Laptop Displaying the GigaOm Research Portal

Get your Free GigaOm account today.

Access complimentary GigaOm content by signing up for a FREE GigaOm account today — or upgrade to premium for full access to the GigaOm research catalog. Join now and uncover what you’ve been missing!

Key Criteria for Evaluating Machine Learning Operations Solutionsv2.0

An Evaluation Guide for Technology Decision Makers

Table of Contents

  1. Summary
  2. MLOps Primer
  3. Report Methodology
  4. Decision Criteria Analysis
  5. Evaluation Metrics
  6. Key Criteria: Impact Analysis
  7. Analyst’s Take
  8. About Andrew Brust

1. Summary

In recent years, the market for machine learning operations (MLOps) has seen rapid growth as businesses seek support for becoming machine learning (ML) operational. MLOps solutions streamline model development, deployment, and governance to run large volumes of ML models, simplifying each phase of an ML project, as well as automating maintenance and operational procedures. They help enterprises avoid production pitfalls by ensuring that the models make it into production and perform well, which helps a project avoid delays, scale at a faster rate, reduce costs, and shorten time to value.

Adopting an MLOps solution not only helps businesses streamline the ML process and deploy models at a faster rate, it also helps deployed models continue to operate effectively and, if they don’t, ensures they are retrained or replaced by a better-performing model. This secures model reliability and accuracy and in return, assures that model predictions and resulting insights are well-founded.

This GigaOm Key Criteria report provides an overview of the MLOps market and details the capabilities (table stakes, key criteria, and emerging technology) and evaluation metrics for selecting an MLOps solution. The companion GigaOm Radar report identifes vendors and products that excel in those criteria and metrics. Together, these reports provide an overview of the category and its underlying technology, identify leading MLOps offerings, and help decision-makers evaluate these solutions so they can make a more informed investment decision.

How to Read this Report

This GigaOm report is one of a series of documents that helps IT organizations assess competing solutions in the context of well-defined features and criteria. For a fuller understanding, consider reviewing the following reports:

Key Criteria report: A detailed market sector analysis that assesses the impact that key product features and criteria have on top-line solution characteristics—such as scalability, performance, and TCO—that drive purchase decisions.

GigaOm Radar report: A forward-looking analysis that plots the relative value and progression of vendor solutions along multiple axes based on strategy and execution. The Radar report includes a breakdown of each vendor’s offering in the sector.

Solution Profile: An in-depth vendor analysis that builds on the framework developed in the Key Criteria and Radar reports to assess a company’s engagement within a technology sector. This analysis includes forward-looking guidance around both strategy and product.