7 posts tagged with "Superset"

Here’s a handy summary at the enhancements Millersoft has made to help make Apache Superset™ even more invaluable to our enterprise clients:

With the release of Apache Superset ™ 4.0, a new Alerts and Reports framework was introduced, replacing the previous reporting mechanisms. To ensure full compatibility, Millersoft reimplemented our enhancements, including the S3 delivery option and custom email body support, within this new framework. The updates extend the base notification class used by Superset’s core notification methods, ensuring that our improvements remain upgrade-safe and consistent with Superset’s architecture.

Millersoft as added AWS S3 as a new notification and delivery method for Apache Superset’s™ reporting system. While Superset natively supports Email and Slack, our enhancement allows users to additionally export and deliver reports directly to S3. This provides a convenient and secure way to integrate reports into external systems or make them accessible via an SFTP server.

In early versions Superset’s email reporting capabilities were relatively limited, typically supporting only basic recipient and subject fields.

Millersoft expanded this functionality significantly by adding CC and BCC fields for broader communication flexibilit. Superset now supports a custom email body, allowing teams to tailor their message content beyond the standard “Explore in Superset” link.

Millersoft has integrated Keycloak authentication, enabling teams to manage user access through a central identity provider. This integration supports enterprise requirements like single sign-on (SSO), role-based access control (RBAC), and multi-factor authentication. Enabling organisations to manage Superset users securely and at scale.

To make sensitive data handling both secure and user-friendly within Superset, Millersoft introduced a new Detokenisation feature. This is available in both SQL Lab and the charting interface, which allows users to view tokenised data in a more readable format.

At Millersoft, we’ve been working to make Apache Druid™ more efficient, flexible, and cost-effective for analytics workloads. One area we’ve focused on is the Python-to-Druid connector (pydruid), which powers integrations with Apache Superset™.

We’re excited to share some improvements we’ve made that open the door to new capabilities in Superset dashboards and the potential for substantial cost savings in large-scale Druid deployments.