> For the complete documentation index, see [llms.txt](https://developer.harness.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://developer.harness.io/harness-cloud-operations/harness_data_architecture.md).

# Harness SaaS Data Architecture

![Harness services connected to transactional, analytical, cache, storage, and messaging data services](/files/bRDx0EHiFNItPOD9fTMj)

This diagram shows how Harness services use different data stores to manage data effectively.

MongoDB Atlas and Cloud SQL handle transactional and operational data. TimescaleDB and BigQuery support analytical data and dashboards. Debezium keeps data synchronized between systems. Enterprise Redis and Cloud MemoryStore act as caches to improve performance and scalability. Cloud Storage stores unstructured data, such as static assets and delegate or watcher binaries. Redis Streams supports publish-subscribe and asynchronous communication between microservices.