

What we’re about
Welcome to the Graph Database Pune User Group, a group for anyone interested in exploring the intersection of graphs, artificial intelligence, machine learning, gen-ai big data, and analytics. Our group is powered by Neo4j, a leading graph database technology, and our goal is to democratize graphs by discussing and exploring technologies that empower fraud prevention, personalized recommendation, supply-chain optimization, and other analysis capabilities found in today's most critical enterprise applications.
Want to lead this group or want to start a user group in your city? Fill this form and we will get back to you at the earliest.
Whether you are a developer, data scientist, or just curious about the world of graph databases and graph data science, our group is the perfect place for you. We welcome anyone who is passionate about these topics and wants to connect with others in the community. Our events are a great opportunity to network with other professionals, learn from experts, and explore the potential of graph technology industry. To speak at future meetups, fill this form. To co-promote your meetup or inquire about sponsorship opportunities, please reach out to devrel@neo4j.com
If you wish to get started with Graphs virtually at the comfort of your home, take our GraphAcademy courses. If you have already tried Neo4j and ran into some questions, check out our community forum: https://community.neo4j.com/.
Join us for our next event, and let's explore the exciting world of graphs, AI, and big data together!
Sponsors
See allUpcoming events (2)
See all- GraphDB Pune - August MeetupUnnati Development and Training Centre Pvt Ltd Pune, Pune
Hands-on Workshop: Getting Started with Spanner-like Databases & Neo4j for Graph Workloads
Speaker: Ashutosh Bhakare
Workshop Description:
Ever wondered how companies like Google, Netflix, and LinkedIn manage and analyze billions of relationships in their data? The secret lies in graph databases. This hands-on workshop is your perfect introduction to two powerful but different approaches for handling highly connected data.
We will explore:
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Neo4j: The world's leading native graph database. You will learn the fundamentals of the Property Graph Model, how to think in graphs, and get your hands dirty writing your first queries in Cypher, the intuitive query language for graphs. It's perfect for things like recommendation engines, fraud detection, and knowledge graphs.
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Graph Data in Distributed SQL (like Spanner): Learn the modern approach of modeling and querying graph data within a globally distributed, highly scalable SQL database like Google's Spanner. We'll discuss the pros and cons of this method and when it makes sense to use it for applications requiring massive scale and strong consistency.
What You Will Learn:
- The core concepts of graph data modeling (Nodes, Relationships, Properties).
- How to set up and run basic queries in a Neo4j database.
- The difference between a native graph database and storing graph data in a relational system.
- Practical use-cases for both technologies.
- A foundational understanding to help you decide which tool is right for your project.
Who Should Attend?
- Developers curious about new database technologies.
- Data scientists and analysts working with complex, connected datasets.
- Database administrators looking to expand their skills.
- Students and tech enthusiasts eager for a hands-on learning experience.
Prerequisites: Please bring your laptop fully charged to participate in the hands-on exercises. Further setup instructions will be shared with registered attendees.
RSVP Today! Seats are limited to ensure a quality hands-on experience.
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- Network event91 attendees from 10 groups hostingNODES 2025 - Asia PacificLink visible for attendees
NODES, the biggest community gathering dedicated to graph-powered apps, knowledge graphs, and AI returns for its seventh year on November 6, 2025.
Join thousands of developers and data & AI practitioners in this free, 24-hour conference to learn about the latest advancements in intelligent systems and gain insights from speakers showcasing their implementations, tools, and models.
This year's five themes are:
- Applications: Libraries, Frameworks, and Platforms
- AI Engineering: Generative AI, RAG, and Agents
- Data Intelligence: Machine Learning, Algorithms, and Models
- Graphs: Visualization, Knowledge Graphs and Tips & Tricks
- Architecture: Frameworks, Data Platforms, Clouds and Beyond
Don't miss it. Save the date now.