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BigID alternative

Secuvy vs. BigID for data discovery

Manage your privacy compliance and risk with an efficient, automated, and integrated data discovery solution.

Data discovery is foundational for privacy and governance programs and services. Businesses need to know where and what types of sensitive and personal data they have, as well as the ability to respect and enforce consumer privacy choices on that information wherever it resides on the site.


Modern privacy programs require efficient and dynamic data discovery that flexibly connects to data sets, offers centralized control, and enables key privacy use cases to mitigate risk.

Looking for BigID competitors for data discovery and classification services?

Whatever data intelligence platform  you choose for your discovery and privacy compliance, make sure you check the box on these essential feature requirements below.

Move to a dynamic data discovery platform

BigID doesn’t cut it when it comes to data discovery. Here’s why.

First-generation data discovery platforms just don’t solve for modern-day requirements. Among the many challenges, first-generation data discovery software is:

Slow and cumbersome

Speed to data visibility and insights is essential for a modern business site. Traditional data discovery and classification scanning methods like BigID are slow to gather information, sometimes taking months or years to catalog data.

Complex and costly implementation

If you need a data discovery solution that is fast and easy to implement so that you comply with data privacy laws, don’t look to BigID. Customers complain about costly software and long implementation cycles. You’ll spend countless hours and cycles to get the tool working for your business’s unique needs.

Lacking agility and speed to innovation

As privacy management providers get larger, their ability to make dynamic shifts according to customer demands grows slower. BigID is no exception; despite being early to market, smaller providers like Ketch with better technology are catching up.