Software Alternatives, Accelerators & Startups

Anodot VS Datatron

Compare Anodot VS Datatron and see what are their differences

Anodot logo Anodot

Anodot is a real time analytics and automated anomaly detection system that discovers outliers in vast amounts of time series data and turns them into valuable business insights.

Datatron logo Datatron

Datatron automates the deployment, monitoring, governance, and validation of your machine learning models in scikit-learn, TensorFlow, Keras, Pytorch, R, H20 and SAS
  • Anodot Landing page
    Landing page //
    2023-08-01
  • Datatron Landing page
    Landing page //
    2023-02-11

Anodot videos

Anodot - Autonomous Business Monitoring

More videos:

  • Review - Quick Tour of the Anodot App
  • Review - The Evolution of Artificial Intelligence and Machine Learning (AI/ML) - Anodot

Datatron videos

Harish Doddi demos Datatron @SFNewTech on 1 Mar 2017 #SFNT @getdatatron

More videos:

  • Review - Virtual Records Management from Datatron

Category Popularity

0-100% (relative to Anodot and Datatron)
Monitoring Tools
100 100%
0% 0
Data Science And Machine Learning
Analytics
100 100%
0% 0
Data Science Notebooks
0 0%
100% 100

User comments

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What are some alternatives?

When comparing Anodot and Datatron, you can also consider the following products

Datadog - See metrics from all of your apps, tools & services in one place with Datadog's cloud monitoring as a service solution. Try it for free.

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.

Logz.io - Logz.io provides log analysis software with alerts, role-based access, unlimited scalability and free ELK apps. Index, search & visualize your log data!

MCenter - Machine Learning Operationalization

Sumo Logic - Sumo Logic is a secure, purpose-built cloud-based machine data analytics service that leverages big data for real-time IT insights

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.