Databuck

RATING:

4.8

(6)
Overview

About Databuck

DataBuck is most useful when you need to validate and reconcile data autonomously using AI/ML algorithms. It is designed for big data volume and cloud data sources. DataBuck identifies unknown errors and eliminates data quality risks. Some use cases of DataBuck include data validation, reconciliation, and data quality control.
Autonomous Data Trust Score

Databuck Reviews

Overall Rating

4.8

Ratings Breakdown

Secondary Ratings

Ease-of-use

5

Customer Support

4.5

Value for money

5

Functionality

4.5

Most Helpful Reviews for Databuck

6 Reviews

Rakesh

Banking, 10,000+ employees

Used daily for less than 2 years

Review Source: Capterra

OVERALL RATING:

5

EASE OF USE

5

VALUE FOR MONEY

5

CUSTOMER SUPPORT

5

FUNCTIONALITY

5

Reviewed May 2023

Databuck Data Quality Solution

A very powerful yet affordable solution which can be deployed with relative ease, without the need for additional development to cater for various business requirements. The technical and management teams are very responsive.

PROS

The application is light-weight yet able to process an enormous amount of data in very short time.

CONS

Some of the cosmetic aspects of the user interface could be improved, but the UI has been updated in newer versions of the application.

Vendor Response

Thank you

Replied May 2023

Rajesh

Information Technology and Services, 10,000+ employees

Used daily for less than 6 months

Review Source: Capterra

OVERALL RATING:

5

EASE OF USE

5

FUNCTIONALITY

5

Reviewed May 2023

Databuck for effective Data Quality Management

PROS

Databuck excels as a product for data observability and trustability, effectively considering various data attributes to ensure accurate context and measurement of data quality. The user interface is thoughtfully designed, providing a seamless and satisfying experience when using the product. Notably, powerful AI features such as "Auto Adjustment of Threshold," "Detecting Data Drift," and "Auto Rule Prediction" prove highly effective in enhancing its capabilities.

CONS

Databuck encompasses all key aspects of data quality, such as accuracy, completeness, consistency, timeliness, validity, and uniqueness, effectively addressing each dimension. By integrating Generative AI capabilities, the product gains enhanced power and becomes readily accessible to business users, offering them direct leverage.

Varadharajan

Airlines/Aviation, 11-50 employees

Used daily for less than 12 months

Review Source: Capterra

OVERALL RATING:

5

EASE OF USE

5

CUSTOMER SUPPORT

4

FUNCTIONALITY

5

Reviewed May 2023

Data Quality Usage in Aviation and Airports Resource Management

PROS

Integration with multiple data sources was easy. The ML algorithms helped us to define automated data quality checks.

CONS

Nothing much to mention. The UI/UX was a bit of a struggle. But they have come-up with a responsive UI which is much better now.

Jayant

Information Technology and Services, 51-200 employees

Used monthly for more than 2 years

Review Source: Capterra

OVERALL RATING:

4

EASE OF USE

4

VALUE FOR MONEY

5

CUSTOMER SUPPORT

4

FUNCTIONALITY

4

Reviewed May 2023

Saving the big bucks with DataBuck

DataBuck is really a "Cool" vendor and they make all efforts, within and beyond the life cycle, to ensure that customer gets the value for money.. Excellent Support

PROS

DataBuck is an excellent autonomous and in-situ data validation tool for lakes, clouds and pipelines and helps make the source data error free in much lesser time, saving costs, for the right and timely decision making for an enterprise.

CONS

There is a scope for improvement in UI of DataBuck software. Since the users of DataBuck are technology users, current UI is not really an obstruction, but as a product, intuitive UI will make ease of use for all kinds of users.

Ranjit

Computer Networking, 10,000+ employees

Used weekly for less than 2 years

Review Source: Capterra

OVERALL RATING:

5

EASE OF USE

5

VALUE FOR MONEY

5

CUSTOMER SUPPORT

5

FUNCTIONALITY

4

Reviewed May 2023

Databuck for Data Reconciliation across multiple source and target systems

PROS

Ability to reconcile data across multiple systems

CONS

I dont see any cons. It serves our purpose well.

Vinay

Information Technology and Services, 51-200 employees

Used weekly for less than 6 months

Review Source: Capterra

OVERALL RATING:

5

EASE OF USE

5

CUSTOMER SUPPORT

5

FUNCTIONALITY

5

Reviewed May 2023

Data Quality Usage in BFSI

The databuck team is responsive to our needs

PROS

Reporting and Analytics, Single Sign-on and self learning algorithms for data quality checks

CONS

The UI of the current version of databuck. Their new version has a very engaging and responsive UI. Thanks to databuck team they are working on it.

6 Reviews