The SingleStore Cookbook: Recipes for Multi-Model, Machine Learning and AI DatData Engineering
Chaudhri, A. (2026). The SingleStore Cookbook: Recipes for Multi-Model, Machine Learning and AI Data Engineering. Self-published.
Introduction
Over the last decade, the data infrastructure landscape has expanded into a patchwork of specialized systems, such as operational databases, analytical warehouses, time-series engines, document stores, vector databases, search engines and streaming platforms. Organizations increasingly find themselves stitching these systems together to support real-time applications, machine learning pipelines and AI agents. This architectural fragmentation introduces latency, complexity and operational cost.
SingleStore takes a fundamentally different approach. It provides a unified, distributed, cloud-native engine capable of handling transactional, analytical, time-series, vector and unstructured workloads within a single system. The value proposition is simple: instead of building and maintaining a variety of purpose-built data engines, SingleStore is designed to serve as the primary platform for modern, data-intensive applications.
https://singlestore-cookbook.github.io/
About the Author
Akmal Chaudhri is a technical leader, educator and author with extensive experience in databases, AI and developer relations. He specializes in technical writing, developer education and community building, helping engineers and organizations understand and adopt complex technologies through clear, practical and engaging content. He is a frequent international speaker, a published author and a contributor to industry discussions on data platforms, AI and software development.
Before joining Neo4j, Akmal spent nearly four years at SingleStore, working closely with the database and its surrounding ecosystem. During that time, he developed technical content, delivered webinars and workshops, and explored many of the platform’s capabilities, including real-time analytics, multi-model data access, vector search and AI-powered applications.
In 2025, he left SingleStore to take a sabbatical, during which much of this book was written. The material draws heavily on hands-on experience gained through building applications, educational resources and demonstrations using SingleStore.
Today, Akmal works in developer education at Neo4j, where he focuses on technical content, workshops and community initiatives. While his professional role has evolved, this book represents an independent exploration of SingleStore based on first-hand experience with the platform and its ecosystem.
Based in the United Kingdom, Akmal continues to work at the intersection of databases, AI and developer tooling, helping developers build modern data-driven applications.
For book updates, code samples and additional resources, visit the Book website.
To connect professionally or follow his latest work, visit LinkedIn.