Neo4j Named “One to Watch” in Snowflake’s 2026 Modern Marketing Data Stack Report

We’re excited to share that Neo4j has been recognized by Snowflake as a “One to Watch” in the AI/ML Development and Deployment category of The Modern Marketing Data Stack 2026: Governing the Agentic Enterprise report.

Announced at Cannes Lions 2026, the fifth edition of Snowflake’s report highlights an industry-wide evolution: marketing organizations are moving away from fragmented tooling and adopting agentic, AI-driven architectures built directly on top of securely governed data.

Among more than 11,500 Snowflake customers evaluated across the ecosystem, Neo4j was highlighted for helping joint users tackle complex, high-value challenges such as advanced graph-driven identity resolution and predictive customer analytics.

Bringing Connected Context to the AI Data Cloud

As marketing teams increasingly pivot toward autonomous decisioning, the success of their AI models relies entirely on context. Large language models (LLMs) and autonomous agents need to understand the rich, interconnected relationships hidden within enterprise data to deliver accurate business outcomes.

By integrating Neo4j’s native graph database and analytics with the Snowflake AI Data Cloud, joint customers can seamlessly map multi-touch journeys, link fragmented identity data, and scale complex machine learning workloads—all without the risk or operational overhead of moving sensitive data out of their secure Snowflake environment.

“Neo4j’s selection as ‘One to Watch’ highlights our momentum in bringing deeply connected graph data insights directly into the AI Data Cloud to accelerate agentic marketing. By integrating our graph capabilities with Snowflake, we enable marketing teams to effortlessly uncover hidden customer relationships and predictive patterns, such as lookalike behaviors and churn risks.”

Kapil Hetamsaria, Chief Business Officer, Strategic Partnerships & Alliances at Neo4j

Zero-Copy Graph Intelligence With the Cortex AI Ready Agent

To help teams operationalize these insights faster, we recently launched our Agent for Cortex/Snowflake Intelligence, now available as Cortex AI Ready in the Snowflake Marketplace.

The integration delivers a zero-copy architecture that bridges tabular data and graph intelligence. Marketing analysts can use natural language inside Snowflake Intelligence to run advanced graph algorithms directly against their existing tables.

For example, instead of writing complex multi-join SQL queries to assess customer retention, an analyst can simply ask the system: “Find me customers who are likely to churn because they are similar to customers who have churned.” The agent dynamically maps the underlying Snowflake tables and leverages Neo4j’s lookalike and community detection algorithms to return instant, contextually accurate answers.

As Snowflake’s Chief Marketing Officer, Denise Persson, noted: “As marketing teams pivot toward autonomous decision-making, grounding AI models in contextually rich, governed data is paramount. Neo4j’s new Cortex AI Ready agent brings distinct innovation to our ecosystem by allowing joint users to effortlessly map Snowflake tables to graph-based algorithms directly within Snowflake Intelligence.”

Empowering Marketers in an AI-First World

• Watch the technical deep dive: Tune into our LinkedIn Live session on Zero-Copy Advanced Graphs to see a live demonstration of how our new virtual graph for Snowflake surfaces hidden intelligence without data movement.
• Get started for free in the Marketplace: Visit the Snowflake Marketplace to start running graph algorithms directly on your data cloud.
• Read the full report: Download The Modern Marketing Data Stack 2026 to see how ecosystem partners are building the future of the agentic enterprise.