AI-Powered Data Trustability for
Detect Data Errors in 1000+ Pipelines with One Click
DataBuck observability and trustability platform featured in Gartner’s 2024 market guide for Data Observability
About DataBuck
DataBuck self discovers the rules governing data assets. Automates error detection and captures bad data at source. Prevents downstream blushes like empty or erroneous reports.
Tool is used by billion-dollar enterprise to million-dollar business to ensure the health of the underlying data
Real-time Data Issues Detected by DataBuck
4 Dimensions of Data Assurance
Observability
DataBuck’s unified Observability platform
Powered by Machine Learning, DataBuck is an advanced Observability tool that prevents critical data issues before it breaks the data pipeline or reaches the data users.
Trustability
Beyond Observability
ML-powered Data Trustability
Measure the trustworthiness and usability of data on the cloud, and monitor Data Trustability across the entire data pipeline with the help of DataBuck's Trustability Module.
Data Quality
Autonomous Data Quality Validation
DataBuck is an automated data monitoring and validation software that autonomously validates 1,000’s of data sets in a few clicks, with lower data maintenance work & costs.
Data Matching
Cross Platform Data Matching powered by ML
Reconcile complex data across multiple platforms automatically using no-code Machine Learning to detect errors before they infect multiple systems downstream.
AWARDS
Gartner Cool Vendor Award for Data Validation & Data Quality
IDC Innovator Award in Data Quality
Recognized by Eckerson Group for Data Validation
Recognized by Eckerson Group for Data Validation
Recognized by CIO Review
for Data Quality
Recognized by Intellyx
for Data Validation
Success Stories
Reduce Financial Reporting Risk and Cost of Validating Financial Data Warehouses with AI/ML Powered Data Quality
Top 3 global Networking Equipment provider reduces financial reporting risk by leveraging DataBuck to monitor 800+ data assets in its financial data warehouse and reconciling financial information.
Increase Data Quality Productivity by 2x and Reduce Cost by 50%
Top-3 US Bank with Over $1.5 Trillion in assets, reduces operational and regulatory reporting risk by leveraging DataBuck to monitor 15,000+ data assets.
Autonomous Healthcare Data Quality Validation Accelerates Data Onboarding and Prevents Costly Data Cleanups
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.
Do you Know?
Financial services lose up to 15% of their revenue due to bad data, affecting decision-making, compliance, and customer trust. Learn how automation and advanced data quality strategies can save millions and transform operations. Read More
What DataBuck users say…
“What took my team of 10 Engineers 2 years to do, DataBuck could complete it in <8 hrs”
“DataBuck’s Data Quality automation does 80% of the heavy lifting for us with just 5% of the effort.”
“Streamlining the DQ monitoring and validation process w/DataBuck has reduced our time-to-market. With fewer resource we auto discover DQ rules, which also self-heals as the data evolves.”
“DataBuck can really add a lot of headcount efficiency for us. This tool makes it easy for us to not only profile and discover the rules, but also to operationalize them and auto-heal as the data evolves over time.”
“AML is on the rise. We have data from 10 countries in different formats and standards that need to be validated. We could not keep up doing it manually. DataBuck has automated and streamlined our data pipeline.”
“In the last 3 years we’ve had a 100x increase of API’s and microservices on the Cloud. This proliferation is beyond what Data Stewards can manage. As Cloud-native tool designed for Data Engineers, DataBuck autonomously validates data upstream and tremendously eases the burden on Stewards.”
“Monitoring and validating files and data at ingestion directly impacts our revenues. DataBuck gives us the reliability, intelligence and speed we need to eliminate revenue-leakage.”
“Aggregating weekly sales data from many dozens of sources and validating them is laborious and error prone. With DataBuck’s AI/ML-driven DQ automation we got more accurate data with less than 10% effort.”
“With the traditional Data Quality tools, we could not thoroughly audit the financial data for the Street w/in our audit window. DataBuck’s performance has reduced data validation times from 11 hrs to 2 hrs, and w/higher accuracy.”
Simplify Data Quality Monitoring and Data Quality Validation with DataBuck
Partners
Trusted by Industry Leaders
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