stepwise guide to use, privacy is not compromised Review collected by and hosted on G2.com.

one needs good coding skills to debug error Review collected by and hosted on G2.com.

Mostly in library use its easy to use and minimum usage of time Review collected by and hosted on G2.com.

Too much data otherwise not much cons for this Review collected by and hosted on G2.com.

they say they have strong privacy guarantees Review collected by and hosted on G2.com.

its a big project to do on your own will most likely need a team to use

there is deffianly a learning curve Review collected by and hosted on G2.com.

appears to be an open-source framework that utilizes differential privacy to release aggregate information from sensitive datasets. By supporting standard operations such as filters, joins, and maps, and aggregations such as counts, averages, and quantiles, Tumult Analytics provides a way to analyze sensitive data while protecting individuals' privacy. Review collected by and hosted on G2.com.

In today's digital era, there is mounting awareness and apprehension regarding the issue of privacy and safeguarding data. Several entities, including individuals and organizations, are in search of means to protect valuable information without hampering their ability to derive comprehensive analysis from it. Review collected by and hosted on G2.com.

User Friendly and not at all complicated in terms of hands on. The intstructions are very basic for how to use Review collected by and hosted on G2.com.

Although its user friendly , but still you need to be a strong coder to use this, also I found the integration to the top public clouds has a bit of a struggle Review collected by and hosted on G2.com.

Releasing aggregate information from sensitive datasets with differential privacy. Robust, easy-to-use, scalable, and expressive

framework for differential privacy Review collected by and hosted on G2.com.

Not recommended for complex prototypes. Doesn't have a fast-forward approach. Lack of updated features and support materials which could have been used by users and admins to know the tool better. Review collected by and hosted on G2.com.

A leading framework for differential privacy - Tumult Analytics library is designed for performing aggregate queries on tabular data privately using Python. It utilizes the Tumult Core library as its foundation for secure and efficient computation. Review collected by and hosted on G2.com.

Despite the promise of ease-of-use, users can face a few unexpected bugs and difficulty completing simple interactions. Review collected by and hosted on G2.com.

Scalable

Extensible

Secure

Auditable

Powerful memory optimisation Review collected by and hosted on G2.com.

Not as robust as Databricks

Could have more language integration Review collected by and hosted on G2.com.