Prefect Reviews & Product Details

Prefect is flexible and works well with python code. The UI helps see what is going on. Review collected by and hosted on G2.com.

No python sdk support for automations. Not a lot of information available when flows crash. A bit too much dynamic magic with async functions that can run sync, tasks that can only be called directly in flow code, context functions that change depending on where they're called from, etc. Review collected by and hosted on G2.com.

It was easy to set up and manage, particularly for junior data engineers. Support is always a Slack message away. Prefect community make up for less Stack Overflow coverage on the tool. Great tutorials on Medium/YouTube. Responsive to user feedback and regular updates. Review collected by and hosted on G2.com.

Error messages sometimes aren't the most clear. Documentation could be improved. Terminology and concepts requires some getting used to. Review collected by and hosted on G2.com.

Its python-native, have a modern UI with a good debugging screen (especially against Airflow), supports the creation of dynamic workflows, and offers an easily manageable learning curve for newcomers. Review collected by and hosted on G2.com.

The Prefect's community, while growing, might not be as large as some other workflow management systems, leading to potentially fewer resources and examples available. Review collected by and hosted on G2.com.

The Logs for Flow Runs help you identify exactly where the problem lies which saves a lot debugging time. Prefect provides a seamless workflow for testing your code and logging the test results. Review collected by and hosted on G2.com.

Filtering through flow runs could be improved by adding more filters/search capability. I would prefer a filter for "My Flow Runs" to quickly access my flow runs. Maybe a search option with auto-populated tags related to the flow runs can help filter through the runs more efficiently. Review collected by and hosted on G2.com.

An easy way to automate my already built data pipelines just by adding some Python decorators and some Prefect Blocks.

The ability to access the Prefect cloud on any device and the configuration of Slack notifications is a Nice bônus. Review collected by and hosted on G2.com.

I wish I could define multiple schedules from a given deployment with different parameters. Review collected by and hosted on G2.com.

I started my career using Prefect so, Airflow became second orchestration tool I knew about. Prefect provides the flexible architecture to orchestrate our flow. Review collected by and hosted on G2.com.

The fact that Prefect 2 doesn't provide us the power to generate DAG. The visualization of the flow was helpful to us. Review collected by and hosted on G2.com.

I like that we can manage multiple versions of a pipeline and also depending on the deployment environment, but we can run some data jobs in the prefect instance itself. Review collected by and hosted on G2.com.

We are still using 1.x at the company, and I dislike

1. Its UI

2. The GraphQL

But since both changed in 2.x, I am happy for now :) Review collected by and hosted on G2.com.

They have made some things I did not like about orchestrators easy. I like the prebuilt flows and infrastructure blocks like git, docker, and ECS. I was able to get a docker container deployed locally super fast. Review collected by and hosted on G2.com.

Some of the documentation is challenging. There are not many resources to know exactly what you are doing. Someone like me who knows some tech but isn't a devops or engineer needs extra help to get some of these "easy to use" systems in place. Don't get me wrong, this is fantastic tech but is hard to grasp sometimes to get things up and running. Review collected by and hosted on G2.com.

- Simplicity of development code

- Integrations with AWS work clearly and easily

- Prefect 2 had a great improvement compared to v1

- Support team is fast and takes care of follow our doubts in details Review collected by and hosted on G2.com.

- The integration with DaskClusters needs to be improved

- The documentation is not so clear and has few practical examples

- The migration from v1 to v2 related to infrastructure was huge and maybe it was better to have minor changes rather than a major impact in the clients Review collected by and hosted on G2.com.

I like that you have a nice cloud and that you can run prefect easily in a local machine without too much configuration. The experience is awesome Review collected by and hosted on G2.com.

To run it in another place like aws or gcp it is still not so too easy. But in github actions you could deploy it nicely. Review collected by and hosted on G2.com.