> For the complete documentation index, see [llms.txt](https://v2.dataos.info/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://v2.dataos.info/build/v1/move/supported-sources-and-destinations.md).

# Supported sources and destinations

What you can move depends on the mode. Batch reaches the widest set of sources; CDC and streaming are narrower because they depend on the source exposing a change log or an event stream. This page is the quick map. For per-connector prerequisites, options, and YAML, follow the links into References.

## Sources by data movement type

### Batch

Batch reaches the widest set of sources: databases, warehouses, SaaS platforms, object storage, and message queues, including Snowflake, Databricks, PostgreSQL, MySQL, MS SQL Server, ClickHouse, AWS Redshift, Google BigQuery, Delta Lake, Salesforce, HubSpot, Stripe, Google Analytics, Google Sheets, and more. If a source isn't listed by name, use a [custom source](https://v2.dataos.info/references/resources/nilus/batch/batch-sources) instead.

See the full, current list in [supported batch sources](https://v2.dataos.info/references/resources/nilus/batch/batch-sources) in References. New connectors ship there first.

### Change data capture (CDC)

CDC supports 5 transactional sources, each needing source-side setup (a transaction log, binlog, oplog, or CDC tables):

PostgreSQL, MySQL, MongoDB, Microsoft SQL Server, IBM Db2.

See [supported CDC sources](https://v2.dataos.info/references/resources/nilus/cdc/cdc-sources) in References.

### Streaming

Streaming supports 2 brokers:

Apache Kafka (topic-based streams) and NATS JetStream (subject-based persistent streams).

See the [stream pipelines reference](https://v2.dataos.info/references/resources/nilus/stream/sample-configs) in References.

## Destinations

You configure the destination as a sink, addressed through a Depot:

| Destination group | Targets                                   |
| ----------------- | ----------------------------------------- |
| DataOS Lakehouse  | AWS-backed, Azure-backed, GCP-backed      |
| Cloud warehouses  | BigQuery, Databricks, Redshift, Snowflake |
| Databases         | MongoDB, Microsoft SQL Server, PostgreSQL |

See [supported destinations](https://v2.dataos.info/references/resources/nilus/destinations) in References.

## Cross-cutting behavior

These apply across all types of data movement and are documented once in References:

* [Schema evolution](https://v2.dataos.info/references/resources/nilus/concepts/schema-evolution): how Nilus handles new columns and type changes.
* [Data masking](https://v2.dataos.info/references/resources/nilus/concepts/understanding-data-masking): mask or redact columns during movement. Masking is a handling policy, not a transform; it stays compatible with Move.

If your source is not listed for the type you need, use Batch with a [custom source](https://v2.dataos.info/references/resources/nilus/batch/batch-sources), or land the data with the type the source does support.


---

# 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://v2.dataos.info/build/v1/move/supported-sources-and-destinations.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.