DataGroomr vs. Duplicate Check

While usability of a software solution includes meeting your business goals with completeness and accuracy, it also considers the overall user experience. How easy, pleasant or interesting is the product to use? How quickly can you satisfy your goals? Keep an eye out for usability with a demo or a free trial.

When working with a new dataset, a thorough data cleansing is always necessary due to the volume of duplicates. Duplicate Check offers functionality for detecting duplicates, but DataGroomr dives deeper into duplicates and provides a more thorough cleaning.

This is where the two products diverge significantly. Plauti Duplicate Check uses traditional matching rules, which requires configuration of matching settings field by field.

DataGroomr offers two methods: AI-based machine learning and classic matching rules. Your choice. DataGroomr’s sophisticated machine learning models identify duplicates with a high level of precision and recall. Trained on millions of records across a plethora of datasets, tests demonstrate superior results over “human-customizable filters.” But if you prefer more “human control,” DataGroomr allows you to create and train your own models – both machine learning-based models or a more traditional rules-based matching model.

DataGroomr’s pricing methodology is fully transparent and designed to support organizations as they grow – with a clear feature matrix and helpful pricing calculator on our pricing page.

Plauti highlights that their app includes unlimited users. However, most organizations expect their administrator to manage data quality and limit merging to a few experts, since merging removes records which can cause accidental data loss.

When comparing the prices, also take into consideration the “total cost” of each product, including the time and resources to set up, configure and use each product.