K2view Data Masking
5.4#7 in data de-identification toolsWebAPISelf-hosted
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| Fact | K2view Data Masking | MOSTLY AI |
|---|---|---|
| Deployment | Integrates data across cloud and on-premise environments and supports hybrid, multi-cloud, and inter-cloud use cases. | The platform can be deployed on Kubernetes or OpenShift, or installed via Minikube on a single VM. |
| Founded | 2009 | 2017 |
| Support | Assigns every customer a dedicated Customer Success Engineer for guidance on challenges and best practices. | Users can contact support by emailing [email protected]. |
K2view Data Masking is aimed at enterprises that need masked data for software testing, analytics, B2B data sharing, or AI. It may suit organizations working across multiple data sources and cloud or on-premise environments.
MOSTLY AI suits data teams that need synthetic datasets, including relational tables, or want to integrate generation through an API or Python client. Its deployment options also suit organizations seeking on-premises, private-cloud or air-gapped installation.