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Managed MLflow VS cinnaroll.ai

Compare Managed MLflow VS cinnaroll.ai and see what are their differences

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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.

cinnaroll.ai logo cinnaroll.ai

Rapid & simple machine learning model deployment. Without Ops overhead. Unified, streamlined way of testing, experimenting, reviewing, selecting, deploying, monitoring and retraining ML models.
  • Managed MLflow Landing page
    Landing page //
    2023-05-15
  • cinnaroll.ai Landing page
    Landing page //
    2023-05-24

Category Popularity

0-100% (relative to Managed MLflow and cinnaroll.ai)

Managed MLflow

cinnaroll.ai

Data Science And Machine Learning
86 86%
Data Science And Machine Learning
14% 14
Data Science Notebooks
100 100%
Data Science Notebooks
0% 0
Machine Learning
83 83%
Machine Learning
17% 17
Machine Learning Tools
77 77%
Machine Learning Tools
23% 23

User comments

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What are some alternatives?

When comparing Managed MLflow and cinnaroll.ai, 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.

Iguazio - Iguazio is a platform that allows users to bring their data science to life, and it automates the MLOps with end-to-end machine learning pipelines while transforming AI projects into the real world.

Weights & Biases - Developer tools for deep learning research

Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.‎What is Apache Spark?

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.

Amazon SageMaker - Amazon SageMaker provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly.

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