neptune.ai Pricing Overview

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Free Trial

Free (Cloud SaaS)

Free

For teams starting out with experiment tracking

Team (Cloud SaaS)

$50.00

1 User Per Month

For a single team developing models

Enterprise (Cloud SaaS)

For organizations with multiple teams that need access control

Custom (self-hosted)

For organizations with unique security requirements

Simple pricing for a scalable experiment tracker

neptune.ai has 4 pricing editions. A free trial of neptune.ai is also available. Look at different pricing editions below and see what edition and features meet your budget and needs.

Pricing information for neptune.ai is supplied by the software provider or retrieved from publicly accessible pricing materials. Final cost negotiations to purchase neptune.ai must be conducted with the seller.

Pricing information was last updated on October 09, 2024

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neptune.ai Alternatives Pricing

The following is a quick overview of editions offered by other MLOps Platforms

Weights & Biases Personal	Free1 User Per Month	Weights & Biases is free for personal projects. Unlimited Experiments Unlimited Tracked Hours 100 GB storage and artifacts tracking
Comet.ml Free	Free	LLM tracing Datasets and experiments LLM-as-a-judge metrics Unlimited Team Members 10k traces per month
Vertex AI Try Vertex AI Free	Pay As You GoPer Month	New customers get $300 in free credits to spend on Vertex AI. A unified UI for the entire ML workflow Pre-trained APIs for vision, video, natural language, and more End-to-end integration for data and AI Support for all open source frameworks End-to-end application development environment

Various alternatives pricing & plans

Free Trial

Pricing information for the above various neptune.ai alternatives is supplied by the respective software provider or retrieved from publicly accessible pricing materials. Final cost negotiations to purchase any of these products must be conducted with the seller.

neptune.ai Pricing Reviews

(2)

Jan S.

Senior Software Engineer

Mid-Market (51-1000 emp.)

6/6/2024

"reliable, affordable, gets the job done"

4/5

What do you like best about neptune.ai?

Neptune has great integration for several frameworks, which makes working with it seamless.

UI is uncluttered and usable. Review collected by and hosted on G2.com.

What do you dislike about neptune.ai?

Capabilities of creating dynamic plots are there but could be more sophisticated. Review collected by and hosted on G2.com.

Dario P.

ML Engineer

Enterprise (> 1000 emp.)

6/3/2024

"I´ve built an ML Platform with Neptune AI one of the key components (Model & Evaluation Store)"

4/5

What do you like best about neptune.ai?

Neptune AI covers all the needs of a Model Registry in an efficient way, thus, it can be a core part of the lifecycle of ML models within a platform.

It offers a user-friendly UI with which, in addition to being able to easily view the registered metadata associated with each execution, we can build more or less complex dashboards. On the user side, the API works in an easy, intuitive and flexible way, providing Data Scientists a simple way to interact with the projects from both script and Jupyters Noteboks.

About the installation, it is as simple as installing a Python package if you use the SaaS option. If you opt for something self-hosted it is a bit more complex but you will always have expert support.

Finally, the Neptune team always responds quickly, offering both mail support and call availability, although most of the time the doubts can be solved by consulting the documentation which is more than correct. Review collected by and hosted on G2.com.

What do you dislike about neptune.ai?

As I have mentioned in the benefits, the use of the Neptune API is very flexible, perhaps excessively flexible if used in a corporate environment since we could find metadata structured in different ways in different projects.

If this is a problem, as a company you may have to develop custom components on top of the Neptune AI API to adapt it to your specific needs and standardize the metadata registry. Review collected by and hosted on G2.com.

What problems is neptune.ai solving and how is that benefiting you?

We use Neptune AI as the centerpiece of the ML lifecycle when it comes to metadata logging and metrics associated with the model, so it works both as Model an Evaluation Store.

As Model Store it serves as a centralized repository where we manage all metadata and versions asociated to models, and for evaluation Neptune provides a clean interface that allow users to explore model evaluations if the metricts are correctly stored and analize the model performance over time. Review collected by and hosted on G2.com.