Syntho Engine Deployment and Integration

How to deploy and integrate the Syntho
Engine and generate synthetic data

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End-to-End Integration

Learn how Syntho simplifies secure and compliant synthetic data generation in just a few steps

End-to-End Integration
01
Deploy in your environment

Syntho typically deploys in the safe environment of our customers so that (sensitive) data never leaves the safe and trusted environment of the customer. 

02
Connect to your database

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.

03
Generate your data

Define the type of synthetization you would like to run, realistically mask or synthesize new values, and automatically detect sensitive data types.

04
Share/Use the protected data

Utilize and share the protected data securely, ensuring compliance and privacy are maintained throughout its usage.

High-level deployment architecture

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.

High-level deployment architecture

Save your Test Data Management Guide

Create and manage high-quality test data efficiently

Enhancing data privacy and compliance

Reduce manual effort in test data generation

Accelerate development and testing

Privacy Policy

Seamless deployment in your environment

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.

Seamless deployment in your environment

Hosting and data access
requirements

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.

Hardware requirements
Node 1

Kubernetes Deployment 

  • 32GB-64GB-128GB 

    (based on expected data size)

  • 12-20 virtual CPUs

    (TBD based on expected data size)

  • 128 GB disk storage

Node 2

Application node

  • 16 GB of RAM

  • 4 virtual CPUs

  • 30GB disk storage

Host OS

  • Any Linux OS (x86 / x64)

Software requirements

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

Explore more resources

Mimic (sensitive) data with AI to generate synthetic data twins

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GuidesGuides
Quality Assurance Report

BlogBlog
Top 10 Data Masking Tools: an In-Depth Look at the Current Market

Explore and compare the top 10 data masking tools with Syntho. Choose the right tool for your needs to enhance data security and compliance.

BlogBlog
Evaluating Utility and Resemblance in Synthetic Data Generators: A Technical Deep Dive and Comparative Analysis

Comparing Syntho’s performance with open-source synthetic data generators: Which offers superior results? Dive into our benchmarking analysis to find out.

All resources