Gretel on Azure
Gretel + Google Cloud
Power Enterprise AI solutions with synthetic data from Gretel in Databricks
Build custom AI models in Databricks trained on safe, secure data at scale.
The first step to Enterprise AI begins here:
Contact sales to learn more about using Gretel with Databricks
Key Benefits
Is your ML/AI roadmap blocked by data sharing limitations or a lack of data?
Gretel solves for the most common data bottlenecks in machine learning—such as insufficient volume and quality of safe training data. Gretel’s workflow connector with Databricks makes it simple for enterprises to customize models in the Databricks platform using safe, secure synthetic data.
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Developers using Databricks for MLOps can use synthetic data to:
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Developers using Databricks for MLOps can use synthetic data to:
Augment your data with models that have been trained on billions of words.
Create synthetic versions of sensitive data with real world accuracy.
Meet privacy and data compliance requirements using synthetic data.
Generate customized scenarios for training models using conditional data generation.
Accelerate ML R&D and operationalization.
Seamless synthetic data workflow in Databricks
Databricks Resources
Resources to help you get started building with Gretel +Â Databricks
Get Started
Ready to try Gretel?
Make your job easier instantly.
Get started in just a few clicks with a free account.
Get started in just a few clicks with a free account.
- Join the Synthetic Data Community
Join our Discord to connect with the Gretel team and engage with our community.
- Read our docs
Set up your environment and connect to our SDK.