pricing
Free to start. Scales with you.
No credit card required at sign up.
Monthly Billing
Yearly Billing
Startup
Ideal for early-stage startups building with AI
Special offer
Talk to us.svg)
All core features
Free credits towards Pro tier
Premium support
Developer
For hobby projects and experiments
Free
Get startedAll core features
10,000 rows / month
1GB snapshots
3 Projects
2 Seats
Community support
Pro
For teams that run production AI systems
$100/month
Get startedAll core features
100,000 rows / month
100 GB snapshots
10 Projects
5 Seats
Email support
Additional:
$10 per 10,000 rows/month
$1 per GB snapshots stored
$10 per 10,000 rows/month
$1 per GB snapshots stored
Enterprise
For companies managing AI at scale
Custom
Talk to usCustom limits
Custom SSO
Custom roles
Audit logs
Private cloud
Premium support
Startups
Ideal for early-stage startups building with AI
Special offer
Talk to usAll core features
Free credits towards Pro tier
Premium support
Developer
For hobby projects and experiments
Free
Get startedAll core features
10,000 rows / month
1GB snapshots
3 Projects
2 Seats
Community support
Pro
For teams that run production AI systems
$80/month
Get startedAll core features
100,000 rows / month
100 GB snapshots
10 Projects
5 Seats
Email support
Additional:
$10 per 10,000 rows/month
$1 per GB snapshots stored
$10 per 10,000 rows/month
$1 per GB snapshots stored
Enterprise
For companies managing AI at scale
Custom
Get startedCustom limits
Custom SSO
Custom roles
Audit logs
Private cloud
Premium support
comparison
See which is the best price plan for you
Plan
Developer
Free
Pro
$100 /month
Enterprise
Custom
Deployment
Evidently Cloud
Evidently Cloud
Private Cloud Option
Usage
Number of rows
10,000 / monthly
100,000 / monthly
Custom
Additional rows
$10 per 10,000
Custom
Local evaluations
Unlimited
Unlimited
Unlimited
Snapshot storage
1 GB
100 GB
Custom
Additional storage
$1 per 1GB
Custom
Features
Local evaluations
Cloud evaluations
Custom dashboards
Monitoring
Alerting
Email, Slack, Discord
Email, Slack, Discord
Custom
Evaluations (100+ metrics)
Generative AI quality
Predictive ML quality
Data quality and drift
Custom metrics
Workspace
Projects
3 Projects
10 Projects
Custom
Users
2 seats
5 seats
Custom
Role-based access control
Standard roles
Standard roles
Custom roles
Single sign-on
Google
Google
Okta, SAML
Activity logs
Support
Channels
Community
Email
Premium support
SLA
Training
Add-on
faq
Frequently Asked Questions
Deployment
How do I send data to Evidently Cloud?
You can use Evidently Cloud in two ways:
Directly upload raw data or send traces: send inputs and outputs of your AI system (text, tabular data, or embeddings) to Evidently Cloud, or use Tracing to instrument your app. Here, we charge based on the number of rows stored and processed. Retention policies apply.
Run evaluations locally: use the Python SDK to run checks in your environment on local datasets and upload only the results (JSON snapshots). You can evaluate millions of rows this way: if you don't upload raw data, we only charge by the total GB volume of snapshots stored.
You can combine both methods.
Directly upload raw data or send traces: send inputs and outputs of your AI system (text, tabular data, or embeddings) to Evidently Cloud, or use Tracing to instrument your app. Here, we charge based on the number of rows stored and processed. Retention policies apply.
Run evaluations locally: use the Python SDK to run checks in your environment on local datasets and upload only the results (JSON snapshots). You can evaluate millions of rows this way: if you don't upload raw data, we only charge by the total GB volume of snapshots stored.
You can combine both methods.
Can I get a trial of the enterprise version?
Yes, contact us to learn more about the enterprise version trial.
Usage limits
What are rows and snapshots?
Row is a row of data (e.g., inputs-output pair for a generative or predictive system) uploaded to Evidently Cloud. You can analyze, monitor and view raw data in the web interface.
Snapshot is a JSON file with aggregated data summaries and evaluation results for a specific period. If you upload only snapshots, you can view interactive reports, plot metrics, and get alerts. However, you cannot view the original raw data (individual predictions or conversations).
Snapshot is a JSON file with aggregated data summaries and evaluation results for a specific period. If you upload only snapshots, you can view interactive reports, plot metrics, and get alerts. However, you cannot view the original raw data (individual predictions or conversations).
What is the size of one snapshot?
The exact snapshot size depends on the metrics, tests, columns, and rows in the dataset. You can use the Evidently Python library to generate sample snapshots and estimate their size.
For example:
Data drift report for 50 columns and 10,000 rows: ~1MB
Data drift report for 100 columns and 10,000 rows: ~3.5MB
Data drift report for 100 columns and 100,000 rows: ~9MB
Sizes vary based on metrics used, so it's best to perform your own sizing.
For example:
Data drift report for 50 columns and 10,000 rows: ~1MB
Data drift report for 100 columns and 10,000 rows: ~3.5MB
Data drift report for 100 columns and 100,000 rows: ~9MB
Sizes vary based on metrics used, so it's best to perform your own sizing.
What happens if I go over the limit?
If you are on a free tier and hit the data row limits, you will need to upgrade to continue using the tool. If you exceed your snapshot storage limits, you can either upgrade, or delete existing data to continue.
If you are on a paid tier, you will be billed according to your pricing plan.
If you are on a paid tier, you will be billed according to your pricing plan.
Features
What are local evaluations?
You run local evaluations on your infrastructure using the Evidently Python library.
For example, you can pass a data batch and run regression tests during CI/CD processes. You can then send the evaluation results (JSON snapshots) to Evidently Cloud.
Local evaluation runs don’t count towards the monthly row limit; they only contribute to the snapshot storage.
For example, you can pass a data batch and run regression tests during CI/CD processes. You can then send the evaluation results (JSON snapshots) to Evidently Cloud.
Local evaluation runs don’t count towards the monthly row limit; they only contribute to the snapshot storage.
What type of predictive ML tasks do you support?
We support all types of predictive ML tasks, with dedicated presets for classification, regression, recommendation systems, and ranking. Evidently works with text, tabular data, and embeddings.
What type of generative AI tasks do you support?
We support LLM-powered use cases such as chatbots, summarization, information extraction, RAGs, and AI-powered assistants. Evidently works with any input-output of a generative system, so you can adapt it to any case.
Is Evidently open-source?
Yes, the Evidently Python library is open source under the Apache 2.0 license, suitable for individual users and small teams, or teams with infrastructure knowledge to self-host. To start with Evidently open-source, check the documentation.
Evidently Cloud builds on the open-source version with additional features for larger teams and enterprises, including a no-code interface, alerting integrations, and user management.
Evidently Cloud builds on the open-source version with additional features for larger teams and enterprises, including a no-code interface, alerting integrations, and user management.
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