https://community.databricks.com/t5/data-engineering/how-many-users-can-the-jdbc-endpoint-support-in-the-all-purpose/m-p/22399#M15334 <P>There is a limit an execution context limit of 145. This means you can have at most 145 notebooks attached to a cluster. </P><P></P><P><A href="https://kb.databricks.com/execution/maximum-execution-context.html" target="test_blank">https://kb.databricks.com/execution/maximum-execution-context.html</A></P><P></P><P>If you are primarily using SQL then Databricks SQL Endpoints would be a better option from a performance and cost point of view. </P> Mon, 21 Jun 2021 18:23:02 GMT Ryan_Chynoweth 2021-06-21T18:23:02Z https://community.databricks.com/t5/data-engineering/how-many-users-can-the-jdbc-endpoint-support-in-the-all-purpose/m-p/22398#M15333 <P>What is the max number of users can the JDBC endpoint support in the All Purpose high concurrency cluster? To support more sql workloads, is it better to go with Databricks Sql Enpoints?</P> Fri, 18 Jun 2021 20:14:53 GMT https://community.databricks.com/t5/data-engineering/how-many-users-can-the-jdbc-endpoint-support-in-the-all-purpose/m-p/22398#M15333 HowardWong 2021-06-18T20:14:53Z https://community.databricks.com/t5/data-engineering/how-many-users-can-the-jdbc-endpoint-support-in-the-all-purpose/m-p/22399#M15334 <P>There is a limit an execution context limit of 145. This means you can have at most 145 notebooks attached to a cluster. </P><P></P><P><A href="https://kb.databricks.com/execution/maximum-execution-context.html" target="test_blank">https://kb.databricks.com/execution/maximum-execution-context.html</A></P><P></P><P>If you are primarily using SQL then Databricks SQL Endpoints would be a better option from a performance and cost point of view. </P> Mon, 21 Jun 2021 18:23:02 GMT https://community.databricks.com/t5/data-engineering/how-many-users-can-the-jdbc-endpoint-support-in-the-all-purpose/m-p/22399#M15334 Ryan_Chynoweth 2021-06-21T18:23:02Z