Changelog

To give users more visibility on spend, we have added some new options to our Account Explorer. The spend view is now explicitly selectable from the dropdown at the top of the page and views now includes Usage Groups.

Built-in anomaly detection is now available in monitors, automatically accounting for seasonal spending patterns. This new feature ensures you’re alerted only to genuine anomalies, with customizable sensitivity to minimize false positives.

We added support for Cortex functions spend, allowing our customers to attribute and track Cortex functions spend by users, workload, warehouse and more.

While SELECT offers many types of monitors you can now use Custom SQL Monitors to get alerted on anything in your Snowflake account that can be returned by a SQL query.

To build more powerful alert and enable our users to be more responsive to costly changes, we have added our new expanded filtering experience to workload and organization spend monitors.

To let our customers update their Snowflake access credentials in SELECT, we’ve created our first API endpoint, and a way to create and manage API keys for your SELECT organization.

To give users more control over filtering data across the platform, we’ve expanded our site-wide filters with new options and operators.

Our lineage graph now shows views, stages, and streams, in addition to the tables and workloads that we were showing previously.

To help users better understand their storage costs and data usage patterns, we revamped our storage page by adding new dedicated views for databases, schemas and tables.

We’ve added support for reporting on costs and performance of Sigma workloads.

To help users understand their total data asset cost and better understand dependencies, we’ve extended our lineage feature to add first class support for Snowpipes and Dynamic Tables.

To help users more easily diagnose problematic workloads, we’ve added filters to workload monitors to give you more flexibility with what resources you get alerted on.

We’re excited to announce the release of data lineage to help users understand their total data asset cost, ensure ROI from their data products and ultimately optimize costs.

Staying on top of your Snowflake environment is challenging, with new workloads being added or changed each day. To help users stay on top of critical activity in their account, we've added the ability for users to configure workload monitors

To help users more easily manage their Usage Groups, we’ve added support for object tags. Automatically assign users, roles, warehouses, databases to Usage Groups based on any Snowflake object tag associated with that resource.

To help users get better visibility into key changes in their Snowflake account, we’ve rebuilt our monitors experience from the ground up.

The query profile is a source of invaluable information, but often hard to digest due to the amount of data available. In this release, we’ve re-designed it to make it easier to identify opportunities for optimization.

To help streamline these investigations, we're excited to announce the release of synchronized charts. Synchronized charts allow you to easily trends across multiple charts in order to quickly pinpoint root causes.

Users can now get an overview of spend by Usage Group on the home page, including a table with quick insights into the Usage Groups with the highest cost increases.

Usage group definitions can now be managed externally via the use of JSON or YAML configurations.

SELECT now enables you to track statistics about your users login and usage activity. Now you can identify which accounts are most active, or which are no longer active.

When sharing URLs from SELECT, dynamic date ranges (i.e. last 30 days) will be respected and re-calculated when re-opening the link.

Improved visibility into your SSO group mappings to SELECT users.

SELECT users can now easily monitor freshness and row count changes across all their tables, with 365 days of history.

Usage group definitions are now versioned, providing a history of changes and ability to restore from any point.

We've added new columns to help you better understand your Snowflake tables and storage optimization opportunities

Usage group updates are now tracked and can be restored from the version history.

Default roles are now available to simplify the process of assigning an initial role to new users who enter SELECT.

SELECT users can now filter all pages in SELECT by Usage Group to see insights and resources most relevant to them.

We've made it easier to query Usage Groups across all datasets in the data share

Understand dynamic tables performance and costs

View costs from Snowflake managed accounts

Create multiple sets of usage groups for different categorization needs

Assign storage costs to projects, teams, or departments

Analyze how the clustering health and column usage statistics in any table

Quickly explore your snowflake bill and easily understand what drove a change

We've added new capabilities to help you analyze workloads that read from or write to a given table.

Now get more insight into the freshness of your metadata in SELECT

Filtering workloads by tables accessed and modified now available

We built a brand new resource selector to make it easier to search and select resources throughout SELECT.

We'll now show whether automatic clustering is enabled or disabled on the tables page.

Understand task and stored procedure performance and costs

SELECT now provides tracking of Iceberg tables and their associated workloads

SELECT now shows table-level costs of search optimization

Usage group and role columns have been added on all top-level workload pages

SELECT now supports authentication with a service account with key-pair authentication

A brand new home page experience to surface key insights into your Snowflake usage and spend trends

A redesigned insights page to help you optimize your Snowflake usage

More insights to help you optimize your Snowflake usage

A new Insight designed to surface oversized warehouses in your Snowflake account.

SELECT users can now easily drill into and analyze their cloud services costs.

You can now assign roles in SELECT based on SSO group names.

Insights can now be dismissed in the event they aren't actionable.

You can now designate users in SELECT as Viewers, Editors or Admins.

Receive an update on Usage Group budgets through Monitors.

Analyze utilization, spend and efficiency across all clusters in your virtual warehouse.

Looker integration improvements achieve greater cost visibility and optimization opportunities.

Control costs by setting budgets for each Usage Group and forecast usage.

Deliver digests and alerts to multiple destinations using Monitors

We've released a new, dedicated Snowflake Organization section in SELECT and added support for organization-level Usage Groups.

Deliver digests and alerts by email using Monitors

See the average duration across all your BI dashboard runs

Receive notifications for spend across your entire Snowflake organization

View your Snowflake spend in your account currency

Understand who is using your dashboards

The storage tables page now includes a "Top Users" tab

The dbt runs chart can now be viewed at the per-run granularity

Users can now easily understand spend across all Snowflake accounts in their organization

Users can now export data from SELECT by downloading to a CSV or copying directly into a spreadsheet.

Our first steps towards a more flexible and general purpose Snowflake monitoring framework.

Collapse the sidebar in SELECT in order to view more data on your screen.

Added more filtering options for Looker dashboards and explores

Filter and slice by custom top-level keys you've set in your dbt query comment/tags.

Query acceleration costs are now attributed to individual queries and warehouses in SELECT.

You can now create Usage Groups containing Serverless resources or based on dbt/Looker query metadata.

You can now hide the chart on all pages in SELECT in order to get a fullscreen table.

Easily find tables and understand their consumption with our new schema and table name selectors.

Instantly discover Snowflake optimization opportunities & workloads deserving attention in SELECT.

Understand which workloads are querying a given table.

Quickly access & reuse frequently used views in SELECT.

We've added a new coloured bar component to our tables to help you quickly spot outliers and trends in your Snowflake account.

Easily understand how resources and workloads changed in the given period.

Access more columns to gain additional workload insights.

See when SELECT last synced your Snowflake metadata.

Programatically access any data you see in SELECT.

Get alerted when your daily Snowflake spend crosses a specified threshold.

Our Fivetran integration now supports specifying multiple Snowflake users used for Fivetran syncs.

Search workloads by name and understand their relative usage contributions.

Leverage Snowflake query metadata and user roles when defining usage groups.

Leverage Snowflake query metadata directly in the SELECT UI for enhanced cost attribution & understanding.

Understand the cost and performance of different Periscope assets.

Understand the cost and performance of different Hex assets.

Monitor costs across organizational units with Usage Groups.

Understand the cost and performance of different Mode assets.

Easily visualize key metrics like utilization efficiency across all warehouses.

Stay on top of your Snowflake bill and avoid surprises using Teams Spend Digests.

Easily monitor and forecast your Snowflake spend against your total contract capacity.

Easily identify which new workloads that shipped and how they contribute to spend.

A new setting to choose which workload tabs appear in your sidebar.

Easily understand which workloads contribute to the majority of your spend.

Understand the cost and impact of Fivetran loading tables.

Show data for the latest day even if it's not complete yet.

Understand costs and performance of each Looker Explore.

We've shipped a brand new dbt runs page and model timing chart to help users understand peformance bottlenecks in their DAGs.

Users can now request their account metadata sync to run on a custom schedule.

Users can now perform multi-account configuration such as enabling alerts across all Snowflake accounts they've connected to SELECT.

Users can now view data down to the hour in all timeseries plots available in SELECT.

Monitor and dissect automatic clustering and snowpipe costs with our new serverless workloads feature.

Improved interaction with multi-series charts through click to focus/hide.

Users can now easily connect additional Snowflake accounts without requesting orgadmin access.

Dig into individual query performance using the new query page overview and SELECT's own query profile.

Enhance query cost and performance monitoring, attribution and segmentation by tagging queries.

Understand the cost and performance of different Looker assets.

Improved capabilities for monitoring warehouse performance and understanding the impact of configuration changes.

Enhanced warehouse performance monitoring views to help determine the optimal warehouse size.

Further explore your Snowflake usage through sortable tables.

Streamline your filtering with searchable dropdown selectors.

Collaborate with teammates to understand or improve Snowflake costs and performance.

Stay on top of your Snowflake bill and avoid surprises using Slack Spend Digests.

Further drill into specific users and databases to understand why costs spiked.

Changing date grains now automatically adjusts the dates to only include complete periods.

See a full history and executions details for all runs of any dbt resource.

A new "change" column to help determine how workloads changed in a given period.