Dependency diagnostics
Visualize the dependencies in your Metabase and diagnose stale data or broken transforms, queries, or dashboards.
SQL and Python generation
Vibe code your queries and data transformations.
Semantic layer
Consolidate different measures, metrics, and data sources in one place.
Bulk table metadata curation
New UX that makes it easier to manage your table visibility, metadata, ownership in bulk.
Conditional background colors
Small but sweet - control the background of scalar cards.
Improved data picker
Lighter, faster source picker in the query builder.
Transforms
A better way to pre-compute Models using SQL or Python.
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 and whisker plots
New chart type!
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).
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.
SQL editor improvements
Better ergonomics for day-to-day querying.
User and instance attributes in parameters
Reference things like user.email or instance.timezone in your queries.
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