Software Alternatives & Reviews

MCenter VS Caylent

Compare MCenter VS Caylent and see what are their differences

MCenter logo MCenter

Machine Learning Operationalization

Caylent logo Caylent

Fully managed Docker Swarm in your own cloud.
  • MCenter Landing page
    Landing page //
    2021-08-03
  • Caylent Landing page
    Landing page //
    2023-06-21

MCenter videos

MCenter MIS Macedonia

Caylent videos

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Category Popularity

0-100% (relative to MCenter and Caylent)
Data Science And Machine Learning
Developer Tools
0 0%
100% 100
Machine Learning Tools
100 100%
0% 0
Mobile App Dev Platform
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Caylent 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.

Caylent mentions (1)

  • To anyone who started own business using AWS without much knowledge, how did you get periodically feedback or guidance for your AWS architecture to make sure that you are on the right direction?
    I'm VP of Cloud at AWS Premier Consulting Partner, Caylent, and we help startups get going in the cloud all the time. AWS has a number of different funding programs for startups, even to fund consulting partner engagements. Source: over 1 year ago

What are some alternatives?

When comparing MCenter and Caylent, 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.

Nomad Project - Easily deploy applications at any scale.

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.

AppHub Deploy - Update React Native apps without re-submitting to Apple

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

DeployBot - Push. Build. Deploy! Instantly build and ship code anywhere in one consistent process for your entire team.