Snowflake is an AI data cloud platform that enables organizations to break down silos and collaborate more effectively with partners and customers for storing, managing, and analyzing data. With Snowpark and Snowpark Container Services, developers can build applications and pipelines using familiar programming languages like Python and Java without moving data across tools or platforms. The Datadog Snowflake integration allows developers and data engineers to observe and act on their applications and data pipelines through Snowsight or third-party tools, leveraging metrics, traces, logs, and notifications as telemetry. With the new integration, Snowpark developers can ingest logs from all deployments, accounts, and regions into a single Datadog account, capturing logs and events in the Event Table and accessing them in Datadog via the new integration and standard logging and metrics. This enables quick action on Snowpark bottlenecks and failures by using Log Explorer to search for specific events or logs, creating custom monitors to alert on issues, and visualizing performance with Datadog's 850+ integrations.