Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
CloudTDMS, your one stop for Test Data Management. Discover & Profile your Data, Define & Generate Test Data for all your team members : Architects, Developers, Testers, DevOPs, BAs, Data engineers, and more ...
Benefit from CloudTDMS No-Code platform to define your data models and generate your synthetic data quickly in order to get faster return on your “Test Data Management” investments.
CloudTDMS automates the process of creating test data for non-production purposes such as development, testing, training, upgrading or profiling. While at the same time ensuring compliance to regulatory and organisational policies & standards. CloudTDMS involves manufacturing and provisioning data for multiple testing environments by Synthetic Test Data Generation as well as Data Discovery & Profiling.
CloudTDMS is a No-code platform for your Test Data Management, it provides you everything you need to make your data development & testing go super fast!
Especially, CloudTDMS solves the following challenges :
-Regulatory Compliance
-Test Data Readiness
-Data profiling
-Automation
Description
Gretel provides privacy engineering solutions through APIs that enable you to synthesize and transform data within minutes. By utilizing these tools, you can foster trust with your users and the broader community. With Gretel's APIs, you can quickly create anonymized or synthetic datasets, allowing you to handle data safely while maintaining privacy. As development speeds increase, the demand for rapid data access becomes essential. Gretel is at the forefront of enhancing data access with privacy-focused tools that eliminate obstacles and support Machine Learning and AI initiatives. You can maintain control over your data by deploying Gretel containers within your own infrastructure or effortlessly scale to the cloud using Gretel Cloud runners in just seconds. Leveraging our cloud GPUs significantly simplifies the process for developers to train and produce synthetic data. Workloads can be scaled automatically without the need for infrastructure setup or management, fostering a more efficient workflow. Additionally, you can invite your team members to collaborate on cloud-based projects and facilitate data sharing across different teams, further enhancing productivity and innovation.
API Access
Has API
No
API Access
Has API
Yes
Integrations
Amazon Redshift
Yes
Amazon S3
Yes
Apache Cassandra
Yes
Dropbox
Yes
Elastic
Yes
GitHub
No
Google Drive
Yes
MongoDB
Yes
MySQL
Yes
Neo4j
Yes
Integrations
Amazon Redshift
No
Amazon S3
No
Apache Cassandra
No
Dropbox
No
Elastic
No
GitHub
Yes
Google Drive
No
MongoDB
No
MySQL
No
Neo4j
No
Pricing Details
Starter Plan : Always free
CloudTDMS has two plan categories :
- Individual plans : Starter (free), Pro (paid)
- Team plans : Business (shared platform) or Enterprise (dedicated platform)
No credit card required to kick-off. Starter Plan always for Free !
- Individual plans : Starter (free), Pro (paid)
- Team plans : Business (shared platform) or Enterprise (dedicated platform)
No credit card required to kick-off. Starter Plan always for Free !
Free Trial
Yes
Free Version
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Cloud Innovation Partners
Founded
2016
Country
United Kingdom
Website
www.cloudtdms.com
Vendor Details
Company Name
Gretel.ai
Founded
2019
Country
United States
Website
gretel.ai/
Product Features
Product Features
Data Labeling
Human-in-the-loop
No
Labeling Automation
No
Labeling Quality
No
Performance Tracking
No
Polygon, Rectangle, Line, Point
No
SDK
No
Supports Audio Files
No
Task Management
No
Team Collaboration
No
Training Data Management
No
Machine Learning
Deep Learning
No
ML Algorithm Library
No
Model Training
No
Natural Language Processing (NLP)
No
Predictive Modeling
No
Statistical / Mathematical Tools
No
Templates
No
Visualization
No