Synthetic Test Data Factory
Struggling to get good test data without the hassle of dealing with anonymization and masking issues?
Create synthetic test data that closely matches real datasets using only their statistical properties.
With CloudTDMS, easily create realistic test data without taking it from production. Save money, reduce errors, speed up development, and keep your data safe.
How it works
Realistic Synthetic Test 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 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!
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.
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.
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.
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.
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.
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.