Autonomous Data Validation in AWS S3

Ensure Superior AWS Data Quality With the Help of Data Trust Score

Mitigate the risk of incorrect data on the AWS cloud

Would it be useful to detect data errors upstream, so they don't get through to your business partners?

What if you could automate 80% of that work to validate data?

Cloud Data Engineers do not understand every column of every table and find it hard to validate & certify the accuracy of data. As a result, companies end up monitoring less than 5% of their data. The other 95% is unvalidated and highly risky.

DataBuck is a continuous data validation software for catching elusive data errors very early.

Powered by AI and Machine Learning, it easily integrates within your data pipeline through APIs, to discover issues for each data set and validates the reliability and accuracy of data via automation. Cut data maintenance work and cost by over 50% and certify the health of your data quality at every step of data flow automatically.

Benefit of automating data quality validation on AWS

Get drinkable, crystal clear stream of data from AWS along with these benefits…

People Productivity

People productivity
boost >80%

Reduction in unexpected errors

Reduction in unexpected errors: 70%

Cost reduction

Cost reduction >50%

Time reduction to onboard data set

Time reduction to onboard data set ~90%

Increase in processing speed

Increase in processing speed >10x

Cloud native

Cloud native

What DataBuck users say…

Introduction Data Quality Monitoring- Why it's important?
FirstEigen recognized in AWS re:Invent as best-of-breed DQ tool
Autonomous cloud Data Quality validation demo with DataBuck
How AI/ML simplifies Data Quality and increases accuracy

Friday Open House

Our development team will be available every Friday from 12:00 - 1:00 PM PT/3:00 - 4:00 PM ET. Drop by and say "Hi" to us! Click the button below for the Zoom Link: