Software Alternatives & Reviews

Predera VS Managed MLflow

Compare Predera VS Managed MLflow and see what are their differences

Predera logo Predera

A light-weight, composable, vertical machine learning operations engine for Healthcare, Retail, and CRMs, one-click scalable deployment, monitoring, governance, explainability

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.
  • Predera Landing page
    Landing page //
    2023-08-22

Everyday millions of machine learning models are built by analysts and data scientists everywhere, and only a few of them make it to production, and continue to provide value over time. At Predera we have built AIQ, an MLOps & monitoring engine to help Data Scientists with the tedious job of deploying and managing ML, by collecting and leveraging the rich semi-structured data created in the entire machine learning development life cycle.

AIQ is language agnostic, plugs into most popular machine learning (ML) libraries across cloud / on-premise to continuously monitor data, track model quality and provide real-time insights to manage robust, high quality machine learning applications.

  • Managed MLflow Landing page
    Landing page //
    2023-05-15

Predera

$ Details
freemium $999.0 / Monthly (1 project, 10 models, 5 users)
Platforms
Web Browser REST API
Release Date
2020 June

Predera videos

Predera AIQ - full ML life cycle to build data solutions

Managed MLflow videos

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Category Popularity

0-100% (relative to Predera and Managed MLflow)
Data Science And Machine Learning
AI
100 100%
0% 0
Data Science Notebooks
0 0%
100% 100
Machine Learning
28 28%
72% 72

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What are some alternatives?

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

Azure Machine Learning Studio - Azure Machine Learning Studio is a GUI-based integrated development environment for constructing and operationalizing Machine Learning workflow on Azure.

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.

cnvrg CORE - Free ML Platform for everyone

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.

Dataiku DSS - Dataiku's single, collaborative platform powers both self-service analytics and the operationalization of machine learning models in production.

Weights & Biases - Developer tools for deep learning research