MongoDB Day Tel Aviv, coming September 15, 2025, is a full day with the objective of bringing the best content directly to clients, community members and MongoDB users in the region. This event will feature a keynote, breakout sessions with customer testimonials, practical workshops, MongoDB product stands, demos and much more.
*All sessions will be conducted in Hebrew*
*registration is subject to approval*
MongoDB Day Tel Aviv 2025 is a full-day event packed with inspiration, innovation, and hands-on learning.
With two parallel tracks, you’ll have the flexibility to tailor your experience—whether you're focused on AI-driven architectures, secure data, or developer tools. Explore real-world applications of MongoDB in generative AI, hybrid search, predictive maintenance, and more.
Learn from MongoDB experts, cloud partners, and customers as they share best practices and practical insights.
The day wraps up with our high-energy AI Party—a chance to relax, connect, and celebrate with the local tech community.
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.
Scaling for Success: Architecting Modern Applications with MongoDB Atlas and AWS
Dan Porat, ISV partner Sales Manager - AWS
Dan Kolodny, Solution Architect - AWS
Join AWS and MongoDB to discover how organizations are building and scaling modern applications using MongoDB Atlas on AWS. We'll explore proven architectural patterns and demonstrate how to leverage AWS's global infrastructure alongside MongoDB Atlas's capabilities to accelerate your cloud journey and drive innovation.
MongoDB + Google Cloud Better Together for Data & AI
Gavriel Mitrani, ISV GTM Manager - Google Cloud
Oren Bouni, Customer Engineer - Google Cloud
Discover how the strategic partnership between MongoDB and Google Cloud empowers you to build next-generation, AI-driven applications. Learn how to leverage MongoDB Atlas with Google's cutting-edge Data and AI services to accelerate innovation, unlock new insights, and drive transformative business outcomes.
From Document Store to AI Agent: Building AI Applications with MongoDB Atlas and Azure AI Foundry
Eitan Sela, Senior Cloud Solutions Architect - Microsoft
MongoDB started as a flexible document store, but today it is evolving into a foundation for building intelligent, AI driven applications. This session will explore how developers can harness MongoDB Atlas together with Azure AI Foundry and GPT-5 model to move beyond data storage and power context-aware AI agents. We’ll discuss how MongoDB Atlas provides the scalable data layer for modern AI, and how Azure AI Foundry enables orchestration of cutting-edge agents.
Through several live demos, we will showcase how MongoDB Atlas seamlessly integrates with Azure AI Foundry to build context-aware applications that can reason, act, and adapt, transforming MongoDB from a place to store documents into the backbone of your AI agent strategy.
Agentic AI is changing how we interact with business applications, how we architect for them, and altering technology portfolio investment strategies. This session will break down the changing data architecture landscape with the goal of empowering the next generation of IT decision makers and architects, as they steer their own technology portfolios and agendas. (edited)
Running MongoDB on Premise:
Best Practices for Ops Manager and Kubernetes
Matan Zohar - Senior Solution Architect - MongoDB
In this session, you'll learn the best practices for running Ops Manager at high scale and with high availability, including how to take advantage of Kubernetes to provide an extra layer of resilience, automation and simplification by leveraging our Operator to deploy Ops Manager across multiple geographically separated Kubernetes clusters.
Atlas Stream Processing brings real-time analytics natively into MongoDB Atlas, unifying data in motion with data at rest through the familiar document model and aggregation framework. In this session, we’ll explore how continuous pipelines enable transformation, enrichment, and analysis of high-velocity streams at scale, while simplifying architectures and reducing operational complexity. With examples ranging from predictive maintenance in industrial plants to anomaly detection in IT monitoring, you’ll see how Atlas Stream Processing supports advanced features like windowing, continuous merge, and schema validation, and how it empowers developers to build real-time and AI-ready applications without leaving the Atlas platform.
Building Scalable Customer-Facing GenAI Applications in Hybrid Environments
Nir Sela, Director of Customer Success - Iguazio (a McKinsey Company)
If you're working on deploying GenAI agents in live business environments, you're probably face challenges such as AI hallucinations, handling sensitive data, dealing with compliance, managing escalating costs and the complexities of delivering hyper-personalized, real-time interactions at scale. Working in a hybrid environment introduces a host of other operational challenges. In this session, Nir Sela, Director of Customer Success at Iguazio (a McKinsey company), will unpack how MongoDB and Iguazio together provide an end-to-end solution that addresses the challenges of operationalizing (gen) AI, including leveraging built-in guardrails, governance, and monitoring. Nir will demonstrate Iguazio’s open source production-ready AI orchestration framework and show how it streamlines the full AI lifecycle— data management, development, deployment and management in production. The session will include a live demo of a customer-facing Gen AI agent, which adapts dynamically to each customer, conversing in a different tone of voice depending on the context. Join us to learn how leading organizations are already leveraging these LLMOps best practices and technologies to increase sales, reduce call center handling times, and scale AI across the enterprise in a cost-effective way.
MongoDB is a powerful general-purpose database with many advanced features to boost performance (e.g., sharding, dedicated search/analytics nodes, schema design patterns). However, in this talk, we will be focusing on back-to-basics fundamentals—simple but often overlooked techniques that can greatly improve application and workload performance. We will cover key performance topics including document size, document structure and hierarchy, indexing, and denormalization and data duplication. The takeaways from this session can be applied to all MongoDB editions and versions
Thriving in the AI Era – Insights from Industry Leaders (Customer Panel)
Nir Atias - Principal Partner Specialist - MongoDB
Gilad Shoham - Dev & Open Source Leader, Bit Cloud
Eyal Ben Barouch - Head of Data & AI, Tavili
Nisim Turgeman - CTO, Clalit Health Care
In a world where AI is reshaping every industry, the pace of change has never been faster. This panel brings together visionary leaders who are driving transformation—sharing how they adapt, innovate, and deliver intelligent experiences at scale. The conversation will explore how modern data platforms and innovative database strategies play a critical role in enabling this shift, providing the foundation for agility, intelligent search, and handling diverse, evolving data needs.
Scale Smart: Choosing Between Vertical Scaling and Horizontal Scaling
Adi Mor - Solution Architect - MongoDB
Making the right choice between scaling vertically and scaling horizontally (sharding) is crucial for your MongoDB deployment's performance and cost-effectiveness. This session will guide you through the key decision factors, performance implications, and best practices for both scaling approaches. You'll learn when to shard, how to implement sharding effectively, and how to determine the optimal scaling strategy for your specific use case.
Accelerate Enterprise Search: How Hybrid Vector and Text Search Unlocks Insights Across Enterprises for AI-powered results
Adi Segal - Solution Architect - MongoDB
Discover how MongoDB Atlas Search and Atlas Vector Search make it simple to deliver AI-powered, hybrid search experiences. We’ll cover what’s new in 8.1 and how to combine text-based and semantic search to unlock insights, improve customer interactions, and streamline data discovery—without the complexity of traditional search architectures.
Join us for an enriching “Data Modeling and Schema Design Patterns for MongoDB” hands-on session that sets the tone for the day. As the sun rises on your learning journey, discover the art of shaping data into the document model with MongoDB. From the fundamentals of data modeling to the heights of advanced patterns, empower yourself with the skills to maximize MongoDB's potential. Craft your data landscape with precision, and watch as your application thrives under your masterful guidance.
2025 is the year of AI agents, and we don’t want you to miss out! In this workshop, you will learn the core concepts of AI agents, such as reasoning, tools, and memory. You will also learn about different agent architectures, and finally, you will build a MongoDB learning agent that uses MongoDB as the agent's memory and knowledge store, Claude 3.5 Sonnet/Gemini 2.0/GPT-4o as the agent’s “brain,” and LangGraph to orchestrate the end-to-end agentic workflow.
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.
Are your MongoDB deployments secure? In this hands-on workshop, you’ll learn how to configure network security, implement authentication, manage user permissions with role-based access control (RBAC), and encrypt data with queryable encryption. You’ll leave ready to secure and operate your Atlas project with authentication, authorization, and encryption.
