[senthil]

Hi rocuinneagain / KX,

Thanks for your response. I understand your point. Yes, in our all-purpose compute internet communication was blocked for security purpose. But it’s typical behavior of all-purpose compute. We have another one compute called serverless compute which is used for low level query activities. In serverless compute, the internet communication is always available that’s why I can able to use pykx on that compute-based notebooks.

Here is my follow up question, I read about pykx integration in databricks (Accelerated Data Engineering and Analytics | Databricks Blog), can you suggest which type of configuration in databrick is suitable to access the pykx or kdb+ services.

We can’t use serverless compute for high level queries and operations. Looking forward. Thanks in advance! Happy coding!

databricks.com

KX and Databricks Integration: Advancing Time-series Data Analytics in Capital Markets and Beyond

KX integrates with Databricks to enhance time-series data analytics for capital markets, offering real-time insights and advanced analytics.