Usage & Costs
The Usage & Costs screen shows what your Nexa platform is consuming on your data warehouse and what it costs. Use it to watch spend over time, compare against the prior period, and see which products or resources drive the bill. It lives at /usage-costs, and its content depends on whether Nexa is running on Databricks or Snowflake.
The units differ by platform: Databricks reports DBUs (Databricks Units) and USD; Snowflake reports credits.
Summary metrics
Section titled “Summary metrics”Four cards at the top summarize the selected time range, each with a trend versus the prior period of equal length.
| Card | Unit |
|---|---|
| Total DBU | DBUs consumed |
| Total Cost | USD |
| Avg Daily DBU | DBUs per day |
| Avg Daily Cost | USD per day |
| Card | Unit |
|---|---|
| Total Credits | Credits consumed |
| Compute Credits | Credits on compute |
| Cloud Services Credits | Credits on cloud services |
| Storage Credits | Credits on storage (with a data-transfer subtotal) |
Chart and breakdown
Section titled “Chart and breakdown”Both platforms offer an Overview tab (the Cost & Usage Graph) and a Product Breakdown tab, and both let you switch the chart between Bar and Line.
- Overview — a time series across the date range, stacked by resource type (JOBS, DLT, SQL, ALL_PURPOSE, MODEL_SERVING, VECTOR_SEARCH, and more). A DBU / Cost toggle switches the metric.
- Product Breakdown — a table ranking resource types by cost or DBU, with each type’s share of the total and its run count.
- Overview — a categorical bar of usage: Warehouse Usage, Serverless Usage, Cloud Services Usage, and Other Usage. Switch the Category selector to break down by Warehouse, User, Database, or Query Type and see the top consumers instead.
- Product Breakdown — a table of categories (or top consumers) by credits used and share; the consumer views also show a query count.
Filters
Section titled “Filters”Set the reporting window and scope from the Filters panel.
- Time Range — presets (Last 7 / 30 / 90 days) or explicit start and end dates.
- Granularity — Daily, Weekly, or Monthly.
- Attribution — All Resources, Nexa Managed Only, or Non-Nexa Only; plus a “Created by” tag filter.
- Product Filters — filter by resource type, workspace ID, compute type (Serverless / Classic), and usage type (Compute Time / GPU Time / Answer).
- Sync — pull yesterday’s usage, or backfill the last 7 days, on demand.
The default window is the last 30 days at daily granularity.
- Time Range — presets (Last 7 / 30 / 90 days) or explicit start and end dates.
- Category — chosen in the chart/breakdown: All Categories, Warehouse, User, Database, or Query Type.
Snowflake usage is read directly from Snowflake’s own usage data, so there is no manual sync step; granularity is daily.
Attributing cost to Nexa
Section titled “Attributing cost to Nexa”Because Databricks usage is tagged, the Attribution filter lets you separate spend that Nexa manages (Nexa Managed Only) from everything else in the workspace, and narrow further by the “Created by” tag. This is how you answer “what is Nexa costing us” versus total workspace spend.
On Snowflake, break down credits by Warehouse, User, Database, or Query Type to attribute consumption. Pointing Nexa workloads at dedicated warehouses or databases makes this attribution cleaner.
Related
Section titled “Related”- Pipelines and jobs — the workloads that generate most usage.
- Automations overview — automation runs are billed like other jobs.
- System settings — platform-level configuration.