AI-backed Metabot
Get Metabot to do stuff for you.
Content localization
Customize item titles, column names and more in different languages.
DB-level sandboxing
Seamlessly support fully segregated tenants in a single instance.
Editable notification templates
Custom email and HTTP formats for alerts, subscriptions, webhooks, and more.
Organizations as central units in embedding
Group your users by their customers, set permissions, seed collections, and more.
Table-level native query permissions
Finer granularity than just DB-level.
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.
Better search
Faster, higher quality results.
Built-in partition support
In select databases.
Data source swapping
For individual GUI questions.
Enhanced pivot tables
Faster and more customizable.
Faster and lighter schema sync
On MongoDB, Snowflake, PostgreSQL and MySQL.
Filter UI improvements
Flows, widgets, defaults and more.
Multiple breakouts of the same field
New chart type: Sankey
And potentially more.
New visualization UI
Series from different DBs, more customization, more intuitive controls.
Percent of total calculations
Using custom expressions in the visual query builder.
Percent of total columns
No SQL needed.
Questions in dashboards
Use dashboards as folders for single-use questions, reducing clutter.
Redesigned custom expressions editors
Smoother, easier, more reliable.
Relative date expressions in SQL
More flexible filters.
AI-augmented metadata
Automatic semantic understanding of your data.
AI-based SQL troubleshooting
Less dealing with cryptic messages.
AI-generated dashboard summaries
Brief updates about what’s changed.
AI-supported custom expressions
Explain what you need, Metabot does it for you.
Branches and approvals
In-product review and change management across multiple items.
Bulk find-and-replace
Handle DB schema changes in Metabase in one go, across visual and native queries.
Data warehouse cost insights
Know how much your queries cost, optimize (or kill) expensive queries.
Google Sheets as a source
Ingest directly into your cloud DWH.
More fine-grained permissions
Query only via models, Edit collections.
Model improvements
Faster UX, foreign key mapping, custom filter values.
New Chart Type: Boxplot
Parameters in snippets
Ability to include parameters in SQL snippets.
SQL Editor improvements
Better ergonomics for day-to-day querying.
Separate left and right y-axis settings
Proper control for different scales.
Data quality monitoring
Understand the health of your models.
Productized REST API
Stable versioning, revamped documentation, and more.
Better maps
Plot more metrics, draw polygons, build heatmaps, and more.
Better table visualizations
More customizable (column width, word wrap, etc) and scrollable in dashboards.
CSV uploads and model caching in more databases
BigQuery, Snowflake, and more.
Dynamic goals
Define goals using other questions.
Filters in the body of dashboard
Get them close to what they’re filtering.
Granular sync control
Down to the table level and with API support.
Mobile-optimized dashboards
Get up to date when on the go.
More dashboard improvements
Events in dashboards, drag cards from the sidebar, reduce manual resizing of elements, zoomed in card view, dashboard templates, and more.
Pluggable charts
Bring your own chart type with a little Javascript.
Revamped timezone support
More control over timezone display and filtering across questions, dashboards and embeds.
Static card parameters
Hardcode parameters for individual questions in dashboards.
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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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