Simple pricing for scalable MLOps

Pay only for projects you’re actively working on. And get unlimited users on every paid plan.

Free
$0

1 active project

For individuals starting out with experiment tracking

  • 1 user
  • Unlimited archived projects
  • Unlimited experiments
  • Unlimited model versions
  • Unlimited logging hours
  • Artifacts tracking
  • 200 GB storage
Team
$150/month

per active project

For a single team developing models

Everything from Free Plan +
  • Unlimited users
  • Multiple table views and dashboards
  • Service accounts for CI/CD pipelines
  • Priority email and chat support
Scale
$450/month

per active project

For organizations with multiple teams that need access control

Everything from Team Plan +
  • Project-level access control
  • SSO/LDAP
  • Dedicated CSM
  • MLOps Engineer onboarding support
  • Support Level Agreement
Self-hosted
Custom
For organizations with unique security requirements

  • All the functionality from Scale Plan
  • Deployment on your own infrastructure or private cloud
  • Billed annually
Trusted by ML teams around the world

Compare plans
Free
$0
Team
$150/month
per active project
Scale
$450/month
per active project
Self-hosted
Custom
Users & Projects
Users
1
Unlimited
Unlimited
Unlimited
Active projects
1
Pay per project Pay per project
Custom
Archived projects
Unlimited
Unlimited
Unlimited
Unlimited
Features & Functionality
Runs
Unlimited
Unlimited
Unlimited
Unlimited
Custom views per project
1
5
Unlimited
Unlimited
Dashboards per project
1
5
Unlimited
Unlimited
Artifacts tracking checkmark checkmark checkmark checkmark
Project-level metadata checkmark checkmark checkmark checkmark
Model versions per project
Unlimited
Unlimited
Unlimited
Unlimited
Security & Compliance
Service accounts for CI/CD pipelines cancel checkmark checkmark checkmark
Project-level access control cancel cancel checkmark checkmark
SSO/LDAP
cancel cancel checkmark checkmark
Support
Email and chat
Standard
Priority
Priority
Priority
Dedicated CSM
cancel cancel checkmark checkmark
MLOps Engineer onboarding support
cancel cancel checkmark checkmark
Support Level Agreement
cancel cancel checkmark checkmark
Other
Storage
200 GB
200 GB
200 GB
N/A
Deployment
Cloud
Cloud
Cloud
Self-hosted
Start for FREE Try FREE for 14 days Try FREE for 14 days Chat with us

Your workflow is flexible. Your metadata management should be too.

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quote
“An important detail that we considered when we decided to choose Neptune is that we can invite everybody on Neptune, even non-technical people like product managers — there is no limitation on the users. This is great because, on AWS, you’d need to get an additional AWS account, and for other experiment tracking tools, you may need to acquire a per-user license.”
Gianmario Spacagna Director of AI at Brainly

What’s an active project? And other answers…

  • When setting up a workspace in Neptune, within that workspace, you can create multiple projects.

    A project typically represents a machine learning problem you solve, e.g., a demand prediction task, an image segmentation task, a recommender system, etc.

    A project can contain multiple experiment runs and model versions.

    Projects_in_Neptune

    Here’s a link to an example project within the Neptune app (this one is built around images segmentation task).

  • Active projects are editable. I.e., you can log new runs and metadata, register new models and model versions, query and download data from Neptune, etc. 

  • An archived project is just stored in Neptune, but you can’t edit it. You can only make edits by re-activating the project.

    All of the metadata contained within the project will remain accessible via API in read-only mode.

  • As many times as you like :). One thing to keep in mind, though, is that activating a project may take a few minutes.

  • Don’t worry, you can’t do that. When you set up your paid plan, you decide how many active projects you can have at any one time.

    When you max out on your number of available active projects, you can’t start a new one until you increase your quota.

  • Each workspace in Cloud (SaaS) plans comes with 200 GB of storage space.

    Storage limits don’t apply to Your Server (on-prem) plans.

  • You can easily top up your account by purchasing more storage space. Each additional package of 100 GB costs $10. But we can discuss your specific needs and offer discounts.  

    Alternatively, you can delete some old data to free up space within your current plan.  

    Your account will enter read-only mode until you purchase additional storage. You’ll still be able to view, analyze, and fetch your tracked metadata using the read-only connection mode. But you won’t be able to track new runs or upload new metadata without buying more storage space.

  • Absolutely not. Only the size of the metadata that you actually store in Neptune counts against your storage quota.

  • Logging hours refer to the time spent logging metadata to Neptune.

    You get unlimited logging hours on every plan. So you don’t need to pay attention to them.

    If you evaluate other experiment tracking tools besides Neptune, you may see they talk about tracked hours or training hours in their pricing plans. To make it easier for you to compare solutions – yes, all these terms mean more or less the same thing.

  • Neptune is currently hosted in the Google Cloud Platform’s data centers in the European Union.

  • Yes! You can deploy Neptune on your own servers. Check out the “Sel-hosted” plan above and the on-prem documentation.

    You can also take a look at our deployment options to learn more about the difference between SaaS and on-prem versions.

  • Whatever assistance you need, one of our friendly customer support team will be happy to help. That includes walking you through the setup, answering your product-related questions, debugging issues, or setting up an onboarding session for your new teammates.

  • Priority email and chat support mean that you can expect a response within 1 business day. Standard email and chat support mean that we address your questions as soon as possible. We do our best to provide a quick response, but the plans with priority and dedicated support have… well, priority.

Over 40,000 Data Scientists and ML Engineers use Neptune to effortlessly manage metadata