Flink has supported SQL since 1.2, and Ewen said it works by viewing streams as tables and having SQL queries on them that work incrementally: They can filter, add, or transform rows and columns.

Hazelcast suggests in its press release that SQL can be used “to declaratively ingest data from messaging systems like Kafka, as well as files and object storage such as S3”.

When a user poses a natural language question to your application, you want to find the most semantically meaningful results by issuing a similarity search. This involves vectorizing the query text ...

It is essential to have access to detailed, real-time information on the performance of database servers and databases. Database performance problems affect the business-critical applications that ...