake CoWork
Who answers a data questionAn analyst, from a ticket queueThe person asking, in plain language
Where the data goesExtracts copied into a BI toolStays in the Snowflake account
Whose permissions applyA second set kept in the BI layerThe account’s own roles and policies
How it is paid forNamed-user licences, used or notAI credits by the token, as used
Time to a first answerDays, once the request is triagedOne conversation with the agent
What it is NOT—Standalone, seat-priced, or analyst-ranked

The cheapest test is a three-question pilot: one team, tables already described, and an AI-credit budget alert set before day one.

Under the hood

The five pieces of the platform

Vendors love diagrams; buyers need to know what they’re actually operating. Here’s the whole platform, demystified.

01
Where the agent and the tables sit

Account

Your Snowflake account

CoWork is not a separate SaaS tenant: it runs inside a Snowflake account and reads tables in whichever edition and cloud region that account uses, Mumbai and Pune included.

02
What a given user is allowed to see

Policies

Roles and Horizon Catalog

Snowflake pitches CoWork at governed data. The access roles and Horizon Catalog policies live in the same account, and Horizon ships with the platform rather than as a priced extra.

03
What turns a question into an answer

Cortex

Cortex Analyst and Cortex Agents

Behind the chat window, Cortex Analyst and Cortex Agents do the work; their calls are metered in AI credits per million tokens, at a rate that depends on the model chosen.

04
How it extends past Snowflake tables

Reach

Skills, memory and MCP connectors

Press coverage of the June 2026 relaunch lists user skills, memory, a skill catalog and MCP connectors to Google Drive, Salesforce and Slack; confirm each in your region.

An agent inside your Snowflake account — Cortex does the reasoning, your roles decide what each user sees.

Part 03 · Evaluate

Six capabilities. Ask, act, govern.

Snowflake CoWork answers business questions from governed data without leaving the Snowflake account.

Ask
Natural language

Ask without writing SQL

A sales head types a question about margin or churn and gets an answer built from tables already loaded into the Snowflake account.

Ask
User Memory

Context that carries over

User Memory, one of the features listed at the relaunch, is meant to keep a person’s context between sessions; test what it retains.

Act
Skills

Repeatable tasks as skills

User Skills and a shared Skill Catalog let a team package a recurring analysis once, so colleagues run it instead of rebuilding it.

Act
Connectors

Drive, Salesforce, Slack

MCP connectors to Google Drive, Salesforce and Slack, as reported, bring documents and CRM records into the same conversation.

Govern
Governed data

Answers inside the rules

The agent works in the account where roles and Horizon Catalog policies are set, so data stewards govern one place, not two.

Govern
AI Gateway

One gate for agent traffic

Cortex AI Gateway, built on Snowflake’s 2026 Natoma purchase, is Snowflake’s new layer for agent identity and MCP access control.

See it, don’t just read it

Watch Snowflake CoWork in action

The June 2026 CoWork introduction, the general-availability announcement under the Snowflake Intelligence name, and a plain-language demo from 2025.

Snowflake (official)·Introduction, June 2026

Work Smarter with, Snowflake CoWork, Your Personal Work Agent

Snowflake’s own introduction to CoWork under its new name, aimed at business users rather than data engineers.

Snowflake (official)·Announcement, November 2025

Snowflake CEO Sridhar Ramaswamy Announces Snowflake Intelligence General Availability

The GA announcement, made under the product’s former name, Snowflake Intelligence, seven months before the rename.

Snowflake (official)·Demo, June 2025

Talk To Your Data: Snowflake Intelligence Demo

A walk-through of plain-language questions over account data, recorded when CoWork was still called Snowflake Intelligence.

Want a live, India-context walkthrough for your environment?

Book a guided demo →
Why Snowflake CoWork

Every data question becomes a ticket for a small team. CoWork lets the person asking get the answer.

Here’s what genuinely sets it apart — and exactly where it stops.

01

No second copy of the data to govern

Most AI analytics tools sit outside the warehouse and query into it, so permissions live in two places. CoWork runs inside the Snowflake account itself, next to the roles and Horizon Catalog policies, and that account’s storage can be in AWS Mumbai or Azure Central India (Pune).

02

Paid for by questions, not by seats

Snowflake bills the Cortex calls behind CoWork in AI credits by the token, at $2.00 for a Global credit or $2.20 for a Regional one. A finance head asking five questions a month costs little; a team running heavy analyses daily costs far more, so set a cap.

03

Adopted fast inside the existing base

General availability came in November 2025, when the product was still Snowflake Intelligence. By the quarter ended July 2026 Snowflake reported 5,800 accounts on CoWork, alongside new Cortex Sense and Cortex AI Gateway. Expect features to keep moving.

04

Where it stops

It needs a Snowflake account; unlike Observe it is not sold on its own. Data outside Snowflake arrives only through connectors. Snowflake prints no cost per answer, no analyst has placed it, and the October 2026 end of password-only sign-ins applies to the account it runs in.

The idea
Questions answered inside the account
The residency
Account stored in Mumbai or Pune
The price
Tokens at $2.00–$2.20 an AI credit
Proof, not promises

The numbers behind the platform

5800 accounts
on CoWork in the quarter ended 31 July 2026, under the name it took that June
— Vendor
$2 a credit
for a Global AI credit on Snowflake’s price feed; a Regional AI credit is $2.20
— Vendor
2 Indian regions
for the account CoWork runs in: AWS Mumbai and Azure Central India (Pune)
— Vendor
330+ releases
features Snowflake moved to GA in the half-year to July 2026, CoWork’s own among them
— Vendor
828 customers
paying Snowflake over $1 million in trailing-twelve-month product revenue, up 27%
— Vendor
37%
year-on-year growth in Snowflake product revenue, to $1.49 billion, in Q2 FY2027
— Vendor

What your Snowflake CoWork rollout looks like

Week 1Model

Pick three questions that hurt

List the questions business teams wait longest for, and check the tables that answer them are already in Snowflake.

Week 2Decide

Describe the data properly

Add plain descriptions to the tables and columns involved, and confirm the roles that limit who sees which rows.

Week 3Pilot

Pilot with one business team

Give a single team CoWork, log the questions they ask, and compare each answer against the analyst’s own version.

Month 2Prove

Read the AI-credit bill

Total the AI credits the pilot used, find the heaviest users and models, and set a budget alert before you widen access.

Month 3Commit

Add skills and connectors

Package repeat analyses as skills, decide which MCP connectors are allowed, and roll out team by team with a cap.

Verified reviews

The review scoreboard

Modelled on Gartner Peer Insights structure. *Counts and breakdowns are illustrative pending verified review collection.

4
36+ reviews*
78% would recommend
Answer quality4.0
Ease for business users4.3
Governance4.4
Cost predictability3.4
Reach beyond Snowflake3.5
5★
38%
4★
40%
3★
15%
2★
5%
1★
2%

Quick poll — what’s driving your evaluation?

Talk to an advisor
Retail
“Regional managers now ask for weekly sell-through themselves; our two analysts stopped answering the same question forty times.”
Head of Analytics
Retail
BFSI
“Security liked that nothing left the account we already audit. The review took a week instead of the quarter we feared.”
Data Governance Lead
BFSI
IT Services
“Token billing surprised us in month one when one team ran long analyses daily. A resource budget fixed it, but set it first.”
FinOps Manager
IT Services
Logistics
“Answers were only as good as our table and column descriptions. Cleaning those up mattered more than any prompt tweak.”
Analytics Engineer
Logistics
The market maps

Where everyone sits — the grids

Analyst firms bury this view behind paywalls, and G2 retired its Grid. So here’s TechBag’s synthesis of the AI analytics agent market — tap any vendor to see why it sits where it does.

Grid 01 · The market

TechBag AI Analytics Agent Grid

Execution strength vs product vision — the classic market map, minus the paywall.

ChallengersLeadersSpecialistsVisionaries
Snowflake CoWorkThis page

5,800 accounts by July 2026; metered in AI credits.

Grid 02 · The architecture

Data Reach × Governed Grounding

The grid nobody publishes — how far an agent reaches beyond one platform’s data vs how firmly its answers are tied to governed definitions and permissions.

Governed but platform-boundGoverned and openNarrow assistantsWide but loosely tied
Snowflake CoWorkThis page

One account’s rules; reaches out by MCP connectors.

Positions are TechBag’s illustrative synthesis of public review-platform data and vendor documentation — not a reproduction of any analyst graphic. Verify before relying on it.

Part 04 · Decide

Snowflake CoWork vs the AI analytics agents

Against ThoughtSpot Spotter, Power BI Copilot, SAP Analytics Cloud, Databricks Genie and Salesforce Agentforce — on data reach, pricing, limits, trust and India.

DimensionSnowflake CoWorkThoughtSpot SpotterMicrosoft Power BI CopilotSAP Analytics CloudDatabricks GenieSalesforce Agentforce
What it isAgent in the warehouseAgentic AI analystCopilot inside BIBI, planning, predictDatabricks AI for usersCRM agent platform
DeploymentInside your accountThoughtSpot CloudFabric capacitySaaS run by SAPIn your workspaceSalesforce platform
Data it readsSnowflake + connectorsSeveral warehousesFabric workloadsSAP-centred sourcesLakehouse tablesCustomer data first
Pricing modelTokens in AI creditsQuote, premiumDraws on capacityQuoted by SAPFree to 31 Jan 2027Three models
Published entry price$2.00 per AI creditNot publishedF2 ~$262 a monthNot printed$0 for users, for now~$2 per conversation
Included vs add-onNeeds a Snowflake billSold with ThoughtSpotNeeds Fabric capacityJoule licensed inGenie Code is meteredCRM seats underneath
Scale and limitsSpend is the limitNot publishedCan throttle FabricNot publishedFree window endsCredits drawn down
Trust and groundingSame-account policiesSemantic modelModels plus Q&ASAP data layerDomain agentsTrust layer, Data 360
IntegrationsMCP: Drive, Slack, CRMEmbeds in appsM365 and ExcelSAP applicationsDashboards and AppsSlack and voice
Access and sign-inMFA mandatory nowNot detailed hereAdmin and group controlAsk SAPPrincipals are billedGuardrails in Builder
India storage regionMumbai or PuneNo India regionPrompts go to the USNot publishedMumbai workspaceHyperforce India
Trial and supportTrial with creditsQuote firstNo trial capacityQuote per dealFree until 2027INR pricing
Lock-in and exitTied to SnowflakeWarehouse-agnosticTied to FabricSAP-centred modelsTied to DatabricksTied to Salesforce
Best fitSnowflake-first firmsMulti-warehouse BIMicrosoft estatesSAP finance teamsDatabricks lakehousesCustomer-facing work
● Strong◐ Partial / add-on○ Weak / externalCompiled from public vendor materials and review platforms for orientation; verify before relying on it.

Which approach fits you?

Honest fit signals — because the fastest way to lose your trust is to pretend one product wins every scenario.

Choose Snowflake CoWork if…

  • ✓Your data already lives in a Snowflake account and you want business users answering their own questions inside it
  • ✓You would rather pay per question asked than buy named-user licences for people who log in twice a quarter
  • ✓The account must be stored in India, and AWS Mumbai or Azure Central India (Pune) suits your regulator

Compare alternatives if…

  • ✓Your data is spread across several warehouses — ThoughtSpot Spotter queries Snowflake, Databricks and BigQuery live
  • ✓Your users live in Excel and Teams on Fabric capacity — Power BI Copilot is already paid for there
  • ✓You run Databricks and want a pilot at no user cost before February 2027 — Genie One is free until then

Do not expect…

  • ✓A version you can buy without a Snowflake account behind it
  • ✓A published cost per answer; spend depends on tokens and the model chosen
  • ✓Any analyst-firm ranking for CoWork under its old or new name

TechBag has no AI analytics agents guide yet, so Snowflake CoWork sits outside the category guides. Browse all products to compare it with the rest of the catalogue. →

Do the math

What do queued data requests cost you?

Drag the sliders (business users who ask data questions; their loaded hourly cost). Estimates model time lost raising, chasing and waiting on ad-hoc data requests at an assumed 1.5 hours per user a year, with 70% of it removed by self-service answers. Both figures are assumptions, and AI-credit spend is not included. Illustrative.

300
2510,000
₹800
₹300₹2,000

Loaded cost = salary + overheads per productive hour. Illustrative only — your TechBag quote models your actual environment and modules.

Current annual cost of waiting on data requests
₹3,60,000
Estimated annual savings
₹2,52,000
≈ ₹12,60,000 over 5 years
Turn this into a real quote →
Pricing & plans

Three ways to consume it

Published: Snowflake bills the Cortex calls behind CoWork by the token in AI credits — $2.00 for a Global credit, $2.20 for a Regional one — with no flat fee, and CoWork needs a Snowflake account whose warehouse credits ($2–$6 by edition in Mumbai and Pune) are billed separately. TechBag pilots first, sets a monthly AI-credit cap, then quotes in INR with GST.

On demand

Best for a first pilot with one team

  • AI credits by the token, billed monthly in arrears
  • $2.00 Global or $2.20 Regional per AI credit
  • Warehouse credits billed on their own meter

+ Platform add-ons

Best for a broader rollout

  • Scoped to your estate
  • Add-on modules as needed
  • Phased, right-sized deployment

Capacity

Best once usage is known

  • Prepaid Snowflake capacity, quoted by Snowflake
  • Ask whether AI credits draw on the same commitment
  • TechBag quotes in INR with GST

Buy it for less — TechBag pricing beats list

Whatever the list prices above, TechBag negotiates a significantly better deal — with GST-compliant INR invoicing and local support. Ask us for your discounted quote.

Get a discounted quote →

Get an India-ready quote

Tell us your requirements and current tools — we’ll model it against what you spend today.

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Evaluation kit

The 8 questions to ask every vendor

Take this into your next vendor call — including ours.

1
Account

Is the data already in a Snowflake account, and is that account in AWS Mumbai or Azure Central India (Pune)?

2
Questions

Which five questions should a pilot answer, and who checks the agent’s answers against a known result?

3
Metadata

Are tables and columns described clearly enough for a business user’s wording to land on the right field?

4
Permissions

Do existing roles and row policies already stop people seeing what they should not, before CoWork reaches them?

5
AI credits

Which models will answer, Global or Regional AI credits, and what monthly cap stops one team running away with it?

6
Connectors

Which MCP connectors — Google Drive, Salesforce, Slack — are allowed, and who approves adding another one?

7
Sign-in

Before October 2026, which service accounts still sign in by password alone, and who will re-key them?

8
Quote

Does the quote separate warehouse credits from AI credits? Ask for INR with GST and a capacity-versus-on-demand view.

FAQ

Questions buyers ask

CoWork is Snowflake’s work agent for business users. Someone types a question in plain language and the agent answers from governed data held in the organisation’s Snowflake account, using Cortex features underneath. Snowflake lists it as a top-level product beside CoCo and Observe.

Ready to evaluate Snowflake CoWork?

Model how many people will ask questions and how often, or let a TechBag advisor scope a pilot that gives one business team CoWork on data you already hold in Snowflake.

Stats, ratings, review counts and pricing are illustrative and sourced from public materials; verify before purchase.