Stop Mapping Tables: A Smarter Architectural Design for Complex Multi-Company Integrations | RavenDB

Rob Hardy realized that relational databases were stalling his projects. As a company providing critical integration solutions across multiple global industries, The Harrier Group cannot afford the friction of fragmented data or the risk of slow processing. They needed a system that worked as hard as they do. Rob switched to RavenDB because it eliminates the constant chore of manual indexing. Instead of spreading related data across dozens of rigid tables, he now stores it in single, logical documents. RavenDB observes his queries and handles the fine-tuning automatically, providing built-in vector search for their global API platforms without the usual configuration headache. When your business relies on unifying customer data across multiple companies, you need a database that stays out of your way. Rob found that by letting the database handle its own indexing, he could focus on the architecture that actually moves the needle for his clients. Recorded at the RavenDB booth during NDC London 2026. -- About RavenDB RavenDB is a multi-model NoSQL document database trusted by thousands of companies worldwide, built for teams that need to move fast without sacrificing stability. It includes ACID transactions, auto-indexing, secure clustering, and support for documents, time-series, vector search, and native AI features out of the box. Designed to reduce operational complexity, RavenDB helps developers build and run modern applications with confidence. 🌐 Learn more: https://ravendb.net 🚀 Get Started for Free: https://ravendb.net/download ☁️ RavenDB Cloud: https://cloud.ravendb.net 📖 Technical Documentation: https://docs.ravendb.net/7.2/start/getting-started/ 💻 GitHub Samples: https://github.com/ravendb/ravendb 🤝 Discord Community: https://discord.com/invite/ravendb 💼 LinkedIn: https://il.linkedin.com/company/ravendb 🗨️ X: https://x.com/RavenDB #ravendb #ndc #nosql #workshop #dotnet10 #aiagents #vectorsearch #cloudcosts #databasesecurity #dataarchitecture #softwareengineering #s3 #blobstorage #etl #datamigration #json #blobstorage #s3 #dotnet #databasemanagement #softwarearchitecture #vectorsearch #aiagents #generativeai #rag #acid #dataarchitecture #distributedsystems #databasemanagement #edgecomputing #datasecurity #fulltext