Software Alternatives, Accelerators & Startups

Prefect.io VS Kedro

Compare Prefect.io VS Kedro and see what are their differences

Prefect.io logo Prefect.io

Prefect offers modern workflow orchestration tools for building, observing & reacting to data pipelines efficiently.

Kedro logo Kedro

An open-source framework for data science code
Not present
Not present

Category Popularity

0-100% (relative to Prefect.io and Kedro)
Data Pipelines
53 53%
47% 47
Workflows
100 100%
0% 0
Workflow Automation
0 0%
100% 100
Data Integration
100 100%
0% 0

User comments

Share your experience with using Prefect.io and Kedro. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare Prefect.io and Kedro

Prefect.io Reviews

Top 8 Apache Airflow Alternatives in 2024
Prefect, similarly to Airflow, is designed to help user orchestrate their workflows using Python. This service is web-based and could be easily set up with containerization tools, such as Docker, and deployed on the Kubernetes clusters. As a result, Prefect offers a high grade of scalability to its users, which might be of particular value to rapidly growing companies.
Source: blog.skyvia.com
10 Best Airflow Alternatives for 2024
Prefect blends the ease of the Cloud with the security of on-premises to satisfy the demands of businesses that need to install, monitor, and manage processes fast. It has helped businesses of all sizes realize the immediate financial benefits of being able to swiftly deploy, scale, and manage their processes. Unlike Apache Airflow’s heavily limited and verbose tasks,...
Source: hevodata.com

Kedro Reviews

5 Airflow Alternatives for Data Orchestration
Kedro provides a standardized project template, data connectors, pipeline abstraction, coding standards, and flexible deployment options, which simplify the process of building, testing, and deploying data science projects. By using Kedro, data scientists can ensure a consistent and organized project structure, easily manage data and model versioning, automate pipeline...
10 Best Airflow Alternatives for 2024
Add CLI Commands: Plugins can be used to insert extra CLI commands that will be reused across projects. Kedro plugins allow you to extend Kedro’s functionality and inject new commands into the CLI. Plugins are created as stand-alone Python packages that are explicit to any Kedro project.
Source: hevodata.com
Comparison of Python pipeline packages: Airflow, Luigi, Gokart, Metaflow, Kedro, PipelineX
Kedro enables you to define pipelines using list of node functions with 3 arguments (func: task processing function, inputs: input data name (list or dict if multiple), outputs: output data name (list or dict if multiple)) in Python code (an independent Python module).
Source: medium.com

What are some alternatives?

When comparing Prefect.io and Kedro, you can also consider the following products

Hall Monitor - Hall Monitor brings all your apps - Stripe, Shopify, Twitter, Instagram, and more - into unified automated reports, delivered to Slack or your inbox.

Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.

Dagster - The cloud-native open source orchestrator for the whole development lifecycle, with integrated lineage and observability, a declarative programming model, and best-in-class testability.

Luigi - Luigi is a Python module that helps you build complex pipelines of batch jobs.

AWS Step Functions - AWS Step Functions makes it easy to coordinate the components of distributed applications and microservices using visual workflows.

Metaflow - Framework for real-life data science; build, improve, and operate end-to-end workflows.