MOSTLY AI vs. Informatica Test Data Management

As customer interactions shift from physical to digital spaces, there is a pressing need to evolve past conventional in-person discussions. Today, customers express their preferences and needs primarily through data. Understanding customer behavior and confirming our assumptions about them increasingly hinges on data-centric methods. Yet, the complexities introduced by stringent privacy regulations such as GDPR and CCPA make achieving this level of insight more challenging. The MOSTLY AI synthetic data platform effectively bridges this growing divide in customer understanding. This robust and high-caliber synthetic data generator caters to a wide array of business applications. Providing privacy-compliant data alternatives is just the beginning of what it offers. In terms of versatility, MOSTLY AI's synthetic data platform surpasses all other synthetic data solutions on the market. Its exceptional adaptability and broad applicability in various use cases position it as an indispensable AI resource and a revolutionary asset for software development and testing. Whether it's for AI training, improving transparency, reducing bias, ensuring regulatory compliance, or generating realistic test data with proper subsetting and referential integrity, MOSTLY AI meets a diverse range of requirements. Its extensive features ultimately enable organizations to adeptly navigate the intricacies of customer data, all while upholding compliance and safeguarding user privacy. Moreover, this platform stands as a crucial ally for businesses aiming to thrive in a data-driven world.

We help you discover, create, and personalize test data, while also facilitating the visualization of coverage and ensuring data security, so you can focus on your development tasks. Automate the creation of masked, customized, and synthetic data to meet your development and testing needs effortlessly. By applying consistent masking techniques across multiple databases, you can quickly identify locations of sensitive information. Improve the productivity of testers by effectively storing, expanding, sharing, and reusing test datasets. Deliver smaller datasets to reduce infrastructure requirements and enhance overall performance metrics. Utilize our wide array of masking techniques to guarantee uniform data protection across all applications. Support packaged applications to uphold the integrity of solutions and speed up deployment processes. Work in conjunction with risk, compliance, and audit teams to align efforts with data governance strategies seamlessly. Increase testing efficiency by leveraging reliable, trusted production data sets, all while decreasing server and storage requirements through appropriately sized datasets for each team. This comprehensive strategy not only optimizes the testing workflow but also strengthens your organization's data management practices, ultimately leading to more robust and secure development environments. Additionally, our approach encourages continuous improvement and innovation within your testing processes.