Changelog

The event catalog arrives, giving you one place to browse and describe the events in a project.

Added​

• Event catalog. Browse and describe the events in a project, and pick them from an updated event dropdown.

Fixed​

• Fixed several Databricks issues.

You can now create a warehouse connection without leaving the project page.

Added​

• Inline connections. Create a connection directly from the project page.

New users get a short onboarding flow, and JSON columns on Postgres work more reliably.

Added​

• Onboarding. A minimal onboarding flow helps new users get started.

Fixed​

• Fixed JSON and JSONB columns on Postgres.

Postgres JSON and JSONB columns can be used as event properties.

Added​

• Postgres JSON support. Use fields inside JSON and JSONB columns on Postgres as properties.

Fixed​

• Email addresses are validated when entered.

A small fix release.

Fixed​

• Fixed sign-in issues.
• Saving a metric works reliably.

A small fix release for sharing and segmentation.

Changed​

• Updated the default values for new insights.

Fixed​

• The share button works.
• Fixed a segmentation bug.

Conversion metrics are now called funnels.

Changed​

• Conversion metrics are renamed to funnels.
• The property value input is cleared when you choose a different property.

Fixed​

• The share button works.

A maintenance release with packaging fixes.

A small release with a fix for self-hosted deployments.

Fixed​

• Links work when the configured home URL ends with a slash.

A small fix release.

Fixed​

• The connections page works again.
• Fixed several small bugs.

Mitzu connects to BigQuery, including JSON and struct columns. Signing in is now required, settings are stored in a relational database, and projects can be saved and discovered in one step.

Added​

• BigQuery. Connect to BigQuery and analyze its JSON (map) and struct columns.
• Save and discover. Save a project and start event discovery with one button.

Changed​

• Signing in is required to use Mitzu.
• Mitzu stores its settings in a relational database, which makes self-hosted installs more robust.
• User management is simpler.
• Event tables are sorted, and a project is created right after its connection is saved.

Fixed​

• Creating dashboards works.
• Sign-in sessions refresh reliably, including for SSO accounts identified by email.
• Fixed segment layout issues.

A small fix release for Snowflake and retention.

Fixed​

• Fixed an issue in the Snowflake connection.
• Retention insights start with better default settings.

A small release with a handful of bug fixes.

Warehouse secrets are now encrypted in the web app.

Fixed​

• Fixed the navigation bar.

Security​

• Connection secrets are stored encrypted.

Mitzu connects to Amazon Redshift.

Added​

• Redshift. Connect to Amazon Redshift and analyze its event tables.

Changed​

• The navigation bar shows the same items on every page.

A small fix release for single sign-on.

Fixed​

• Signing in with SSO works when user management is enabled.

Self-hosted installs can share a cache between deployments.

Added​

• Cache prefix. Configure a global key prefix for the cache, so several deployments can share one cache.

A large release that turns Mitzu into a full web app. It adds retention analysis and dashboards, connects to many more warehouses, supports nested data types, and ships as a Docker image with single sign-on and user management.

Added​

• Retention. Analyze retention with line charts and heatmaps.
• Dashboards. Create and update dashboards from saved metrics.
• More warehouses. Connect to Snowflake, Databricks, Athena and Trino.
• Nested data types. Use fields inside map, struct and other complex columns as properties.
• Multiple event tables. Analyze events from several tables in one project.
• Time to convert. Aggregate funnels by the time users take to convert.
• Table view. Sort, filter, page through and export the results table.
• Single sign-on. Sign in with OAuth or SSO, restrict sign-in to allowed email domains, and manage users and roles.
• Docker images. Run Mitzu from the official Docker image.
• Sample projects. Explore Mitzu with example projects and data.
• Share links. Share an insight with a link.

Changed​

• Projects support default date ranges and refresh automatically.
• Date partition columns are used to speed up queries.
• Project discovery is more reliable, and the app shows its version.

Fixed​

• Fixed retention chart legends and defaults when switching metric types, and connections that are in use can no longer be deleted.

A maintenance release with packaging fixes.

A small release with a segment fix and a clearer save button on projects.

Changed​

• The project save button is updated.

Fixed​

• Fixed an issue with simple segments.