Simple pricing that scales with you

Start with free credits and scale up as your needs grow.

Developer

Get started with full features for synthetic data and privacy engineering.
Free
15 credits per month*
+ $3 per additional credit
Get started
Record processing
  • 273k+ Synthetic records, or
  • 5M+ Transformed records, or
  • 5M+ Classified records per month **
What's included
  • 4 concurrent jobs
  • Community support
  • Full API access
  • Essential connectors

Team

MOST POPULAR
Build synthetic data and privacy engineering into your development process.
$795
/mo
400 credits per month*
+ $2 per additional credit
Get started
Record processing
  • 7M Synthetic records, or
  • 134M Transformed records, or
  • 138M Classified records per month **
What's included
  • 20 concurrent jobs
  • Email support, 24hr response time
  • 99.5% API availability SLA ***
  • Premium connectors
  • Customized SSO setup
  • Everything in Developer

Enterprise

Standardize privacy engineering across your enterprise.
Let's talk
Customized pricing for big data use cases
Contact us
Why Enterprise?
  • Efficiently generate terabytes of synthetic data
  • Integrate into MLOps pipelines
What's included
  • Phone/Chat, 12hr response time for Email
  • Dedicated Customer Success Engineer
  • Everything in Team
* 1 credit is equal to 12 minutes of Cloud or 15 minutes of local API duration.
** Monthly record counts are estimates only. Values were estimated by load testing over 25,000 public datasets.
*** We use commercially reasonable efforts to maintain API availability.

Compare plans

Developer
Team
Enterprise

Record processing

Synthetic records, or
273k*
7M*
Let's talk
Transformed records, or
5M*
134M*
Let's talk
Classifications
5M*
138M*
Let's talk
* Record counts are estimates only. Values were estimated by load testing over 25,000 public datasets.

Features

Monthly credits
15
400
Let's talk
Full API access
Yes
Yes
Yes
Essential connectors
Yes
Yes
Yes
Premium connectors
No
Yes
Yes
Concurrent jobs
4
20
Many
Custom SSO
No
Yes

Support

Community support
Yes
Yes
Yes
Weekday email support
No
Yes
Yes
24/7 support
No
No
Yes
Dedicated Success Engineer
No
No
Yes

Frequently asked questions

Can’t find the answer you’re looking for? Contact our support.

What is a credit?

A credit is a simple unit measuring API call duration for cloud or local compute. 1 credit is equal to 12 minutes of cloud or 15 minutes of local API duration.

How are credits calculated?

Credit usage is based on the duration from the time you issue an API call until the point your tasks terminate, rounded up to the nearest minute. Each minute for API duration bills as either 1/12th of a credit for cloud compute, or 1/15th of a credit for local compute.

Do credits roll over?

Credits included in your subscription are reset each month and do not roll over.

How can I view my monthly usage?

Customers can view their API use including credits used and remaining in the console, at daily granularity. Gretel will automatically email customers when they have used 75% and 100% of their monthly subscription credits.

What if I go over my developer-tier free monthly credits?

If a customer has not entered credit card information, their service use will be suspended after all of the free monthly credits. Once a credit card is provided, usage will be metered and the customer will be charged for the total number of credits consumed at the end of a month, up to a maximum of 200 credits/$600.

How much data can an Gretel worker instance process per credit?

This answer varies based on the complexity and type of data. On a typical CSV dataset containing 156 characters per record and a mix of numeric and categorical data, a Gretel cloud instance is able to synthesize approximately 18k records per credit, including training. A Gretel cloud instance can transform approximately 337k records per credit, or classify 347k records when using a standard policy to redact or label personal data types.

How many Gretel worker instances can I run concurrently?

Gretel’s cloud and local on-premises workers are built to scale linearly, so you can scale concurrent containers to meet your needs. By default, each Developer account is limited to 4 concurrent workers, and Team accounts are limited to 20 concurrent workers. These limits are applied across the entire account and are not per user.

What connectors does Gretel offer?

We currently have object storage connectors for AWS (S3), GCP (Google Cloud Storage), and Azure (Blob Storage). We are also looking to build connectors for databases and other data sources. If there are any that would be particularly helpful to you, please reach out to hi@gretel.ai and let us know!

Make your job easier instantly.

Get started in just a few clicks.

Connect with the Gretel Community.

Join our Slack community to connect with the Gretel team and engage with our community.

Slack logo
Join gretelgroup.slack.com