> For the complete documentation index, see [llms.txt](https://docs.feast.dev/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.feast.dev/getting-started/architecture/push-vs-pull-model.md). # Push vs Pull Model ## Push vs Pull Model Feast uses a [Push Model](https://en.wikipedia.org/wiki/Push_technology), i.e., Data Producers push data to the feature store and Feast stores the feature values in the online store, to serve features in real-time. In a [Pull Model](https://en.wikipedia.org/wiki/Pull_technology), Feast would pull data from the data producers at request time and store the feature values in the online store before serving them (storing them would actually be unnecessary). This approach would incur additional network latency as Feast would need to orchestrate a request to each data producer, which would mean the latency would be at least as long as your slowest call. So, in order to serve features as fast as possible, we push data to Feast and store the feature values in the online store. The trade-off with the Push Model is that strong consistency is not guaranteed out of the box. Instead, strong consistency has to be explicitly designed for in orchestrating the updates to Feast and the client usage. The significant advantage with this approach is that Feast is read-optimized for low-latency feature retrieval. ## How to Push Implicit in the Push model are decisions about *how* and *when* to push feature values to the online store. From a developer's perspective, there are three ways to push feature values to the online store with different tradeoffs. They are discussed further in the [Write Patterns](/getting-started/architecture/write-patterns.md) section. --- # 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 by asking a question. Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters: ``` GET https://docs.feast.dev/getting-started/architecture/push-vs-pull-model.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case. 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.