Join us on September 30 in Frankfurt for a day filled with educational breakout sessions, customer stories, announcement packed keynote address, 1:1 Ask the Experts consulting, networking and more!
Come and engage in meaningful discussions with fellow guests, industry leaders, and other MongoDB enthusiasts.
Spaces are limited, so register now and secure your spot!
Join us at MongoDB Day Frankfurt 2025 to understand how MongoDB provides the modern data platform essential for your modernization strategy. We'll explore how our flexible architecture empowers you to adapt, innovate, and build the intelligent applications of tomorrow.
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- Unlock Your Modernization Strategy with MongoDB Partnership
- Harness the Power of Generative AI for Business Innovation
- Connect with Experts, Learn Best Practices, and Network with Peers in the Frankfurt Tech Community
We’ll kick off the day with a keynote session followed by a mix of hands-on labs, customer success stories, industry lounges and expert-led discussions. Attendees can choose between two parallel tracks: Modernization & AI — designed to match different interests and roles. The full agenda below, including session topics, speakers, and timings, is being updated regularly!
Schwarz IT:Â From Paper to Pixels: Kaufland's Electronic Price Labeling Revolution
Kaufland is undergoing a significant digital transformation, replacing a 25-year-old monolithic pricing system with a service-oriented cloud solution to power modern electronic shelf labels. This presentation offers an in-depth look into our ongoing project, focusing specifically on our team's transition to MongoDB from a primary relational database background, detailing our decisions, initial expectations, and key learnings.
Speaker: Matthias Achtelik, Software Engineer at Schwarz IT
Language:Â English
Partner Spotlight: The Art of the possible with MongoDB + Microsoft
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Discover how MongoDB and Microsoft combine to unlock modern application development and enterprise innovation. This session explores integrations between MongoDB Atlas and Microsoft Azure, leveraging cloud-native deployments, real-time insights, and intelligent automation. Learn how this partnership drives scalable data management, machine learning workflows, and transforms operations through real-world use cases and practical strategies
Speaker: Madhu Padmanabhan, Cloud Solution Architect at Microsoft, Frederic Favelin, Manager Solutions Architecture at MongoDB.
Language: English
Partner Spotlight: Overcoming Resistance to Change for Digital Transformation
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Learn how pairing Confluent’s data streaming platform with MongoDB’s cloud-native database modernizes enterprise architectures, unlocking agility, innovation, and responsiveness. Explore how AI, machine learning, and IoT drive automation, faster decisions, and improved customer experiences. Join this session to discover how modern approaches enable data-driven innovation and competitive advantage.
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Speaker:Â
Perry Krol, Principal Solutions Engineer at Confluent
Language: English
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Breaking GenAI Biases -Â A panel discussion around types of Gen AI Biases and real-world consequences.
Generative AI (GenAI) holds transformative potential but often amplifies biases that impact fairness, trust, and representation. This panel explores key topics, including making GenAI more inclusive, preparing organizations for AI, creating diverse datasets, and addressing historical biases in AI systems. Panelists will share strategies for bias detection, equitable data representation, and ethics-driven AI development to foster inclusive and transparent GenAI systems.
Panelists: Mamta Bharti. VP Digital Platform Owner B2C at Deutsche Telekom IT, Genevieve Broadhead, Global Lead, Retail Solutions at MongoDB.
Language:Â English
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Introducing the Application Modernization Platform (AMP)
Legacy applications are no longer just technical debt – they're business risk. MongoDB’s Application Modernization Platform (AMP) helps organizations upgrade legacy systems, embrace modern architectures, and accelerate digital transformation with cloud-native scalability, AI-ready analytics, and powerful migration tools to future-proof their technology stacks.
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Speaker:Â Boris Bialek, Vice President, Industry Solutions
Language: English
Level: Intermediate
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Schema Design for Great Application Performance
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In this fast-paced session filled with real-world examples, we’ll explore how schema design decisions directly impact application performance. Using performance benchmarks from real applications, we’ll analyze how changes to schema structure influence speed, scalability, and efficiency. You’ll learn when embedding outperforms referencing (and when it doesn’t), how data colocation can either accelerate or slow down queries, and key trade-offs to consider for different workloads. By the end, you’ll walk away with a deeper understanding of schema best practices and how to design for peak performance—because in the world of databases, the answer is almost always “it depends".
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Speaker: Ingo Hofmann, Solutions Architect at MongoDB
Language: English
Level: Beginner
From RDBMS to NoSQL at Enterprise Scale
NoSQL isn’t just a database—it’s a fundamental shift in how we think about and manage data. For decades, traditional relational database management systems (RDBMS) have been the default choice for software development, making the transition to NoSQL a challenge as organizations navigate ingrained habits and established technologies.
This session is designed to help developers, technologists, and technical decision-makers adopt the NoSQL mindset by exploring key design patterns, best practices, and real-world use cases. We'll break down the differences between NoSQL and RDBMS, highlighting when and why to make the shift. Join us for a deep dive into NoSQL data modeling and discover how MongoDB unlocks new possibilities for both software engineers and product leaders.
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Speaker: Jan Göbel, Solutions Architect at MongoDB
Language: EnglishÂ
Level: Intermediate
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Building for scale, how MongoDB grows with you
In this session, discover how MongoDB Atlas empowers your application's growth journey from inception to global scale. We'll start by showing you how to leverage a flex tier cluster as you develop your idea into a scalable MVP. As your application's demands increase, learn how Atlas seamlessly supports multi-region deployments and horizontal scaling (i.e. sharding) to accommodate your growing user base. Experience demos of Atlas' user-friendly UI, expressive API, and Infrastructure as Code tools like Terraform, highlighting how our intuitive DevOps experience enables you to effortlessly manage and scale your database. Unlock the flexibility to grow your database in tandem with your application's success, ensuring seamless expansion without premature scaling.
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Speaker: Amon Engemann, Solutions Architect at MongoDB
Language: English
Level: Intermediate
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EnBW LernGPT: Millions of employees’ prompts served proudly with MongoDB
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At EnBW, the question is no longer whether to use AI, but how. This shift, driven by a forward-thinking culture, was accelerated by the launch of LernGPT in March 2023—just months after ChatGPT's public debut. This talk explores the story behind LernGPT, its unconventional development, and the technical simplicity that sparked transformative AI adoption and proficiency across the organization.
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Speaker: Timm Friebe, Head of HR Platform & Products at EnBW Energie Baden-Württemberg AG
Language: English
Partner Spotlight: From Data to Agent: Build AI-Powered Apps with MongoDB, BigQuery, and Vertex AI
Next-generation applications are defined by their intelligence, but an AI model is only as good as the data it can access. To build truly smart applications, developers need a seamless way to connect their AI with real-time, proprietary business data. This session provides a developer's blueprint for creating a powerful "Data Intelligence Loop" using MongoDB Atlas and Google Cloud.
We will demonstrate a complete, end-to-end architecture that transforms your data into a competitive advantage. First, you'll learn how to establish a real-time analytics pipeline, syncing operational data from MongoDB Atlas directly into Google BigQuery to uncover business insights without impacting production workloads. Then, we'll dive into the core of the modern AI stack, showing you how to use MongoDB Atlas Vector Search as the long-term memory for a sophisticated agent built with Google's Vertex AI. You will leave with a practical, repeatable pattern for building applications that not only store data but also understand, analyze, and act on it intelligently.
Speakers: Wojciech Marusiak, Customer Engineer at Google Cloud and Daniel Quinlan, Customer Engineer at Google Cloud
Language: English
Partner Spotlight: AWS
Turn AI into ROI: Building Generative AI Applications with MongoDB Atlas on AWS
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Turn generative AI into business results by building intelligent agentic applications using AWS and MongoDB Atlas. We’ll show you how to combine AI services from AWS with MongoDB Atlas to power context-aware, autonomous agents. Explore serverless architectures, agent frameworks, and real-world examples that demonstrate how to move from experimentation to production fast.
Speaker: Aychin Gasimov, Senior Partner Solutions Architect Data & AI at AWS
Language: English
From Idea to Impact: Best Practices for Building AI-Driven Applications with MongoDB Professional ServicesÂ
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Learn how MongoDB Professional Services is helping companies to design and build impactful AI-driven applications. This session covers optimizing data models, performance, and scalability for AI workloads, along with real-world examples and expert solutions to accelerate the journey from concept to deployment and turn ideas into impactful solutions with MongoDB.
Speaker: Dr. Stefan Boettger & Meho Hatic, Consulting Engineers at MongoDB
Language:Â EnglishÂ
Level:Â Beginner
Accelerate Your Development with the latest MongoDB Innovations
In this session, you will learn how to simplify and accelerate application development using the latest features and innovations in MongoDB.
We will present you an end-to-end demo to create an real application using some of the exciting new capabilities in MongoDB. If you bring your laptop, you can also follow the demo instructions and try it yourself in live!
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Speaker: Kamil Wieczorek, Senior Solutions Architect at MongoDB
Language: English
Level: Intermediate
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Embedding the Future: How Modern Databases Are Eating Search, Generative AI & Vector Search
Atlas Search and Atlas Vector Search were built to feel seamless to the rest of MongoDB. Learn about what is coming to the product in 8.1 and beyond to make these capabilities even more powerful and further ease development, even for search and AI applications with challenging scalability or querying requirements.
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Speaker: Philip Eschenbacher, Advisory Solutions Architect at MongoDB
Language: English
Level: Intermediate
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MongoDB Search and Vector Search for AI: Practical Applications on Enterprise Server
Learn how MongoDB Search and Vector Search power AI applications (now on Enterprise Server), enabling capabilities like semantic search, recommendations, and image retrieval. Discover practical use cases, optimization strategies, and the potential of AI-driven databases for enterprise solutions, even those that have to remain on-premise.
Speaker:Â Bart Polot, Solutions Architect at MongoDB
Language:Â EnglishÂ
Level:Â Intermediate
How MongoDB and Voyage AI Build Your Agentic System
AI is evolving from chatbots to agents that can reason, remember, and act. This session shows how Voyage AI models provide intelligence, while MongoDB Vector Search gives agents the memory they need to adapt and deliver smarter results. Learn how to build the connected, intelligent systems shaping the future of AI.
Speaker:Â Ainara Miller-Askar, Solutions Architect at MongoDB
Language: EnglishÂ
Level: Intermediate
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LAB 1: MongoDB—From Relational to Document Model
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Join us for a hands-on workshop on data modeling to learn how MongoDB’s flexible document model compares to traditional relational models. Together, we’ll walk through the MongoDB data modeling methodology:
Identify entities
Quantify application workloads
Model relationships with embedding or referencing
We’ll apply this methodology through practical exercises to build the schema for a sample application—a library management system. Additionally, you will learn how to use MongoDB’s schema validation to ensure data integrity and consistency.
During the workshop, you will have the opportunity to earn the Relational to Document Model MongoDB skill badge that you can add to your LinkedIn profile.
Speaker: Franck Pachot, Developer Relations at MongoDB and Michael Höller, Independent Solutions Architect at Akazia Consulting.
Language: English
Skill Badge Opportunity: Relational to Document Model
LAB 2: Advanced Schema Patterns and Antipatterns
Join us for this hands-on data modeling webinar/workshop where we’ll explore common MongoDB schema design patterns and learn how to avoid anti-patterns. You’ll get first-hand experience with the following patterns:
- Extended reference
- Computed
- Inheritance
We’ll also cover common schema design anti-patterns:
- Unbounded arrays
- Bloated documents
You’ll learn not only how to identify these anti-patterns but also why they can be detrimental to your database’s performance.
During the workshop, you’ll have the opportunity to earn the Schema Design Patterns and Anti-Patterns MongoDB skill badge that you can add to your LinkedIn profile.
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Speaker:Â Franck Pachot, Developer Relations at MongoDB and Ismail Arabaci, Solutions Architect at MongoDB
Language:Â English
Skill Badge Opportunity: Design Patterns and Anti-Patterns
LAB 3: Gen AI 101: Vector Search Fundamentals
Join us to discover how to enrich your application and power AI capabilities with semantic search using MongoDB Atlas Vector Search. In this workshop, you will learn the core concepts of vector search and how it works in MongoDB. You will also gain hands-on experience in performing vector search queries against MongoDB collections and learn how to tune and optimize these queries to improve query performance. So, be sure to bring a laptop to get the most out of this session.
You will be provided with all the resources required to successfully execute the hands-on portions of the workshop, including a GitHub repository of Jupyter Notebook templates with pseudocode. During the workshop, you will replace the pseudocode in the templates with your code.
At the end of the workshop, you will also be able to check your learning and earn the Vector Search Fundamentals skill badge to share with your network!
Speaker: Samuel Boehme, Solutions Architect at MongoDB and Celia Halenke, Solutions Architect at MongoDB
Language:Â English
Skill Badge Opportunity: Vector Search Fundamentals
MongoDB Day Frankfurt is a free, full-day educational event where you can explore the latest in AI, data, and application development. Learn from industry experts, real-world customer success stories, and connect with MongoDB engineers, solution architects, and peers. Engage in interactive sessions and technical deep dives to gain hands-on experience.
It's a 45-Minute pre-booked private session with a MongoDB expert. We will sit down with you, talk through your data model, go through your access patterns and leave you with a prototype that you can choose to iterate on.Â
You can indicate your interest in a Design Review by ticking the box in the registration form.Â
