Understand Data Freshness and Row Count Changes
SELECT users can now easily monitor freshness and row count changes across all their tables, with 365 days of history.
All the latest updates and improvements to SELECT.
SELECT users can now easily monitor freshness and row count changes across all their tables, with 365 days of history.
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.
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
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.
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
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 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 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.
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.
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
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.
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.
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.
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.
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.
Understand the cost and impact of Fivetran loading tables.
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.
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.
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.