6.3 Snowflake Marketplace, Listings, and Data Exchange

SnowPro Core Study Guide Exam

Track your progress as you read

Finished sections get a check mark.

1 Chapter 1: SnowPro Core Orientation and Exam Strategy

1.1 Current SnowPro Core Exam Facts 1.2 Eligibility, Registration, and Scheduling 1.3 Blueprint Domains and Weighting 1.4 Editions, Question Style, and Score Report Thinking 1.5 Study Calendar and Hands-On Practice Plan

2 Chapter 2: Snowflake AI Data Cloud Features and Architecture

2.1 Snowflake AI Data Cloud Features and Architecture Overview 2.2 Core Workflows and Decision Points 2.3 Scenario Practice for Snowflake AI Data Cloud Features and Architecture 2.4 Common Traps in Snowflake AI Data Cloud Features and Architecture 2.5 Practice Drills and Readiness Markers

3 Chapter 3: Account Management and Data Governance

3.1 Account Management and Data Governance Overview 3.2 Core Workflows and Decision Points 3.3 Scenario Practice for Account Management and Data Governance 3.4 Common Traps in Account Management and Data Governance 3.5 Practice Drills and Readiness Markers

4 Chapter 4: Data Loading, Unloading, and Connectivity

4.1 Data Loading, Unloading, and Connectivity Overview 4.2 Core Workflows and Decision Points 4.3 Snowpipe, External Tables, and Storage Integrations 4.4 Bulk Unloading and Semi-Structured Data 4.5 Connectors, Drivers, and Snowsight Loading

5 Chapter 5: Performance Optimization, Querying, and Transformation

5.1 Performance Optimization, Querying, and Transformation Overview 5.2 Core Workflows and Decision Points 5.3 Micro-Partitions, Pruning, Clustering, and the Query Profile 5.4 Search Optimization, Materialized Views, and Query Best Practices 5.5 Transformations: ELT, Streams & Tasks, and Semi-Structured Data

6 Chapter 6: Data Collaboration

6.1 Secure Data Sharing Architecture 6.2 Creating Shares, Granting Objects, and Reader Accounts 6.3 Snowflake Marketplace, Listings, and Data Exchange 6.4 Secure Views, Cross-Region Sharing, and Governance 6.5 Choosing the Right Sharing Method and Readiness Drills

7 Chapter 7: Final Review and Test Day

7.1 Timed Practice Strategy 7.2 Last-Week Review Map 7.3 Exam-Day Checklist 7.4 After the Exam and Next Steps

6.3 Snowflake Marketplace, Listings, and Data Exchange

Key Takeaways Explain This Topic AI

Snowflake Marketplace is the public catalog where providers publish listings and consumers discover them across regions and clouds.

Listings come in three types: free (instant access), personalized (request a custom dataset), and paid (monetized with usage- or term-based pricing).

Data Exchange is a private, invite-only marketplace an organization runs for its own members, partners, or customers.

Listings auto-fulfill across regions and clouds via replication, which direct shares cannot do.

Last updated: June 2026

Snowflake Marketplace

The Snowflake Marketplace is the global, public catalog where providers publish listings of data, and any Snowflake consumer can discover and access them. Marketplace is built on Secure Data Sharing, so the same principles apply: getting a free listing creates a read-only, no-copy database in the consumer account, and the consumer queries it on its own warehouse.

Marketplace solves the discovery and cross-region problems that direct shares cannot. A direct share works only within one region and cloud and must be set up account-by-account. A listing is discoverable by anyone, can target many consumers, and auto-fulfills across regions and clouds by replicating the underlying data on the provider's behalf.

The three listing types

Listing type How the consumer gets data Typical use
Free Instant access on request; no payment Public/open datasets, lead generation
Personalized Consumer submits a request; provider fulfills a custom share Bespoke or account-specific data
Paid Consumer purchases via Snowflake billing Monetized commercial data products

A free listing grants access immediately once replicated to the consumer's region. A personalized listing lets a consumer request data tailored to them, which the provider then fulfills. A paid listing monetizes the data: Snowflake handles billing, and providers set usage-based or term-based pricing. Across all three, the provider continues to own and pay for the underlying storage.

Cross-Region and Cross-Cloud Fulfillment

The Marketplace's biggest advantage over direct shares is automatic cross-region / cross-cloud delivery. Because the underlying mechanism is still Secure Data Sharing — which is single-region — Snowflake bridges regions by replicating the data. For a free listing, the provider must replicate the data to each selected region (or enable auto-fulfillment , which replicates to a consumer's region after they request the listing). The provider assigns a warehouse and a replication interval for auto-fulfillment.

This is the practical rule to carry into the exam:

Same region and cloud, specific known consumer → use a direct share .

Different region/cloud, or public discovery, or monetization → use a Marketplace listing .

Provider responsibilities

To publish, a provider must complete profile and provider requirements, create a share or auto-fulfillment configuration, attach descriptive metadata (title, description, sample queries, usage examples), and submit the listing for Snowflake review. Rich metadata improves discoverability and is part of listing quality.

Data Exchange — the Private Marketplace

A Data Exchange is a private, invite-only version of the Marketplace that an organization stands up for a defined group — internal business units, partners, suppliers, or customers. It is administered by the organization (an exchange admin manages members and their roles as provider, consumer, or both), and listings are visible only to invited members rather than the entire Snowflake ecosystem.

Feature Marketplace Data Exchange
Audience Public — all Snowflake accounts Private — invited members only
Administered by Snowflake The organization
Listing visibility Global catalog Closed group
Monetization Yes (paid listings) Member-defined / internal
Built on Secure Data Sharing Secure Data Sharing

Use a Data Exchange when an enterprise wants the listing experience (discovery, metadata, request workflows) but must restrict who can see and request the data. Use the public Marketplace when the goal is broad discovery or commercial distribution. Both are listing-based and therefore both can fulfill across regions through replication — a capability a plain direct share lacks.

Direct Shares vs. Listings — the Core Comparison

The exam frequently forces a choice between a direct share and a listing . They share the same engine (Secure Data Sharing) but differ in reach and workflow:

Dimension Direct share Listing (Marketplace / Data Exchange)
Discovery None — you must know the consumer account Catalog with search, categories, metadata
Region/cloud reach Same region & cloud only Cross-region/cloud via auto-fulfillment
Number of consumers Added one account at a time Many consumers, including unknown ones
Monetization No Yes (paid listings)
Metadata / documentation Minimal Rich (title, description, sample SQL)
Setup overhead Lowest Higher (review, replication)

A direct share is the lightweight choice when you already know exactly who the consumer is and they sit in your region. The moment a scenario adds discovery , monetization , many or unknown consumers , or another region or cloud , the answer shifts to a listing . Free listings can be fulfilled to a consumer's region without manual approval once replication is in place, while paid and personalized listings add billing or custom-fulfillment steps.

Provider and consumer responsibilities in Marketplace

Providers are responsible for completing provider requirements, attaching a share or auto-fulfillment configuration, supplying high-quality metadata, and maintaining data freshness. Consumers browse the catalog, request or purchase a listing, and on access receive a read-only database in their account that they query with their own warehouse. Throughout, the no-copy, provider-pays-storage invariants of Secure Data Sharing still hold — a listing is a discovery and fulfillment wrapper on top of the same sharing mechanism, not a separate way of moving data.