How to deploy and integrate the Syntho
Engine and generate synthetic data
Learn how Syntho simplifies secure and compliant synthetic data generation in just a few steps
Syntho typically deploys in the safe environment of our customers so that (sensitive) data never leaves the safe and trusted environment of the customer.
Connect to the source data and target environment with our out-of-the-box connectors. Syntho can connect with every leading database & filesystem and various database connectors and filesystem connectors.
Define the type of synthetization you would like to run, realistically mask or synthesize new values, and automatically detect sensitive data types.
Utilize and share the protected data securely, ensuring compliance and privacy are maintained throughout its usage.
Our platform is flexible, and deployable in any environment via docker-compose or Kubernetes.
Within our Syntho Engine, we offer seamless integration options: a user-friendly interface (“Syntho Web UI”) or integration into your pipeline through our “Rest API”. This flexibility ensures easy deployment in your preferred environment, without external connections.
Create and manage high-quality test data efficiently
Enhancing data privacy and compliance
Reduce manual effort in test data generation
Accelerate development and testing
Syntho typically deploys in the safe environment of our customers so that (sensitive) data never leaves the safe and trusted environment of the customer. This allows you to synthesize at the source where the original data is stored so that data never leaves your safe environment and that Syntho never sees, receives or processes any data.
Accordingly, the Syntho Engine and can be easily deployed and plugged into your environment of choice.
Syntho supports deployments via Docker-Compose and Kubernetes. Review our User Manual for the deployment instructions or contact our experts for questions related to deployment options.
Kubernetes Deployment
32GB-64GB-128GB
(based on expected data size)
12-20 virtual CPUs
(TBD based on expected data size)
128 GB disk storage
Application node
16 GB of RAM
4 virtual CPUs
30GB disk storage
Host OS
Any Linux OS (x86 / x64)
Kubernetes Deployment
Kubernetes: 1.20 and higher
(recommended via managed service)
helm: v3 and higher
kubectl installed
Ingress Controller installed on cluster
Docker Compose Deployment
Docker: 1.13.0+
Docker-compose: V3 and higher
Mimic (sensitive) data with AI to generate synthetic data twins
