Highlights of what we’re cooking

Actively being built

AI-backed Metabot

Natural language querying, SQL fixes, result summaries and quicker actions throughout.

AI-backed SQL editing

SQL generation and fixing backed by LLMs.

AI-backed querying in embedding

Natural language querying for embedding users.

Editable tables

Browse and edit data in your database.

Semantic search

Improved search using LLMs.

Transforms

A better way to pre-compute Models.

Better setup process

Simplifying how you get up and running, connect your data, and more.

Documents

Better way to create long-form reports and data explorations.

Improved detail views

Persistent links to specific records and their connections.

List view for models

More easily scan and browse account lists, subscriptions, etc.

More improvements to table viz

Slick design, column totals, multi-select, better support for categorical columns and more.

Parameters in snippets

Ability to include parameters in SQL snippets.

Redesigned admin UI

Easier to use, easier to build with. Admins deserve nice UI too.

Planned for the next release or two

Dashboard drafts and approvals

In-product review and change management for dashboards.

Unified embedding hub

A central place to configure and monitor embedded analytics.

Better search UX

Better access to filters and a more useful full results page.

Boxplot charts

Boxes and whiskers.

Data catalog

Track lineage, PII and Data Quality. Help your users find the data they need.

Data dependency management

Know you’re going to break dashboards before you remove a column from table.

Data source swapping

For GUI (non-SQL) questions.

Git-backed library

An easier way to manage centrally created Models, Metrics and Dashboards.

Improved data picker

Lighter, faster source picker in the query builder.

LLM-powered data extraction

Pull information out of unstructured data.

More dashboard improvements

Events in dashboards, drag cards from the sidebar, reduce manual resizing of elements, zoomed in card view, dashboard templates, and more.

Radar and Treemap Charts

For comparing multiple variables and hierarchical data.

Relative date expressions in SQL

More flexible filters.

Revamped models

More like tables, with faster UX, foreign key mapping, custom filter values, better persistence and more.

SQL editor improvements

Better ergonomics for day-to-day querying.

Coming in the next 6 months or so

Data warehouse cost insights

Know how much your queries cost, optimize (or kill) expensive queries.

Editable notification templates

Custom email and HTTP formats for alerts, subscriptions, webhooks, and more.

Granular sync controls

Configure regular sync behavior at the schema level.

Mandatory filters and partition support

Ensure all GUI queries use a given filter in order to support sharded tables or enforce smaller queries.

More fine-grained permissions

Query only via models, Edit collections.

Permissions debugger

As an Admin, troubleshoot and set more confident permission settings.

Tenant-based user management

Group your embedding users by the organizations they belong to, set permissions, seed collections, and overall streamline configuration with robust data segregation.

Upgraded status indication

Mark deprecated items, flag unhealthy data assets, set expiration dates, add comments and more.

Better control over auto-refresh

Pre-configured, more granular increments, better UI.

Dynamic goals

Define goals using other questions.

Enhanced pivot tables

Faster and more customizable.

More granular permissions

Create, edit, and use only models or metrics and more.

Multiple values in dashboard filters

For more interactive and flexible dashboards.

Parameterization controls in query builder queries

Define what can be parameterized, for control and query reuse.

Percent of total in table visualizations

No complex querying needed.

Pluggable charts

Bring your own chart type with a little Javascript.

Revamped PDF generation

Server-side generated PDFs for download and in subscriptions.

Separate left and right split y-axis settings

In line, bar, scatter and other charts.

User and instance attributes in parameters

Reference things like user.email or instance.timezone in your queries.

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Keep in mind these are non-exhaustive plans and subject to change. Plans are always clearer for the near future than far out. Features may not be available in all plans.

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