2025-09-15

Heatmap Chart Type: Introduced a new heatmap chart type for visualizing data where values are represented as colors. Heatmaps require exactly two dimensions and one metric, making them perfect for showing relationships between categorical dimensions.

Markdown Component: Added support for Markdown components in Intelligent Apps. Users can now add rich text sections with formatting, headers, lists, and more to their dashboards.

Multiple Selection Filters: Enhanced dropdown filters with multiple selection capability. Users can now select multiple values from a dropdown filter, with proper handling in SQL queries using Jinja templates.

2025-09-08

Embedded Intelligent Apps: Introduced the ability to embed Intelligent Apps into external applications via iframes. Generate a secure JWT token containing app and user details, and easily integrate dashboards into your own products.
Theme selection for Intelligent Apps: Added theme customization options for Intelligent Apps with multiple color schemes: default, teal, blue, green, purple, orange, amber, and mono. Set themes through the style.theme configuration property.
Chart export features: Added export capabilities for Intelligent App charts. Users can now download chart data as CSV files or save visualizations as PNG images. Enable with the chart_export_enabled configuration property.

File Container: Introduced File Container, a storage solution for managing files in Datazone. It allows you to create, update, and delete file containers, and use them to store data for your pipelines and notebooks. You can interact with file containers like AWS S3 buckets or Google Cloud Storage buckets using the FileContainerClient toolkit.
Orion Notebook Assistant: Added support for code suggestion and error suggestions in Orion Notebooks. Just click to Sparkles ✨ and tell what you want to do, and Orion will suggest code snippets.

Endpoints: Introduced a new core concept - Endpoints! Users can now create secure, controlled API interfaces for their datasets. Define endpoints using YAML configuration with filters, queries, and authentication. Perfect for exposing analytical results, feeding data to downstream systems, or creating data products that other teams can consume.

chart_config attribute: The chart_config attribute is now available for all chart types, allowing you to customize chart appearance with options like fill_donut, show_labels, and show_legend.
Stacked bar charts: Added support for stacked bar charts using the is_stacked attribute, allowing you to visualize multiple metrics in a single bar

fill_donut for pie charts: The fill_donut attribute is now available for pie charts, allowing you to fill the donut area for a more visually appealing design.

Radial chart type: Added support for the new radial chart type, perfect for displaying progress or completion metrics in a circular format. Requires exactly two metrics where the first represents the current value and the second represents the total.

Filter dependencies and cascading filters: Enhanced filter functionality with dependent filters that create cascading effects. Filters can now reference other filter variables in their SQL queries, enabling hierarchical filtering like country → city relationships.
AI-driven deployment error assistance: New deployment activity feature allows users to directly ask Orion Code Assistant for help when encountering deployment errors, providing intelligent troubleshooting and fix suggestions.

Icon feature for number charts: You can now add Lucide icons next to number values in number charts using the icon and icon_variant attributes.

metric_format to format: The metric_format attribute is deprecated. Use the new format attribute under each metric instead.
Composed (combined) chart type: Added support for the new composed chart type, allowing you to combine line and bar series in a single chart.

Axis support for line, bar, and composed charts: You can now define multiple axes using the axis property and assign metrics to axes with axis_name.
affected_filter for bar and pie charts: Add affected_filter under a dimension to allow users to update filter values by clicking chart items (bars or pie slices).

For more details, see the relevant documentation sections linked above.