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

Blog post from SingleStore

Post Details
Company
Date Published
Author
Dave Eyler, Eric Hanson, Spandana Rachamadugu, Jason Thorsness
Word Count
968
Company Posts That Month
14
Language
English
Hacker News Points
1
Post removed?
No
Summary

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.

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