Most CMOs can feel this gap before they can name it. Campaigns that guess rather than react to real-time signals. Offers built on a segment someone configured last quarter, not what’s happening now. AI initiatives that become limited by a lack of data accessibility.

"We have Databricks" should mean something to the marketing team, not just the data team. That's exactly what this partnership is built to ensure.

But the reality is that most brands aren't there yet. The architecture connecting enterprise data infrastructure to marketing performance was never designed for this moment… until now.

The martech stack wasn't built for what's coming — and the window to fix it is closing

For the better part of two decades, the default answer to every marketing challenge was: add a tool. A CDP for unification. Middleware to move data around. A separate decisioning layer. A personalization engine bolted on the side. A campaign platform that talks, sometimes, to the warehouse.

The result is a marketing stack that's expensive, fragile, and increasingly in the way. And AI is about to make it harder.

Competitors building from scratch with AI at the center are designing their marketing operations differently — running campaigns, personalization, and QA through agents that work directly on clean, unified data. Brands still relying on disconnected tool stacks are going to fall behind. Not a little behind. The kind of behind that takes years to reverse.

The brands winning right now aren't waiting for this to be fully figured out. They're making architectural decisions today that let them move faster as AI tools get better. The ones still exporting CSVs, waiting three days for data to land in a campaign platform, and routing every request through a central data team are already losing ground.

This is the gap this partnership is designed to close, and why closing it now matters.

The gap between data and marketing

Databricks has become the data platform of choice for some of the most sophisticated marketing organizations in the world. 60% of the Fortune 500 across retail, CPG, QSR, media, and healthcare are running customer data through it, building AI agents, running ML models, powering real-time segmentation.

But a persistent problem has remained. Data engineering teams build powerful infrastructure in Databricks — clean, governed, scalable — and marketing teams are left on the outside of it, still pulling levers in tools that don't connect to what was just built. The two functions want the same outcomes. They just don't share a language for getting there.

The platform is still doing its job, but the gap is that the people who built it and the people who need to use it have never had a shared language for working together.

Stitch as the marketing implementation layer

The missing piece in most Databricks implementations isn't technical capability. It's marketing fluency — understanding what a VP of CRM is actually accountable for, how modern campaign platforms work, and what "putting data to work in campaigns" really means when retention revenue is on the line.

Stitch was built specifically for that intersection. Founded by two operators with deep experience building and running enterprise marketing technology at scale, Stitch has spent years inside the marketing organizations that Databricks customers are trying to serve. They understand the metrics marketers are held to, the platforms they rely on, like Braze, and the specific ways marketing and data teams tend to talk past each other.

That combination — technical depth in Databricks and genuine expertise in how modern marketing organizations operate — is rare. It's what makes Stitch a different kind of partner. Stitch was purpose-built for this intersection: deep enough in Databricks to earn the trust of a data engineering team, and experienced enough in how marketing organizations actually run to know what "great" looks like on the other side. 

What this partnership provides is specific: a team that understands what Databricks can do and what it takes to turn that into marketing performance, and has built the connective layer between the two.

In practice, that expertise shows up across five areas:

• Marketing data architecture built for campaigns, not just reporting. Stitch structures data in Databricks so it's ready to power real-time segmentation, personalization, and AI-driven decisioning from day one. A fast-growing convenience store brand is already using this to connect real-time transaction data directly to customer marketing. A national medical testing company used it to bridge its marketing and data engineering functions — and started seeing measurable campaign results within weeks.
• Full-stack marketing applications built on Databricks. Stitch builds the operating systems that let distributed teams — franchisees, regional operators, wholesale partners — run campaigns without routing every request through a central team. Front-end, logic, and campaign execution on a single platform with a single set of rules. No stitching together four separate tools. No data leaving the environment.
• Self-service analytics so marketing doesn't need a data ticket. One of the most consistent patterns across enterprise brands: data teams build impressive infrastructure that marketing teams can't touch. Stitch implements use-case-focused solutions with Genie that give non-technical marketing and analytics users the ability to query, explore, and act on data themselves — on their own timeline.
• AI agents for marketing operations built natively on Databricks. From campaign orchestration to personalized recommendations to automated quality assurance, Stitch builds AI-powered marketing solutions directly on the Databricks platform stack — no bolt-on tools, no additional vendors. A global QSR is already rebuilding its campaign workflows on top of Databricks.
• Migrations off legacy platforms that can't keep up. For brands still running on rigid legacy marketing platforms, Stitch has developed tooling to accelerate the move to a modern, modular stack with Databricks as the data foundation, built to flex as AI tools get better and needs change.

The conversation worth having now

Databricks is the data platform that enterprise marketing organizations are already betting on. Stitch is the partner that understands both what Databricks can do for marketers and what marketing teams need to actually succeed.

That's what this partnership provides: a team that speaks both languages and has built the operating system that connects them.

If your organization is sitting on Databricks infrastructure that marketing hasn't fully put to work, or if you're rethinking what your marketing architecture should look like when AI is at the center of it, this is the right moment to have that conversation.

Organizations ready to close the gap can connect with Stitch to explore what's possible. Get in touch →