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The Prefrect way to automate my Data Pipelines
What do you like best about the product?
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.
The ability to access the Prefect cloud on any device and the configuration of Slack notifications is a Nice bônus.
What do you dislike about the product?
I wish I could define multiple schedules from a given deployment with different parameters.
What problems is the product solving and how is that benefiting you?
Ability to monitor, schedule and control the data workloads.
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Full functionality coupled with a nice interface
What do you like best about the product?
One of the standout features of Prefect is its user-friendly interface. Setting up and defining workflows is a breeze, thanks to its Pythonic syntax. The ability to define dependencies and schedule data flows is game changing. Easy to integrate with git as well to manage configurations.
What do you dislike about the product?
Setting up more complex workflows with intricate dependencies and conditions can require a deep understanding of Prefect's features and capabilities. Hopefully the learning curve decreases over time.
What problems is the product solving and how is that benefiting you?
Making our data flows faster and more reliable
Easy to use, easy to setup
What do you like best about the product?
The reliability so far has made scheduling small tasks a breeze.
What do you dislike about the product?
The somewhat lack of documentation about certain integration on their website.
What problems is the product solving and how is that benefiting you?
A rapport that usually needs to be manually run three times daily is now being emailed.
Data orchestration made easy
What do you like best about the product?
Easy to Setup and user-friendly interface. It is easier to get started quickly and create complex pipelines.
What do you dislike about the product?
It is hard to find the right documentation sometimes.
What problems is the product solving and how is that benefiting you?
Prefect aided us in orchestrating, executing and overseeing pipeliness effortlessly.
Review of workflow orchestration with Prefect
What do you like best about the product?
It has a great developer experience: I can develop my workflows in a jupyter notebook(including Colab). This allows me to do experiments before moving code that works in a Python script. Prefect blocks are another great feature which simplifies separating config from code.
What do you dislike about the product?
Some abstractions leak. I've had some challenges setting up a cloud-run push pool with access to on-prem DBs via a serverless VPC connector. The job template has an issue that I managed to fix after reading through Cloud Run REST API docs.
What problems is the product solving and how is that benefiting you?
Prefect has made scheduling, executing and monitoring data pipelines written in Python quite easy and low-maintenance. The hybrid model allows much flexibility in scaling execution infrastructure, allowing economical use of resources.
We were orchestrating pipelines in an afternoon
What do you like best about the product?
How easy it is for me to deploy existing python pipelines by just tagging the functions.
What do you dislike about the product?
Maybe I haven't figured out a way to do it but I don't fancy the worker listening all the time. I would appreciate to have it up when the pipeline is scheduled.
What problems is the product solving and how is that benefiting you?
Pipeline scheduling and orchestration.
Its intuitive and its very easy to set up and work with.
What do you like best about the product?
I been working with prefect to get pipelines up and running very fast. Simplicity is one of the best things of the tool. Its has a lot of integrations with cloud providers.
What do you dislike about the product?
Sometimes documentation is not clear, this only happened once. That time I ask their team in slack.
What problems is the product solving and how is that benefiting you?
Design and mainteincance of ETLs
If you want to minimise the production time for your data pipeline. Try Prefect!
What do you like best about the product?
I've been using Prefect for some time now, and I must say that it has truly revolutionized the way I manage and orchestrate data workflows. What I like best about Prefect is its exceptional flexibility and ease of use. Creating workflows is simple as it can ever be which reduces manual efforts to defining state as a separate component for orchestration.
What do you dislike about the product?
While Prefect offers many advantages, there are a few areas where it could see some improvement: I’ve noticed a steep learning curve for building pipelines using best practices. However, with such a growing community, I think this wouldn’t be a problem in the upcoming days. Another one I’ve experience is the resource usage when dealing with complex workflows. Users may need to carefully manage resource allocation to avoid any unexpected costs. But this is common across all other tools.
What problems is the product solving and how is that benefiting you?
Prefect has significantly improved our data workflow orchestration compared to our previous use of Apache Airflow. Before Prefect, Airflow presented several challenges:
1. Complexity: Airflow's complex configuration and DAG setup required substantial development effort and time.
2. Dependency Management: Managing task dependencies and handling dynamic workflows was cumbersome in Airflow.
3. Monitoring: Airflow's monitoring and alerting capabilities were limited, making it difficult to track and troubleshoot issues effectively.
4. Resource Management: Resource allocation was challenging, often leading to over-provisioning or bottlenecks.
With Prefect:
1. Simplified Workflow Management: Prefect's user-friendly interface and simplified task definitions have reduced our development time significantly.
2. Dependency Resolution: Prefect's intuitive dependency management system ensures tasks run in the correct order, eliminating errors and enhancing workflow reliability.
3. Robust Monitoring: Prefect's built-in monitoring and alerting features provide real-time visibility into workflow execution, allowing us to proactively address issues.
4. Resource Optimization: Prefect enables efficient resource allocation, preventing resource wastage and ensuring optimal workflow performance.
1. Complexity: Airflow's complex configuration and DAG setup required substantial development effort and time.
2. Dependency Management: Managing task dependencies and handling dynamic workflows was cumbersome in Airflow.
3. Monitoring: Airflow's monitoring and alerting capabilities were limited, making it difficult to track and troubleshoot issues effectively.
4. Resource Management: Resource allocation was challenging, often leading to over-provisioning or bottlenecks.
With Prefect:
1. Simplified Workflow Management: Prefect's user-friendly interface and simplified task definitions have reduced our development time significantly.
2. Dependency Resolution: Prefect's intuitive dependency management system ensures tasks run in the correct order, eliminating errors and enhancing workflow reliability.
3. Robust Monitoring: Prefect's built-in monitoring and alerting features provide real-time visibility into workflow execution, allowing us to proactively address issues.
4. Resource Optimization: Prefect enables efficient resource allocation, preventing resource wastage and ensuring optimal workflow performance.
Great for scheduled jobs, one-off runs and visibility!
What do you like best about the product?
Processes that need to be run on an ad-hoc or on demand basis are very easy for our semi technical staff to use, and debugging is much easier with Prefect!
What do you dislike about the product?
Layout of the site changes frequently which is confusing to some of our team members, handling queues in an unhealthy state is difficult at times.
What problems is the product solving and how is that benefiting you?
We had long running tasks that would sometimes stop running for hours and we didn't have visibility into the issue, or why it was happening. Using prefect has eliminated this issue for us! We've also been able to support new use cases (run this flow in 30mins etc).
A good data pipeline orchestration tool
What do you like best about the product?
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.
What do you dislike about the product?
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 :)
1. Its UI
2. The GraphQL
But since both changed in 2.x, I am happy for now :)
What problems is the product solving and how is that benefiting you?
We are able to make data pipelines faster and deliver the data seamlessly to our internal consumers.
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