Your synthetic data factory

With Synthetic Data, fuel your data-driven projects. Easily create realistic test data without taking it from production. Reduce costs, bugs and development time while protecting your company from data breaches

How it works

Realistic synthetic data

Tailored to your needs

In a minute, users can create and share test data that looks and behaves like real data without taking it from production.

Smart, not dummy

Instead of masking/changing production data, CloudTDMS learns data's structures and patterns to create smart test data from scratch.

Covering various data types, it allows the creation of test environments that act like real.

Safe, artificial data

avoid data breaches

Synthetic data is the only data you can safely share. No link can be made between artificial and real data.

Using synthetic data reduces the risk of data breaches while ensuring compliance with GDPR.

A no-code platform

to accelerate innovation

Define your data models and generate your synthetic data quickly. CloudTDMS automates the process of creating test data for non-production purposes such as development, testing, training, upgrading or profiling.

I could get exactly the test data I needed for my complex data models.

I saw a demo of CloudTDMS, it looked amazing, but I thought that it's just a demo ... When I started working with it, I realised I could get exactly the test data I needed for my complex data models, also for some reports we needed millions of records, and CloudTDMS just did it. Voila!

Imad B.

CEO at ANACAU

Make Data projects fully compliant with GDPR thanks to CloudTDMS.

One of the biggest challenges in any big-data project is being fully compliant with GDPR policy and getting realistic test data for developers & testers from all data sources. Now that we're leveraging CloudTDMS, we can generate realistic test data for all our dev/test use cases quickly and safely.

Faical T.

CTO at OpenBPO

An inexpensive and reliable option to Test Data Management.

We needed test data for complex systems that are being used by our clients and being migrated to cloud platform for analytical purpose. CloudTDMS helps us creating data to test our developed reports and verify our solutions in a more robust way instead of creating test data manually with few rows.

Mahaveer J. UK Flag

Senior Scrum Master at Dynamic Futures

IoT test data for Servicenow CMDB.

The key business problem we needed to solve was the simulation of test data for IoT and loading of these test data into ServiceNow. CloudTDMS was able to create realistic IoT data as well as loading it directly into ServiceNow CMDB. It was simple to generate test data based on predefined templates in addition to the possibility of using our IoT reference data.

Private

Enterprise Architect at Telecom company

Testing Big Data ETL processes for telecom services.

We have simulated data for many network systems and databases, Data profiling module on CloudTDMS was a real accelerator to create data models. Scheduling of data workflows is very easy as well. It's an effective No-code platform, so it's utilization was simple for all.

Said G.

Project Manager at Telecom company

Why should you use synthetic data ?

Speed & cost-effectiveness

CloudTDMS reduces the Time to Market, it frees time spent on creating test data and on reworks due to defects. Which can be used to focus.

Flexibility

As good as real data, synthetic data can be defined, made and shared in a minute. It could be the only solution when real data is rare or even not existing for new use cases.

Secure by design

100% compliant with GDPR and security policies, synthetic data can be used in the Cloud without exposing sensitive data because it's fully user-controlled and fake.

Healthcare

Insurance

IoT

Startups

Telecoms

Benefits

Features

Integrations

Why Synthetic Data

Synthetic Data Evolution

Knowledge Base

Changelog

About Us

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