Added the saved query feature, which allows users to store frequently used or important queries. For details, refer to the Saved query guide.
Added the query result reuse feature, which enables the use of cached results when executing the same query repeatedly without scanning data. For details, refer to the Reused query result guide.
Changed the event names and added new events for Data Query in Cloud Trail. (Go to Cloud Trail)
Added an option to restrict public access to data sources containing sensitive information when creating data sources. For details, refer to the Data source visibility settings guide.
Other feature improvements and stability enhancements.
Added a guide for limitations and settings to optimize query execution in KakaoCloud Data Query. For details, refer to the Limitations and settings guide.
KakaoCloud Data Query is a serverless interactive query service that enables querying, analyzing, and processing data stored in various data sources using standard SQL. Based on the data scan volume, it automatically deploys an optimized execution engine, allowing large-scale data to be efficiently analyzed without complex infrastructure setup. It also supports real-time analysis and custom processing logic, providing flexibility and agility in data utilization. For more details, refer to the official Data Query documentation.