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Sep 22, 2025
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Remove unused elements from Glossary #411

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18 changes: 0 additions & 18 deletions getting-started-guide/glossary.mdx
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Expand Up @@ -83,12 +83,6 @@ Axiom’s datastore is tuned for the efficient collection, storage, and analysis

For more information, see [Datasets](/reference/datasets).

### Destination

To transform and route data from an Axiom dataset to a destination, you need to set up a destination. This is where data is routed. Once you set up a destination, it can be used in any flow.

For more information, see [Manage destinations](/process-data/destinations/manage-destinations).

## E

### Event
Expand Down Expand Up @@ -177,10 +171,6 @@ In Axiom, a query is a specific, structured request used to get deeper insights

Querying enables you to filter, manipulate, extend, and summarize your data.

{/*
As opposed to [searching](#search) which relies on sampling, querying allows you to explore all your event data. For this reason, querying is the modern way of making sense of your event data.
*/}

### Query-hours

When you run queries, your usage of the Axiom platform is measured in query-hours. The unit of this measurement is GB-hours which reflects the duration (measured in milliseconds) serverless functions are running to execute your query multiplied by the amount of memory (GB) allocated to execution. This metric is important for monitoring and managing your usage against the monthly allowance included in your plan.
Expand All @@ -195,14 +185,6 @@ Role-based access control (RBAC) allows you to manage and restrict access to you

For more information, see [Access](/reference/settings).

{/*
## S

### Search

Most observability solutions rely on search to seek information within event data. In contrast, Axiom’s approach is [query](#query). Unlike search that only gives you approximate results because it relies on sampling, a query is precise because it explores all your data. For this reason, querying is the modern way of making sense of your event data.
*/}

## T

### Threshold monitor
Expand Down