Enterprise IT / AI
Version Control & Experiment Tracking
What is Version Control & Experiment Tracking?
Experiment tracking vendors are creating platforms that promote collaboration by enabling teams to automatically track, log, and compare thousands of iterations of ML experiments. Utilizing these platforms, teams are able to keep records of changes made to training data, source code, and model parameters as well as track all ML-related metadata. Some vendors focus primarily on data version control (tracking changes made to data used in AI experiments), while others provide end-to-end experiment management.
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Leaders are the most established service providers in the market and possess the breadth to address various customer needs.
See why these companies made it as leaders for Version Control & Experiment Tracking. These companies include Pachyderm and Weights & Biases.
United States / Founded Year: 2014
Pachyderm offers data analytics for Docker, helping companies fully utilize what containerization has brought to the technology space.
Key People
Joey Zwicker, Joe Doliner
United States / Founded Year: 2017
Weights & Biases provides a developer-first MLOps platform that offers performance visualization tools for machine learning. Weights & Biases customers are developers. Weights & Biases was founded in 2017 and is based in San Francisco, California.
Key People
Chris Pelt, Lukas Biewald, Shawn Lewis, and 1 more
United States / Founded Year: 2017
Neptune is a platform built for data scientists to make machine learning models development fast and reliable. With Neptune data scientists can easily monitor, compare, track and reproduce their experiments and results. Neptune was founded in 2017 and is based in Palo Alto, California.
United States / Founded Year: 2018
Iterative offers DVC.org as an open source tool for data and models versioning for ML projects.
Known Customers
Key People
Ivan Shcheklein, Dmitry Petrov
Highfliers
Highfliers are the most innovative service providers in the market and possess the resources to address evolving customer needs.
See why these companies made it as highfliers for Version Control & Experiment Tracking. These companies include Comet and DoltHub.
United States / Founded Year: 2017
Comet provides a self-hosted and cloud-based meta machine learning platform allowing data scientists and teams to track, compare, explain, and optimize experiments and models.
Known Partners
Key People
Nimrod Lahav, Gideon Mendels, Rohit Gandhi
United States / Founded Year: 2018
DoltHub hosts Dolt databases. DoltHub adds a web interface, issues and pull requests to the Dolt ecosystem.
Key People
Timothy Sehn
Outperformers
Outperformers are the most specialized service providers in the market and possess the expertise to address unique customer needs.
See why these companies made it as outperformers for Version Control & Experiment Tracking. These companies include .
Challengers
Challengers are the most promising service providers in the market and possess the agility to address emerging customer needs.
See why these companies made it as challengers for Version Control & Experiment Tracking. These companies include .
What is Version Control & Experiment Tracking?
Experiment tracking vendors are creating platforms that promote collaboration by enabling teams to automatically track, log, and compare thousands of iterations of ML experiments. Utilizing these platforms, teams are able to keep records of changes made to training data, source code, and model parameters as well as track all ML-related metadata. Some vendors focus primarily on data version control (tracking changes made to data used in AI experiments), while others provide end-to-end experiment management.
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Your future customers are researching their next tech solution on CB Insights. Make sure they can find you.
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