# Key Features

* **Dataset Browsing and Creation**
  * Create datasets directly from connected cloud storages or platforms, allowing users to organize and analyze specific log data as needed.
  * Browse and explore datasets directly in the UI, with the option to view them in both raw and structured formats.
* **Searches & Schedule Searches**
  * Perform instant searches to analyze logs immediately.
  * Schedule searches with custom intervals, enabling automated queries at specified times.
* **SubSearches inside datasets and search results**
  * Perform subsearches inside existing search results or datasets.
* **Data Visualization & Dashboards**
  * Create charts and dashboards to visualize search results.
  * View column-level statistics for deeper insights.
* **Multi-Cloud Integration**
  * Connect directly to AWS S3, Azure Blob Storage, GCP Storage, or other cloud/on-prem object stores.
  * Fetch logs in real-time or from archives without complex setup.
* **Cross-Platform Search**
  * Integrate with external search platforms like Splunk and OpenSearch.
  * Combine search results from multiple platforms for unified log analysis.
* **Multi-Format Log Support**
  * Process logs in any format, including structured (JSON, CSV, etc.) or unstructured text.
  * Supports extraction of fields using regular expressions (regex), enabling users to view logs in a structured table format.
* **Archive Data Search**
  * Efficiently search historical or archived logs without migrating data.
  * Supports both ad-hoc and scheduled searches for recurring analysis.


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://supercloudnow.gitbook.io/supercloudnow-docs/undefined/introduction/key-features.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
