# Which engine to use

Bumblebee support many engines with has specific features that can help you to process your data faster. Below is a table of features available in every engine, and a list of steps to select the engine that can help to process your data easily.

| Engine    | Out-of-Core | Cluster Support | CPU/GPU |
| --------- | ----------- | --------------- | ------- |
| Pandas    | No          | No              | CPU     |
| Dask      | Yes         | Yes             | CPU     |
| cuDF      | No          | No              | GPU     |
| Dask-cuDF | Yes         | Yes             | GPU     |
| Spark     | No          | Yes             | CPU/GPU |
| Vaex      | Yes         | No              | CPU     |
| Ibis      | Yes         | No              | CPU     |

Follow this steps to select the engine:

* Use pandas if your data fit comfortably in your local memory.
* Use cuDF if you have a GPU compatible with RAPIDS, and your data fits in memory.
* Use Vaex if your data do not fit in memory.
* Use a Dask/Dask-cuDF/Spark Cluster if you have one available.
* Use a service like Coiled to get a Dask/Dask-cuDF cluster on demand and pay for what you use.