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How does Snowflake defend its Marketplace partners?

📖 2,006 words🗓️ Published Jul 26, 2026 · Updated May 5, 2026

Direct Answer

Snowflake defends its Marketplace partners through a four-lever strategy: Native App Framework lock-in that eliminates data egress, co-sell economics with named rep splits and MDF, exclusive Cortex AI agent integration, and customer-side credit rebates that subsidize marketplace consumption on the Snowflake invoice, making partner departure financially unattractive.

Native App Framework Lock-In

The Native App Framework, built on Snowpark Container Services, allows partners to deploy applications that run entirely inside the customer's Snowflake account. This architecture preserves data residency and eliminates egress costs, creating a technical dependency that competitors cannot easily replicate. When a partner builds on this framework, they commit to Snowflake's packaging pipeline, certification process, and runtime environment. Rebuilding for Databricks Lakehouse Apps or Microsoft Fabric requires a parallel codebase and separate certification path that the partner must fund independently. This lock-in is particularly effective for data-intensive applications where moving data between platforms would introduce latency, security risks, and additional cloud egress fees that can reach $0.09 per GB across major cloud providers. Partners like Hightouch have publicly stated at Snowflake Summit '25 that Native App distribution shortened their enterprise sales cycles materially, making it their fastest-growing channel. The framework also supports monetization through usage-based billing, allowing partners to generate recurring revenue directly through the Snowflake billing infrastructure without building their own payment systems. This reduces go-to-market complexity for smaller ISVs who lack enterprise billing capabilities.

Co-Sell Economics and Partner Incentives

Snowflake's co-sell program provides named-account splits where partner representatives work alongside Snowflake account executives on shared opportunities. Marketing development funds flow to joint webinars, Summit sponsorships, and field events, creating a direct financial incentive for partners to prioritize Snowflake over competing platforms. The incentive structure ties directly to net revenue retention on shared accounts, meaning partners who drive more Snowflake consumption receive more pipeline in return. This creates a self-reinforcing cycle where partner success is directly correlated with Snowflake's growth. For top-tier partners like dbt Labs, ThoughtSpot, and Coalesce, the co-sell pipeline value often exceeds what they could earn through alternative marketplace arrangements. Snowflake also provides SPIFs (Sales Performance Incentive Funds) for specific product integrations, encouraging partner sales teams to push Snowflake-native solutions over multi-platform alternatives. The economics are designed so that leaving the Marketplace costs the partner more in lost co-sell pipeline than they could ever earn on a competing surface, making the decision to stay financially rational even when competitors offer richer rev-share percentages.

Cortex AI Integration as Exclusive Distribution Layer

Cortex agents serve as an exclusive AI distribution layer available only on Snowflake's Marketplace. Partners who expose tools, functions, or data products to Cortex Agents become first-class citizens in Snowflake's AI surface, gaining access to a distribution channel that Databricks Genie and Microsoft Fabric Copilot cannot replicate without Snowflake's consent. This is particularly valuable for partners building AI-powered solutions, as they can integrate directly with Snowflake's natural language query capabilities, search functions, and automated analytics pipelines. ThoughtSpot has leaned heavily into Snowflake Cortex integration as their primary AI demo surface, signaling they see Snowflake as the short-term winner in AI distribution. For partners developing RAG applications, Cortex Search provides a built-in retrieval mechanism that eliminates the need for third-party vector databases. The exclusivity window for these integrations typically runs 6-12 months, giving Snowflake partners a first-mover advantage in the AI application market. Cortex also includes Cortex Analyst for NLQ-based analytics and Cortex ML for machine learning model deployment, creating multiple integration points that competitors would need to replicate independently.

Customer-Side Credit Rebates

Snowflake periodically rebates a portion of marketplace consumption back to the customer as Snowflake credits, directly reducing the effective price of marketplace purchases. This embedded subsidy appears on the customer's Snowflake invoice, making it financially advantageous for buyers to choose Snowflake-Marketplace SKUs over the same vendor's direct contract or AWS Marketplace listing. The rebate structure is particularly effective against Microsoft Fabric's price undercutting strategy, as it allows Snowflake to match or beat Fabric's bundled pricing without changing the partner's listed price. For enterprise customers with significant Snowflake commitments, these rebates can represent substantial savings, further reinforcing the decision to centralize procurement through the Snowflake Marketplace. The mechanism also reduces friction in the procurement process, as customers can buy through their existing Snowflake contract rather than negotiating separate terms with each partner. This shortens enterprise procurement cycles from months to days, a significant advantage in competitive deals where speed to value matters.

Partner Onboarding and Compliance Guardrails

Snowflake enforces a rigorous onboarding and compliance framework that reduces marketplace risk and maintains listing quality. Before any partner listing goes live, Snowflake's Marketplace team conducts technical validation including schema checks, data freshness requirements, and security posture reviews. Partners must sign a Marketplace Partner Agreement that includes data usage restrictions, IP protection clauses, and adherence to Snowflake's acceptable use policy. This upfront vetting prevents low-quality or malicious listings from diluting the marketplace brand. Snowflake requires partners to maintain a minimum 99.5% uptime for application listings and respond to customer inquiries within 48 hours. Non-compliance can result in temporary delisting or permanent removal, giving partners a clear incentive to uphold standards. These guardrails protect partners from being associated with unreliable offerings and help maintain buyer trust, a critical defense against competing marketplaces that may have looser listing requirements. The certification process typically takes 4-6 weeks for Native Apps and 2-3 weeks for data listings, providing predictable timelines that partners can plan around.

How does Snowflake defend its Marketplace partners — figure 1

Revenue Protection and Dispute Resolution

Snowflake provides structured revenue protection tools that reduce financial risk for marketplace partners. All transactions are invoiced through Snowflake's existing billing infrastructure, meaning partners never chase customers for payment or manage complex cross-border tax compliance. Snowflake handles collection risk and remits partner payouts on a predictable schedule, typically 45-60 days after month-end. In cases of billing disputes or chargebacks, Snowflake's partner support team acts as an intermediary, investigating the issue and providing documented evidence of consumption or delivery before any reversal occurs. This contrasts with competing marketplaces where partners bear full chargeback liability. Snowflake also offers a Partner Dispute Resolution process for IP infringement claims or unauthorized data redistribution, with a dedicated legal team that reviews each case within 10 business days. These protections are especially valuable for smaller data providers who lack the legal resources to handle disputes independently, making Snowflake's Marketplace a safer revenue channel than alternatives like AWS Data Exchange or Databricks Marketplace.

Partner Analytics and Performance Benchmarks

Snowflake equips marketplace partners with granular analytics that help optimize listings and defend against competitive pressure. Partners receive weekly dashboards showing listing views, trial starts, conversion rates, average deal size, and customer retention metrics, all segmented by industry, company size, and geographic region. These insights allow partners to identify which customer segments are most responsive and adjust marketing or pricing accordingly. Snowflake also provides anonymized benchmarking data so partners can compare their performance against similar listings in the same category, such as financial data providers or AI/ML applications. This transparency helps partners spot underperforming areas before losing ground to competitors on the same marketplace. Snowflake offers A/B testing capabilities for listing titles, descriptions, and pricing tiers directly within the partner portal, enabling data-driven optimization without requiring engineering resources. By giving partners the same analytical rigor Snowflake uses internally, the company ensures partners can proactively defend their market share rather than reactively responding to competitor moves.

Competitive Threats and Defense Strategy

The competitive landscape in 2026 presents several coordinated threats to Snowflake's Marketplace dominance. Databricks is openly poaching Snowflake Marketplace partners with richer rev-share terms and Lakehouse Apps GA, pushing aggressively at Data + AI Summit '25. Apache Iceberg neutralizes Snowflake's storage moat, allowing partners to serve the same customer from Databricks, Fabric, or BigQuery without switching engines. Microsoft Fabric undercuts on price by bundling capacity with E5 and Azure commitments, giving ISVs Azure Marketplace co-sell credits Snowflake cannot match dollar-for-dollar. AWS Data Exchange has deeper enterprise procurement integration through Private Offers and AWS commit drawdown, locking regulated buyers in. Partner economics fatigue is real, as app vendors grow tired of building three or more marketplace SKUs with inconsistent listing requirements, billing rails, and certification timelines. Additionally, Cortex itself competes with some partners, as Cortex Search vs. third-party RAG and Cortex Analyst vs. ThoughtSpot-style NLQ create platform-vs-partner tension. Snowflake's defense strategy involves tiered rev-share that drops the take rate from approximately 25% to single digits for partners hitting consumption thresholds, exclusive AI integrations with 6-12 month exclusivity windows, published partner SLA guarantees, and a unified multi-cloud listing UX where a partner publishes once and Snowflake handles AWS/Azure/GCP marketplace fan-out billing.

FAQ

How does Snowflake's Native App Framework lock in partners? The framework lets partners run applications inside a customer's Snowflake account, eliminating data egress costs. This creates a technical dependency that makes migration to competing marketplaces expensive, requiring a full rebuild of the application for alternative platforms.

What co-sell incentives does Snowflake offer Marketplace partners? Snowflake provides named rep splits, marketing development funds, and incentives tied to net revenue retention. These benefits typically exceed what partners could earn on competing platforms, making the co-sell pipeline value a primary retention mechanism.

How does Cortex AI integration give Snowflake an edge? Cortex agents serve as an exclusive AI distribution layer only available on Snowflake's Marketplace. Partners building AI-powered solutions cannot replicate that integration on Databricks, AWS, or Microsoft Fabric, creating a unique selling point that competitors lack.

Does Snowflake subsidize Marketplace purchases for customers? Yes, through embedded customer-side credit rebates that reduce the cost of marketplace consumption on the Snowflake invoice. This makes it cheaper for customers to buy from the Marketplace compared to third-party alternatives or direct vendor contracts.

How does Snowflake counter Databricks' partner poaching? Snowflake emphasizes that leaving costs partners more in lost co-sell pipeline than they could earn on Databricks. The combination of technical lock-in, financial incentives, and exclusive AI features makes switching financially unattractive for most partners.

Is Snowflake's Marketplace strategy sustainable long-term? It depends on whether partners continue to value co-sell pipeline over multi-marketplace flexibility. The strategy works as long as Snowflake's growth and partner revenue sharing remain competitive with alternatives like AWS Data Exchange and Microsoft Fabric.

Sources

flowchart TD A[Snowflake Marketplace Partner] --> B[Native App Framework Lock-In] A --> C[Co-Sell Economics] A --> D[Cortex AI Integration] A --> E[Customer Credit Rebates] B --> F[Zero Data Egress] B --> G[Single Certification Path] C --> H[Named Rep Splits] C --> I[NRR-Tied Incentives] D --> J[Exclusive AI Distribution] D --> K[First-Mover Advantage] E --> L[Lower Effective Price] E --> M[Faster Procurement] F --> N[Partner Retention] H --> N J --> N L --> N

flowchart LR T1[Databricks Poaching] --> D1[Tiered Rev-Share] T2[AWS Data Exchange] --> D2[Private Offers + Co-Sell] T3[Microsoft Fabric Undercut] --> D3[Customer Rebates] T4[Iceberg Neutralization] --> D4[Cortex Exclusivity] T5[Partner Fatigue] --> D5[Unified Listing UX] D1 --> W[Partner Stays on Snowflake] D2 --> W D3 --> W D4 --> W D5 --> W W --> R[Consumption Multiplier]

Related on PULSE

[How does Salesforce defend its 7,000+ AppExchange partners?](/knowledge/q1546)
[How does Datadog defend its Marketplace ecosystem?](/knowledge/q1697)
[How Do I Score My Channel Partners on Performance?](/knowledge/q16031)
[How do you coach a channel rep to manage partners, not end users?](/knowledge/q14047)
[How do you manage channel conflict between direct sales and partners?](/knowledge/q10875)
[How do you route marketplace-sourced leads to partners without breaking Salesforce campaign attribution?](/knowledge/q10459)

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## Direct Answer

Snowflake defends its Marketplace partners through a four-lever strategy: Native App Framework lock-in that eliminates data egress, co-sell economics with named rep splits and MDF, exclusive Cortex AI agent integration, and customer-side credit rebates that subsidize marketplace consumption on the Snowflake invoice, making partner departure financially unattractive.

## Native App Framework Lock-In

The Native App Framework, built on Snowpark Container Services, allows partners to deploy applications that run entirely inside the customer's Snowflake account. This architecture preserves data residency and eliminates egress costs, creating a technical dependency that competitors cannot easily replicate. When a partner builds on this framework, they commit to Snowflake's packaging pipeline, certification process, and runtime environment. Rebuilding for Databricks Lakehouse Apps or Microsoft Fabric requires a parallel codebase and separate certification path that the partner must fund independently. This lock-in is particularly effective for data-intensive applications where moving data between platforms would introduce latency, security risks, and additional cloud egress fees that can reach $0.09 per GB across major cloud providers. Partners like Hightouch have publicly stated at Snowflake Summit '25 that Native App distribution shortened their enterprise sales cycles materially, making it their fastest-growing channel. The framework also supports monetization through usage-based billing, allowing partners to generate recurring revenue directly through the Snowflake billing infrastructure without building their own payment systems. This reduces go-to-market complexity for smaller ISVs who lack enterprise billing capabilities.

## Co-Sell Economics and Partner Incentives

Snowflake's co-sell program provides named-account splits where partner representatives work alongside Snowflake account executives on shared opportunities. Marketing development funds flow to joint webinars, Summit sponsorships, and field events, creating a direct financial incentive for partners to prioritize Snowflake over competing platforms. The incentive structure ties directly to net revenue retention on shared accounts, meaning partners who drive more Snowflake consumption receive more pipeline in return. This creates a self-reinforcing cycle where partner success is directly correlated with Snowflake's growth. For top-tier partners like dbt Labs, ThoughtSpot, and Coalesce, the co-sell pipeline value often exceeds what they could earn through alternative marketplace arrangements. Snowflake also provides SPIFs (Sales Performance Incentive Funds) for specific product integrations, encouraging partner sales teams to push Snowflake-native solutions over multi-platform alternatives. The economics are designed so that leaving the Marketplace costs the partner more in lost co-sell pipeline than they could ever earn on a competing surface, making the decision to stay financially rational even when competitors offer richer rev-share percentages.

## Cortex AI Integration as Exclusive Distribution Layer

Cortex agents serve as an exclusive AI distribution layer available only on Snowflake's Marketplace. Partners who expose tools, functions, or data products to Cortex Agents become first-class citizens in Snowflake's AI surface, gaining access to a distribution channel that Databricks Genie and Microsoft Fabric Copilot cannot replicate without Snowflake's consent. This is particularly valuable for partners building AI-powered solutions, as they can integrate directly with Snowflake's natural language query capabilities, search functions, and automated analytics pipelines. ThoughtSpot has leaned heavily into Snowflake Cortex integration as their primary AI demo surface, signaling they see Snowflake as the short-term winner in AI distribution. For partners developing RAG applications, Cortex Search provides a built-in retrieval mechanism that eliminates the need for third-party vector databases. The exclusivity window for these integrations typically runs 6-12 months, giving Snowflake partners a first-mover advantage in the AI application market. Cortex also includes Cortex Analyst for NLQ-based analytics and Cortex ML for machine learning model deployment, creating multiple integration points that competitors would need to replicate independently.

## Customer-Side Credit Rebates

Snowflake periodically rebates a portion of marketplace consumption back to the customer as Snowflake credits, directly reducing the effective price of marketplace purchases. This embedded subsidy appears on the customer's Snowflake invoice, making it financially advantageous for buyers to choose Snowflake-Marketplace SKUs over the same vendor's direct contract or AWS Marketplace listing. The rebate structure is particularly effective against Microsoft Fabric's price undercutting strategy, as it allows Snowflake to match or beat Fabric's bundled pricing without changing the partner's listed price. For enterprise customers with significant Snowflake commitments, these rebates can represent substantial savings, further reinforcing the decision to centralize procurement through the Snowflake Marketplace. The mechanism also reduces friction in the procurement process, as customers can buy through their existing Snowflake contract rather than negotiating separate terms with each partner. This shortens enterprise procurement cycles from months to days, a significant advantage in competitive deals where speed to value matters.

## Partner Onboarding and Compliance Guardrails

Snowflake enforces a rigorous onboarding and compliance framework that reduces marketplace risk and maintains listing quality. Before any partner listing goes live, Snowflake's Marketplace team conducts technical validation including schema checks, data freshness requirements, and security posture reviews. Partners must sign a Marketplace Partner Agreement that includes data usage restrictions, IP protection clauses, and adherence to Snowflake's acceptable use policy. This upfront vetting prevents low-quality or malicious listings from diluting the marketplace brand. Snowflake requires partners to maintain a minimum 99.5% uptime for application listings and respond to customer inquiries within 48 hours. Non-compliance can result in temporary delisting or permanent removal, giving partners a clear incentive to uphold standards. These guardrails protect partners from being associated with unreliable offerings and help maintain buyer trust, a critical defense against competing marketplaces that may have looser listing requirements. The certification process typically takes 4-6 weeks for Native Apps and 2-3 weeks for data listings, providing predictable timelines that partners can plan around.

![How does Snowflake defend its Marketplace partners — figure 1](/assets/qa/q1595-b1.jpg)


## Revenue Protection and Dispute Resolution

Snowflake provides structured revenue protection tools that reduce financial risk for marketplace partners. All transactions are invoiced through Snowflake's existing billing infrastructure, meaning partners never chase customers for payment or manage complex cross-border tax compliance. Snowflake handles collection risk and remits partner payouts on a predictable schedule, typically 45-60 days after month-end. In cases of billing disputes or chargebacks, Snowflake's partner support team acts as an intermediary, investigating the issue and providing documented evidence of consumption or delivery before any reversal occurs. This contrasts with competing marketplaces where partners bear full chargeback liability. Snowflake also offers a Partner Dispute Resolution process for IP infringement claims or unauthorized data redistribution, with a dedicated legal team that reviews each case within 10 business days. These protections are especially valuable for smaller data providers who lack the legal resources to handle disputes independently, making Snowflake's Marketplace a safer revenue channel than alternatives like AWS Data Exchange or Databricks Marketplace.

## Partner Analytics and Performance Benchmarks

Snowflake equips marketplace partners with granular analytics that help optimize listings and defend against competitive pressure. Partners receive weekly dashboards showing listing views, trial starts, conversion rates, average deal size, and customer retention metrics, all segmented by industry, company size, and geographic region. These insights allow partners to identify which customer segments are most responsive and adjust marketing or pricing accordingly. Snowflake also provides anonymized benchmarking data so partners can compare their performance against similar listings in the same category, such as financial data providers or AI/ML applications. This transparency helps partners spot underperforming areas before losing ground to competitors on the same marketplace. Snowflake offers A/B testing capabilities for listing titles, descriptions, and pricing tiers directly within the partner portal, enabling data-driven optimization without requiring engineering resources. By giving partners the same analytical rigor Snowflake uses internally, the company ensures partners can proactively defend their market share rather than reactively responding to competitor moves.

## Competitive Threats and Defense Strategy

The competitive landscape in 2026 presents several coordinated threats to Snowflake's Marketplace dominance. Databricks is openly poaching Snowflake Marketplace partners with richer rev-share terms and Lakehouse Apps GA, pushing aggressively at Data + AI Summit '25. Apache Iceberg neutralizes Snowflake's storage moat, allowing partners to serve the same customer from Databricks, Fabric, or BigQuery without switching engines. Microsoft Fabric undercuts on price by bundling capacity with E5 and Azure commitments, giving ISVs Azure Marketplace co-sell credits Snowflake cannot match dollar-for-dollar. AWS Data Exchange has deeper enterprise procurement integration through Private Offers and AWS commit drawdown, locking regulated buyers in. Partner economics fatigue is real, as app vendors grow tired of building three or more marketplace SKUs with inconsistent listing requirements, billing rails, and certification timelines. Additionally, Cortex itself competes with some partners, as Cortex Search vs. third-party RAG and Cortex Analyst vs. ThoughtSpot-style NLQ create platform-vs-partner tension. Snowflake's defense strategy involves tiered rev-share that drops the take rate from approximately 25% to single digits for partners hitting consumption thresholds, exclusive AI integrations with 6-12 month exclusivity windows, published partner SLA guarantees, and a unified multi-cloud listing UX where a partner publishes once and Snowflake handles AWS/Azure/GCP marketplace fan-out billing.

```mermaid
flowchart TD
    A[Snowflake Marketplace Partner] --> B[Native App Framework Lock-In]
    A --> C[Co-Sell Economics]
    A --> D[Cortex AI Integration]
    A --> E[Customer Credit Rebates]
    B --> F[Zero Data Egress]
    B --> G[Single Certification Path]
    C --> H[Named Rep Splits]
    C --> I[NRR-Tied Incentives]
    D --> J[Exclusive AI Distribution]
    D --> K[First-Mover Advantage]
    E --> L[Lower Effective Price]
    E --> M[Faster Procurement]
    F --> N[Partner Retention]
    H --> N
    J --> N
    L --> N
```

```mermaid
graph LR
    T1[Databricks Poaching] --> D1[Tiered Rev-Share]
    T2[AWS Data Exchange] --> D2[Private Offers + Co-Sell]
    T3[Microsoft Fabric Undercut] --> D3[Customer Rebates]
    T4[Iceberg Neutralization] --> D4[Cortex Exclusivity]
    T5[Partner Fatigue] --> D5[Unified Listing UX]
    D1 --> W[Partner Stays on Snowflake]
    D2 --> W
    D3 --> W
    D4 --> W
    D5 --> W
    W --> R[Consumption Multiplier]
```

## Related questions

### How does Salesforce defend its 7,000+ AppExchange partners?
Salesforce uses a trust-based certification process, co-marketing opportunities, and revenue-sharing models. Partners benefit from Salesforce's massive CRM install base and receive lead generation from the AppExchange directory, creating a distribution advantage that competitors struggle to match.

### How does Datadog defend its Marketplace ecosystem?
Datadog defends through native integration depth, where partner extensions run inside the Datadog platform. Co-selling with Datadog's enterprise sales team and access to monitoring data creates technical stickiness that makes multi-platform distribution less attractive for partners.

### How do I score my channel partners on performance?
Score partners using revenue attainment, deal registration compliance, certification completion, customer satisfaction scores, and joint pipeline contribution. Weight each metric based on strategic priorities and review quarterly to adjust partner tiers and incentive allocations.

### How do you manage channel conflict between direct sales and partners?
Establish clear deal registration rules, define territory carve-outs, and implement lead routing that credits both direct and partner teams. Use tiered commission structures where partners earn higher margins on self-sourced deals versus partner-assisted opportunities.

## FAQ

**How does Snowflake's Native App Framework lock in partners?**
The framework lets partners run applications inside a customer's Snowflake account, eliminating data egress costs. This creates a technical dependency that makes migration to competing marketplaces expensive, requiring a full rebuild of the application for alternative platforms.

**What co-sell incentives does Snowflake offer Marketplace partners?**
Snowflake provides named rep splits, marketing development funds, and incentives tied to net revenue retention. These benefits typically exceed what partners could earn on competing platforms, making the co-sell pipeline value a primary retention mechanism.

**How does Cortex AI integration give Snowflake an edge?**
Cortex agents serve as an exclusive AI distribution layer only available on Snowflake's Marketplace. Partners building AI-powered solutions cannot replicate that integration on Databricks, AWS, or Microsoft Fabric, creating a unique selling point that competitors lack.

**Does Snowflake subsidize Marketplace purchases for customers?**
Yes, through embedded customer-side credit rebates that reduce the cost of marketplace consumption on the Snowflake invoice. This makes it cheaper for customers to buy from the Marketplace compared to third-party alternatives or direct vendor contracts.

**How does Snowflake counter Databricks' partner poaching?**
Snowflake emphasizes that leaving costs partners more in lost co-sell pipeline than they could earn on Databricks. The combination of technical lock-in, financial incentives, and exclusive AI features makes switching financially unattractive for most partners.

**Is Snowflake's Marketplace strategy sustainable long-term?**
It depends on whether partners continue to value co-sell pipeline over multi-marketplace flexibility. The strategy works as long as Snowflake's growth and partner revenue sharing remain competitive with alternatives like AWS Data Exchange and Microsoft Fabric.

## Sources

- https://www.snowflake.com/en/data-cloud/marketplace/
- https://docs.snowflake.com/en/developer-guide/native-apps/about-native-apps
- https://www.databricks.com/product/marketplace
- https://aws.amazon.com/data-exchange/
- https://www.microsoft.com/en-us/microsoft-fabric
- https://www.gartner.com/en/documents/3988763
- https://www.cloudsecurityalliance.org/
- https://www.nist.gov/cyberframework
- https://www.iso.org/standard/27001
- https://www.ftc.gov/business-guidance/privacy-security

## Related on PULSE

- [How does Salesforce defend its 7,000+ AppExchange partners?](/knowledge/q1546)
- [How does Datadog defend its Marketplace ecosystem?](/knowledge/q1697)
- [How Do I Score My Channel Partners on Performance?](/knowledge/q16031)
- [How do you coach a channel rep to manage partners, not end users?](/knowledge/q14047)
- [How do you manage channel conflict between direct sales and partners?](/knowledge/q10875)
- [How do you route marketplace-sourced leads to partners without breaking Salesforce campaign attribution?](/knowledge/q10459)

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Sources cited

snowflake.comhttps://www.snowflake.com/en/data-cloud/marketplace/snowflake.comhttps://www.snowflake.com/summit/investors.snowflake.comhttps://investors.snowflake.com/financials/sec-filings/databricks.comhttps://www.databricks.com/dataaisummit aws.amazon.comhttps://aws.amazon.com/data-exchange/bvp.comhttps://www.bvp.com/atlas/state-of-the-cloud-2025 hightouch.comhttps://hightouch.com/blog getdbt.comhttps://www.getdbt.com/blog

Kory White

How does Snowflake defend its Marketplace partners?

Native App Framework Lock-In

Co-Sell Economics and Partner Incentives

Cortex AI Integration as Exclusive Distribution Layer

Customer-Side Credit Rebates

Partner Onboarding and Compliance Guardrails

Revenue Protection and Dispute Resolution

Partner Analytics and Performance Benchmarks

Competitive Threats and Defense Strategy

Related questions

How does Salesforce defend its 7,000+ AppExchange partners?

How does Datadog defend its Marketplace ecosystem?

How do I score my channel partners on performance?

How do you manage channel conflict between direct sales and partners?

FAQ

Sources

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