You can store semi-structured data, such as user profiles or API responses, in a JSON column while still being able to query it like structured data. To store JSON data in SingleStore, you define a table with a JSON column and insert JSON objects directly into the table using the `INSERT INTO` statement. You can then query the JSON data using the `JSON_EXTRACT_JSON` function. Partitioning is another feature of SingleStore that divides a table's data into smaller chunks to optimize performance for time-series data, event logs, and datasets that grow over time. Full-text search allows databases to quickly find words and phrases in text columns, making it ideal for search engines, documentation systems, user-generated content, and chat applications. Vector operations are used in AI and machine learning applications to represent complex data in numerical form, and SingleStore's native vector support makes it easy to store and query embeddings for semantic search, recommendations, anomaly detection, and similarity matching.