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Managed MLflow VS Seldon

Compare Managed MLflow VS Seldon and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Managed MLflow logo Managed MLflow

Managed MLflow is built on top of MLflow, an open source platform developed by Databricks to help manage the complete Machine Learning lifecycle with enterprise reliability, security, and scale.

Seldon logo Seldon

Seldon increases engagement and revenue by providing a smarter personalised user experience.
  • Managed MLflow Landing page
    Landing page //
    2023-05-15
  • Seldon Landing page
    Landing page //
    2023-09-26

Managed MLflow videos

No Managed MLflow videos yet. You could help us improve this page by suggesting one.

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Seldon videos

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Seldon Deploy: Machine Learning Model Production on Kubernetes

More videos:

  • Review - Seamless MLOps with Seldon and MLflow
  • Review - Karla Seldon Review AKA Karla and the Next Level Band

Category Popularity

0-100% (relative to Managed MLflow and Seldon)

Managed MLflow

Seldon

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Data Science Notebooks
66 66%
Data Science Notebooks
34% 34
Data Dashboard
0 0%
Data Dashboard
100% 100
Machine Learning
100 100%
Machine Learning
0% 0

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Managed MLflow and Seldon

Managed MLflow Reviews

We have no reviews of Managed MLflow yet.
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Seldon Reviews

  1. Model Management done well even for custom model servers even for very large predictions.
    🏁 Competitors: Algorithmia

Social recommendations and mentions

Based on our record, Seldon seems to be more popular. It has been mentiond 1 time since March 2021. 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.

Managed MLflow mentions (0)

We have not tracked any mentions of Managed MLflow yet. Tracking of Managed MLflow recommendations started around Mar 2021.

Seldon mentions (1)

  • Developer Relations Explained
    Seldon does neither of those. In fact, if you work at one of those AI startups there's a good chance you've heard of Seldon because what we do is provide tools for people who do AI. - Source: dev.to / almost 3 years ago

What are some alternatives?

When comparing Managed MLflow and Seldon, you can also consider the following products

Algorithmia - Algorithmia makes applications smarter, by building a community around algorithm development, where state of the art algorithms are always live and accessible to anyone.

Datatron - Datatron automates the deployment, monitoring, governance, and validation of your machine learning models in scikit-learn, TensorFlow, Keras, Pytorch, R, H20 and SAS

Weights & Biases - Developer tools for deep learning research

Digital.ai - Digital.ai is an intelligent value stream management software platform for digital enterprises and application delivery teams.

neptune.ai - Neptune brings organization and collaboration to data science projects. All the experiement-related objects are backed-up and organized ready to be analyzed and shared with others. Works with all common technologies and integrates with other tools.

MLOps - MLOps is a software platform that enables companies to manage AI production.

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