New open-source efforts from Snowflake aim to help solve that unsolved challenges of text-to-SQL and inference performance for enterprise AI.

Query optimizers are responsible for converting SQL, expressed declaratively ... The optimizer then works on converting the logical plan into an efficient execution strategy depending on the ...

Everyone wants faster database queries, and both SQL developers and DBAs can turn ... This means you’re more likely to reuse your execution plans and even deal with caching issues, which can ...

The process of query optimization is very computationally expensive. For this reason, SQL Server stores execution plans in a cache (called the plan cache), so that the stored execution plan is ...

Thus far, SQL injection has focused on altering data within the database ... and which will enable arbitrary command execution. That mystery attack will affect MySQL and Postgres. "With any of these ...

Iterable Launches AI Query Summary to Enhance Marketing Campaign Execution and Targeting, Powered by Amazon Bedrock ...

The guide covers best practices for analyzing SQL query execution plans, how to identify and resolve common performance bottlenecks, and tips for tuning queries to improve database performance.

The paper also outlines various mitigation strategies such as white listing, CAPTCHA security, limiting SQL query execution time, preventing application level DoS, and CSRF protections.