Highlights of what we’re cooking

Actively being built

Dependency Diagnostics

Visualize the dependencies in your Metabase instance and diagnose stale data or broken transforms, queries, or dashboard.

Semantic Layer

Consolidate different measures, metrics and data sources in one place.

SQL and Python generation

Vibe code your queries and data transformations

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.

Bulk Table Metadata curation

New UX that makes it easier to manage your table visibility, metadata, ownership in bulk.

Documents

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

Improved data picker

Lighter, faster source picker in the query builder.

Transforms

A better way to pre-compute Models using SQL or Python.

Planned for the next release or two

Agent API

Exposes our Semantic Layer, metadata and query execution to agents.

Data source swapping

For GUI (non-SQL) questions.

Multiple connections for Transforms

Use different connection strings to the same Database to separate writes (Transforms, Actions, etc) from normal querying (SQL, Agent or GUI).

Self-Hosted Metabot

Self-hosted packaging for Semantic Search + our Metabot agent.

Slack Metabot

Interact with Metabot via Slack.

Transform Inspector

Compare inputs and outputs of a transform.

Box+Whiskers Plot

Visualize your data using box and whiskers visualization.

Cohort Analysis

Assign cohort IDs and view cohort Metrics.

Metrics Viewer

Improved visualizer experience for Metrics with better comparisons, multi-metric viewing and simplified UI.

SQL-Generation

One-Shot SQL generation wired into the Native SQL editor.

Table + Schema parameterization of Transforms and Queries

Parameterize the input and output tables of queries and transforms of any kind (SQL, MBQL, Python).

Coming in the next 6 months or so

Data catalog

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

Data warehouse cost insights

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

Mandatory filters and partition support

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

Permissions debugger

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

Workspaces

Per-Agent isolated data warehouse spaces.

Better control over auto-refresh

Pre-configured, more granular increments, better UI.

Better search UX

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

Better setup process

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

Dynamic goals

Define goals using other questions.

LLM-powered data extraction

Pull information out of unstructured data.

More improvements to table viz

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

Redesigned admin UI

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

Relative date expressions in SQL

More flexible filters.

Better ergonomics for day-to-day querying.

More flexible filters.

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

Better ergonomics for day-to-day querying.

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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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