Software Alternatives & Reviews

H2O.ai VS Apache Airflow

Compare H2O.ai VS Apache Airflow and see what are their differences

H2O.ai logo H2O.ai

Democratizing Generative AI. Own your models: generative and predictive. We bring both super powers together with h2oGPT.

Apache Airflow logo Apache Airflow

Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.
  • H2O.ai Landing page
    Landing page //
    2023-10-25
  • Apache Airflow Landing page
    Landing page //
    2023-06-17

H2O.ai

Categories
  • Data Science And Machine Learning
  • AI
  • Machine Learning
  • Machine Learning Tools
  • Software Development
Website h2o.ai  
Details $

Apache Airflow

Categories
  • Workflow
  • Workflow Automation
  • Data Pipelines
  • ETL
  • Automation
Website airflow.apache.org  
Details $

H2O.ai videos

[Demo] Predicting Healthcare Outcomes with H2O.ai

More videos:

  • Review - H2O Just Add Water was the weirdest show...
  • Review - H2O wireless phone service full review 2019
  • Review - H2O Wireless:IS IT WORTH IT Review?
  • Review - H2O.ai VS. OBSERVE.ai: What The AI Race To Market Means
  • Review - H2O.ai Launches H2OGPT and LLM Studio: Build Your Own Enterprise Grade Chatbots

Apache Airflow videos

Airflow Tutorial for Beginners - Full Course in 2 Hours 2022

Category Popularity

0-100% (relative to H2O.ai and Apache Airflow)
Data Science And Machine Learning
Workflow Automation
0 0%
100% 100
AI
100 100%
0% 0
Web Service Automation
0 0%
100% 100

Questions and Answers

As answered by people managing H2O.ai and Apache Airflow.

What makes your product unique?

H2O.ai's answer

At H2O.ai, democratizing AI isn’t just an idea. It’s a movement. And that means that it requires action. We started out as a group of like minded individuals in the open source community, collectively driven by the idea that there should be freedom around the creation and use of AI.

User comments

Share your experience with using H2O.ai and Apache Airflow. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare H2O.ai and Apache Airflow

H2O.ai Reviews

Top 7 Predictive Analytics Tools
If a company is interested in an open-source predictive analytics tool with data mining features, put H2O at the top of the list. It offers fast performance, affordability, advanced capabilities, and extreme flexibility. The dashboard for H2O offers a veritable smorgasbord of actionable insights. However, this tool is more for the expert data science crowd than for citizen...
The 16 Best Data Science and Machine Learning Platforms for 2021
Description: H2O.ai offers a number of AI and data science products, headlined by its commercial platform H2O Driverless AI. Driverless AI is a fully open-source, distributed in-memory machine learning platform with linear scalability. H2O supports widely used statistical and machine learning algorithms including gradient boosted machines, generalized linear models, deep...

Apache Airflow Reviews

A List of The 16 Best ETL Tools And Why To Choose Them
Apache Airflow is an open-source platform to programmatically author, schedule, and monitor workflows. The platform features a web-based user interface and a command-line interface for managing and triggering workflows.
15 Best ETL Tools in 2022 (A Complete Updated List)
Apache Airflow programmatically creates, schedules and monitors workflows. It can also modify the scheduler to run the jobs as and when required.
Python & ETL 2020: A List and Comparison of the Top Python ETL Tools
When does Apache Airflow make sense? If you're performing long ETL jobs or your ETL has multiple steps, Airflow will let you restart from any point during the ETL process. That being said, Apache Airflows IS NOT a library, so it has to be deployed and may make less sense on small ETL jobs.
Source: www.xplenty.com
Comparison of Python pipeline packages: Airflow, Luigi, Gokart, Metaflow, Kedro, PipelineX
Not designed to pass data between dependent tasks without using a database. There is no good way to pass unstructured data (e.g. image, video, pickle, etc.) between dependent tasks in Airflow.
Source: medium.com

Social recommendations and mentions

Based on our record, Apache Airflow seems to be a lot more popular than H2O.ai. While we know about 65 links to Apache Airflow, we've tracked only 1 mention of H2O.ai. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

H2O.ai mentions (1)

  • Nginx is now the most popular web server, overtaking Apache
    How about H2O? It's supposed to be significantly faster than Nginx: https://h2o.examp1e.net/. - Source: Hacker News / almost 3 years ago

Apache Airflow mentions (65)

  • The 2024 Web Hosting Report
    For the third, examples here might be analytics plugins in specialized databases like Clickhouse, data-transformations in places like your ETL pipeline using Airflow or Fivetran, or special integrations in your authentication workflow with Auth0 hooks and rules. - Source: dev.to / about 1 month ago
  • Best ETL Tools And Why To Choose
    Apache Airflow is an open-source platform to programmatically author, schedule, and monitor workflows. The platform features a web-based user interface and a command-line interface for managing and triggering workflows. Source: 4 months ago
  • Simplifying Data Transformation in Redshift: An Approach with DBT and Airflow
    Airflow is the most widely used and well-known tool for orchestrating data workflows. It allows for efficient pipeline construction, scheduling, and monitoring. - Source: dev.to / 5 months ago
  • Share Your favorite python related software!
    AIRFLOW This is more of a library in my opinion, but Airflow has become an essential tool for scheduling in my work. All our ML training pipelines are ordered and scheduled with Airflow and it works seamlessly. The dashboard provided is also fantastic! Source: 6 months ago
  • Ask HN: What is the correct way to deal with pipelines?
    I agree there are many options in this space. Two others to consider: - https://airflow.apache.org/ - https://github.com/spotify/luigi There are also many Kubernetes based options out there. For the specific use case you specified, you might even consider a plain old Makefile and incrond if you expect these all to run on a single host and be triggered by a new file... - Source: Hacker News / 6 months ago
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What are some alternatives?

When comparing H2O.ai and Apache Airflow, you can also consider the following products

datarobot - Become an AI-Driven Enterprise with Automated Machine Learning

ifttt - IFTTT puts the internet to work for you. Create simple connections between the products you use every day.

TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.

Microsoft Power Automate - Microsoft Power Automate is an automation platform that integrates DPA, RPA, and process mining. It lets you automate your organization at scale using low-code and AI.

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

Make.com - Tool for workflow automation (Former Integromat)