Software Alternatives, Accelerators & Startups

MCenter VS Continual

Compare MCenter VS Continual and see what are their differences

MCenter logo MCenter

Machine Learning Operationalization

Continual logo Continual

Continual is the easiest way to build continually improving predictive models - from customer churn to inventory forecasts - directly on your cloud data warehouse.
  • MCenter Landing page
    Landing page //
    2021-08-03
  • Continual Landing page
    Landing page //
    2023-08-24

MCenter videos

MCenter MIS Macedonia

Continual videos

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Category Popularity

0-100% (relative to MCenter and Continual)
Data Science And Machine Learning
AI
0 0%
100% 100
Data Science Notebooks
100 100%
0% 0
Developer Tools
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Continual 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.

MCenter mentions (0)

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

Continual mentions (1)

  • Thoughts on SQL based auto-ML style tools
    Does anyone here use tools such as continual or postgresml? Basically ml on sql tools. Source: about 2 years ago

What are some alternatives?

When comparing MCenter and Continual, 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.

Lobe - Visual tool for building custom deep learning models

5Analytics - The 5Analytics AI platform enables you to use artificial intelligence to automate important commercial decisions and implement digital business models.

anon - Machine learning, automated

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

Evidently AI - Open-source monitoring for machine learning models