> For the complete documentation index, see [llms.txt](https://docs.kawa.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.kawa.ai/10_00_architecture.md).

# Architecture

This section describes the KAWA platform architecture — its core components, how they work together, and how KAWA connects to your data warehouse, storage, and source systems.

KAWA runs as a high-availability, horizontally scalable platform: an active-active backend control plane, a BPMN 2.0 workflow engine, sandboxed Python runners, and a pluggable warehouse and object-storage layer — encrypted in transit and at rest.

<div data-with-frame="true"><figure><img src="/files/CNeVV4BHAlQozDHk7Oe4" alt=""><figcaption></figcaption></figure></div>

*KAWA platform architecture — high-availability components, sandboxed execution, and end-to-end encryption.*

***

* [Data Lakehouse](/10_00_architecture/10_01_lakehouse.md)
* [Snowflake native connection](/10_00_architecture/10_02_snowflake_native_connection.md)
* [BigQuery native connection](/10_00_architecture/bigquery-native-connection.md)
* [KAWA Query cache](/10_00_architecture/10_03_query_cache.md)


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