Autonomous Data Quality Validation with DataBuck

Eliminate unexpected data issues

Why Monitor Data Quality?

Error creeps into data every step along the way as it makes it way to the business and analytics team for usage and insights. Companies are seeing an increase in data volume, data complexity, number of data sources and number of platforms (Lake, Cloud, Cloud Warehouses, Hadoop).

First Eigen


Traditional data validation solutions:

  • Were built for Data Stewards and not for Data Engineers
  • They were built for individually writing rules for every table one by one, not built for automation
  • Are costly to scale and are difficult to manage


Catch bad data NOT by writing laborious rules, BUT by sensing changes in the DNA of data using AI/ML.

DataBuck is not:

  • BI tool
  • ETL tool
  • Data wrangling tool

DataBuck is an automated data monitoring and validation software.


Catch data errors before your business partners do.

  • Autonomously validate 1,000’s of data sets in a few clicks
  • 10x in scaling Data Quality operations
  • Lower data maintenance work & cost
  • Trustable reports, analytics & models

DataBuck is not merely a software, adopting it sends a message – build reliability by design

DataBuck has delivered these results for its customers:

Money from a bank using data monitoring software

Top-3 US Bank with Over $1.5 Trillion in assets, reduced operational and regulatory reporting risk by leveraging DataBuck to monitor 15,000+ data assets.

First Eigen

Top 3 global Networking Equipment provider reduced financial reporting risk by leveraging DataBuck to monitor 800+ data assets in its financial data warehouse and reconciling financial information.

First Eigen

Top-3 Bank in Africa reduces financial crime risk by leveraging DataBuck to monitor client data spanning over 300 data assets in its Data Lake.

First Eigen

Top 3 Telemedicine and Healthcare company reduces data risk and transforms its data pipeline by leveraging DataBuck to monitor eligibility files received from 250+ Hospitals comprising of millions of records in real time.

First Eigen

Leading media streaming company reduces revenue risk by leveraging DataBuck to monitor customer, prospect, and account data in near real time.

First Eigen

A multinational bank operating in 10 different countries reduced its regulatory compliance risk by configuring DataBuck to improve the completeness and accuracy of KYC data.

data quality

A life insurance and Annuities Company was able to save computation time by more than 67% while ensuring referential integrity, completeness of the data movement, and the logic of financial numbers with the help of DataBuck.

What Data Sources Can it Work With:

DataBuck can accept data from all major data sources, including Hadoop, Cloudera, Hortonworks, MapR, HBase, Hive, MongoDB, Cassandra, Datastax, HP Vertica, Teradata, Oracle, MySQL, MS SQL, SAP, Amazon AWS, MS Azure, and more.

How AI/ML simplifies Data Monitoring and Data Quality Validation