Neo4j California

(SPCS) that Snowflake announced today.

GenAI enabled. Joint customers can create knowledge graphs and generate vectors that take advantage of structured, unstructured, and relationship data. These features are part of a complete GenAI stack within Snowflake that includes both vector search and Snowflake Arctic LLM models. The result organizes and represents the data in ways that make it easier to understand and retrieve insights in GenAI applications and make these insights more accurate, transparent, and explainable.

Fully serverless and flexible. Customers pay only for what they need. Users create ephemeral graph data science environments seamlessly from Snowflake SQL, enabling them to pay only for Snowflake resources utilized during the algorithms' runtime using Snowflake credits. These temporary environments are designed to match user tasks to specific needs for more efficient resource allocation and lower cost. Graph analysis results also integrate seamlessly within Snowflake, facilitating interaction with other data warehouse tables.

Supporting quotes

Greg Steck, VP Consumer Analytics, Texas Capital Bank

"At Texas Capital Bank, we're built to help businesses and their leaders succeed. We use Snowflake and Neo4j for critical customer 360 and fraud use cases where relationships matter. We are excited about the potential of this new partnership. The ability to use Neo4j graph data science capabilities within Snowflake will accelerate our data applications and further enhance our ability to bring our customers long-term success."

Jeff Hollan, Head of Applications and Developer Platform, Snowflake

"Integrating Neo4j's proven graph data science capabilities with the Snowflake AI Data Cloud marks a monumental opportunity for our joint customers to optimize their operations. Together, we're equipping organizations with the tools to extract deeper insights, drive innovation at an unprecedented pace, and set a new standard for intelligent decision-making."

Sudhir Hasbe, Chief Product Officer, Neo4j

"Neo4j's leading graph analytics combined with Snowflake's unmatched scalability and performance redefines how customers extract insights from connected data while meeting users in the SQL interfaces where they are today. Our native Snowflake integration empowers users to effortlessly harness the full potential of AI/ML, predictive analytics, and Generative AI for unparalleled insights and decision-making agility."

The new capabilities are available for preview and early access, with general availability later this year on Snowflake Marketplace. For more information, read our blog post or contact us for a preview of Neo4j on Snowflake AI Data Cloud.

To learn more about how organizations are building next gen-apps on Snowflake, click here.

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About Neo4j

Neo4j, the Graph Database & Analytics leader, helps organizations find hidden patterns and relationships across billions of data connections deeply, easily, and quickly. Customers leverage the structure of their connected data to reveal new ways of solving their most pressing business problems, from fraud detection, customer 360, knowledge graphs, supply chain, personalization, IoT, network management, and more – even as their data grows. Neo4j's full graph stack delivers powerful native graph storage with native vector search capability, data science, advanced analytics, and visualization, with enterprise-grade security controls, scalable architecture, and ACID compliance. Neo4j's dynamic open-source community brings together over 250,000 developers, data scientists, and architects across hundreds of Fortune 500 companies, government agencies, and NGOs. Visit neo4j.com.

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