Structured data is organized in a format that is easily understandable by both humans and machines, making it efficient for storage, retrieval, and analysis. It typically appears in relational databases, spreadsheets, and other tabular formats with well-defined schema or models governing relationships and properties of elements. In contrast, semi-structured data has some structure but leaves room for non-structured data, often appearing in formats like XML, JSON, Avro, Parquet, HTML code, and emails. Unstructured data lacks organization, including text files, PDFs, images, video, and audio files, which can be stored as Binary Large Objects (BLOBs) or in file systems/object storages with metadata and vector embeddings associated with them. SingleStore supports processing structured, semi-structured, and unstructured data using SQL queries, JSON columns, and external machine learning models for applications like customer information, JSON datasets, and AI-driven use cases.