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Live WEBINAR

Introducing Graphwise Sandbox

Explore the Power of GraphDB in Minutes

September 3, 2025

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San Francisco | 8:00 a.m. – 9:00 a.m. PST
New York | 11:00 a.m. – 12:00 p.m. EST
Vienna | 5:00 p.m. – 6:00 p.m. CET

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Unlock the Power of Connected Data in Minutes 

Are you curious about the power of GraphDB and knowledge graphs, but unsure where to start? Graphwise Sandbox, our newly launched self-service environment, provides you with immediate, hands-on access to GraphDB, complete with curated datasets and interactive guidance—no setup required!

In this webinar, you’ll learn about the capabilities included in Graphwise Sandbox, from the ease of launching isolated demo environments to exploring data through natural language queries. We’ll showcase the initial set of demo projects, including Ontotext’s Knowledge Graph, European Railway Navigator, Ontology Navigator with FIBO, Star Wars Universe Explorer, and the Semantic Movies Recommender. Discover how these real-world datasets and guided interactions allow users—from data enthusiasts to enterprise architects—to experience semantic technology in action.

We’ll cover key features such as tenant-level data isolation, external tool connectivity, and flexible sandbox lifespans, along with clear insights into resource limitations, including data volume constraints, query concurrency, and token usage. Lastly, we’ll offer a glimpse into future enhancements, revealing our plans to expand the Sandbox to additional Graphwise products and datasets.

Join us and learn how you can instantly start exploring the value of GraphDB and semantic technologies through Graphwise Sandbox.

Key takeaways from this webinar include:

How to quickly register and launch Graphwise Sandbox.

The available demo projects and how they illustrate real-world graph use cases.

Technical capabilities and limitations of the Sandbox.

Best practices for maximizing your sandbox experience.

What’s coming next from Graphwise!

Ready to explore GraphDB instantly? Join this webinar and unlock the full potential of your data.

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