> For the complete documentation index, see [llms.txt](https://documentation.dnanexus.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://documentation.dnanexus.com/developer/api/introduction-to-data-object-classes.md).

# Data Object Classes

The DNAnexus API includes multiple data object classes, each with their own set of API methods.

* [Records](/developer/api/introduction-to-data-object-classes/records.md) (`record-xxxx`): for storing only the standard metadata that is common to all data objects
* [Files](/developer/api/introduction-to-data-object-classes/files.md) (`file-xxxx`): for storing a flat file (an opaque array of bytes)
* [Databases](/developer/api/introduction-to-data-object-classes/databases.md) (`database-xxxx`): for representing Spark databases on the platform
* [DBClusters](/developer/api/introduction-to-data-object-classes/dbclusters.md) (`dbcluster-xxxx`): for representing relational databases on the platform

The remaining classes of data objects are both executables and are described in later sections under [Running Analyses](/developer/api/running-analyses.md):

* [Applets](/developer/api/running-analyses/applets-and-entry-points.md) (`applet-xxxx`): an executable that can be used to perform data analysis on other data objects in the cloud
* [Workflows](/developer/api/running-analyses/workflows-and-analyses.md) (`workflow-xxxx`): an executable that stores metadata about other executables that form a workflow or pipeline of data analysis to be performed

All data objects also have the API methods described in the earlier section on [Data Object Metadata](/developer/api/introduction-to-data-object-metadata.md).


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## 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, and the optional `goal` query parameter:

```
GET https://documentation.dnanexus.com/developer/api/introduction-to-data-object-classes.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

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.
