Snowflake SKO is right around the corner, and we’re excited to be part of it this year. SKO is one of the few moments in the year where Snowflake’s AEs, SEs, and partners can step out of deal-execution mode and spend time on how things are sold.
If you’re attending, here’s a heads up on what you can expect from the GRAX + CapStorm team at SKO, where to find us (*hint* meet us at booth GC-19), and why Salesforce data keeps coming up in Snowflake conversations.
Why Salesforce Data Integration Matters for Snowflake Deployments
We don’t think of Snowflake SKO as a traditional “booth event.” For us, it’s a working session for Snowflake sellers and partners, and this offers us the chance to have face-to-face conversations that truly matter: Snowflake Salesforce Data Integration.
And some of the conversations we’ve been a part of involve Salesforce data, especially with the increased use of AI. Questions around data structure and reliability pop up, and they’re not always easy to resolve. Snowflake SKO gives us the opportunity to share tips and help teams think through how to best handle Salesforce-led deals.
In those discussions, Salesforce-native options often come up as a starting point. But as AI becomes more intertwined with Salesforce data, teams start to see where those native options fall short. Issues like performance, schema changes or data freshness pop up, and this is where the CapStorm Salesforce Connector tends to become a better long-term choice. By replicating Salesforce data and schema directly into Snowflake, a lot of the frictions teams face are removed. This gives customers a more flexible and reliable foundation as their Snowflake deployments evolve.
Common Salesforce-to-Snowflake Data Challenges We’re Solving
Most of our conversations at Snowflake SKO will start from a simple place: how to make Salesforce data easier to work with in Snowflake-led deals. This doesn’t just apply in theory, but in the middle of real opportunities. Here are some of the topics we’re excited to spend time on:
Salesforce Data Structure and Schema Management in Snowflake
One of the first challenges teams run into is how Salesforce data is structured once it’s in Snowflake. For example, fields change, and relationships begin to matter more over time. When that structure isn’t preserved, teams spend valuable time fixing downstream changes. We’ll be talking through how teams are keeping Salesforce data structured and usable in Snowflake, so data remains reliable.
Reducing Friction in Salesforce to Snowflake Connector Implementations
What looks pretty straightforward early in a deal can become complicated once data volumes grow. Ongoing maintenance can slow momentum and introduce risk at the worst possible times. A lot of our conversations focus on how teams are getting rid of that friction, so Salesforce integrations don’t become a blocker, especially if your team is under a tight deadline.
Building Reliable Salesforce Data Foundations for Snowflake AI and ML
As more Snowflake customers move toward AI and ML use cases, the reliability of Salesforce data becomes even more important. Models depend on a consistent structure as well as updated and trustworthy data. We’ve got insight into what teams are doing to build Salesforce foundations that support AI, without needing to be constantly reworked as data evolves.
These conversations are less about demos and more about sharing where teams are getting stuck and how Salesforce data can support Snowflake growth instead of holding it back.
Native Salesforce Snowflake Connectors or GRAX + CapStorm Connector: What’s Different?
Native Salesforce-to-Snowflake connectors can be a helpful starting point, especially for getting initial data into Snowflake quickly. For some customers, that’s enough to support their reporting or analytics needs. But as Snowflake sellers and partners know, those early wins don’t always equal long-term momentum. As use cases expand, teams often need more control over how Salesforce data is used.
The CapStorm Salesforce Connector is designed for that next stage. The CapStorm:Snowflake Connector for Salesforce is designed for that next stage. Instead of treating Salesforce as a one-way upstream feed, it allows Snowflake teams to activate Salesforce data as a durable, bi-directional asset. Data flows reliably into Snowflake for analytics and AI, while insights and enriched data can also move back into Salesforce to support operational workflows. This helps customers move faster from initial access to real usage, without rework or downstream friction.
For Snowflake sellers, this difference matters. When customers can activate more complete Salesforce datasets with less overhead, they can move into broader analytics and AI use cases. That leads to more sustained Snowflake consumption over time.
Meet the GRAX + CapStorm Team at Snowflake SKO Portland 2026
If you’re attending the Snowflake SKO conference, you can find some of the GRAX + CapStorm team on the show floor throughout the event. We’ll be located at Booth GC-19. We’re keeping things informal and conversation-first.
Schedule Your Salesforce Snowflake Integration Consultation at SKO
Want to talk through a specific Salesforce-to-Snowflake data pipeline challenge you’re seeing in the field? You can book a 15-minute consultation with our team ahead of SKO to get focused input on a real account, use case, or question. Here’s the link to sign up:
Once you complete the meeting, you’ll receive a $25 gift as a thank you for your time. These meetups are meant to be a focused conversation on what trends and opportunities to win we’re seeing. You’ll gain quick input on a real use case without having to carve out a lot of time.
How GRAX + CapStorm Accelerates Snowflake Consumption with Salesforce Data
For Snowflake AEs and SEs, Salesforce accounts are often the most natural expansion opportunities, as long as the data can actually be used inside Snowflake. GRAX + CapStorm help turn Salesforce data into an asset that supports ongoing usage and AI-driven workloads.
By making Salesforce data reliable and continuously available in Snowflake, sellers can position broader, consumption-driven outcomes. This reduces friction for customers and creates a stronger foundation for ongoing Snowflake growth.
For Snowflake sellers, this means:
- Faster time-to-value with Salesforce data that’s ready to use
- Increased consumption as more complete Salesforce datasets are activated
- Fewer late-stage technical blockers in Salesforce-heavy deals
The result is a simpler positioning for sellers and more value for customers, with Salesforce data working as part of the Snowflake ecosystem, not around it.
Exploring Data Integration Solutions at Snowflake SKO 2026
One of the best things about Snowflake SKO is bringing all the partners together in one room. This gives everyone the opportunity to see what’s out there and how their data integration pain points can be addressed. So while you’re at the conference, it’s worth your time to check out a few others as well, including:
- Merkle — around data-driven customer experience
- SDG Group — if you see a need for advanced analytics and business intelligence.
Coming together at this conference means teams can see what’s going on in the field and discuss any voids we all might be seeing.
Once again, if you’re headed to Snowflake SKO we’d love to connect. Feel free to stop by booth GC-19 or book a meetup ahead of time. It’s all about getting the chance to learn from each other and leaving Portland with clearer ways to move deals forward.
Safe travels, and we’ll see you there!
Salesforce Snowflake Connector FAQs: CapStorm + GRAX at SKO
When and where is Snowflake SKO FY27?
This year’s Snowflake SKO is February 10-12, at the Oregon Convention Center in Portland, Oregon.
Which Snowflake roles benefit from our Salesforce integration solutions?
Snowflake AEs, SEs, and partners working on Salesforce-heavy accounts. If Salesforce data is part of your deal, a quick conversation can help clarify options, remove friction, and uncover new ways to drive expansion and consumption.
Where is the GRAX + CapStorm booth going to be located at Snowflake SKO?
Our booth number is GC-19.
What can I expect from a 15-minute meeting with the GRAX + CapStorm team?
You’ll be part of a focused and practical discussion centered around use cases or questions you have in the field. Plus, once the meeting is done, you’ll receive a $25 gift as a thank you for your time. Secure your spot now.
Can I book a meeting for after the conference is over?
Of course! The GRAX + CapStorm team understands that your time is valuable, so if a date and time outside of the conference works better for you we’d love to chat virtually or in-person when possible. Book a post-SKO call today.
How does GRAX + CapStorm Connector compare to Snowflake’s native Salesforce connector?
Native connectors can handle basic needs, but the CapStorm Salesforce Connector is built for scale, preserving Salesforce schema and relationships, keeping data continuously updated, and supporting broader analytics and AI use cases that drive long-term Snowflake consumption.
What Salesforce data can GRAX + CapStorm pipe into Snowflake?
Standard and custom Salesforce objects, fields, relationships, and metadata, giving teams a complete, structured view of Salesforce data inside Snowflake.