SQL vs. NoSQL: Solved With SingleStore’s Blazing-Fast JSON Analytics

SingleStore has developed a database that combines the benefits of SQL and NoSQL, allowing users to store structured data in JSON format and still achieve fast analytics and query performance. This is achieved through the use of columnarization, vectorized query engines, and native support for MongoDB-compatible APIs, making it possible to run analytical queries on JSON data without sacrificing ease of use or requiring schema changes. With SingleStore, users can now handle both structured and semi-structured data in a single database, supporting AI applications that rely on both SQL and NoSQL data. This allows for consistent, predictable performance and eliminates the need to choose between SQL and NoSQL.