Data error is data-cancer. Hard to detect and spreads fast Detect data errors early and autonomously with AI/ML

Stop the spread. Stop the damage

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Autonomous Data Monitoring for Cloud and Lake

Data Warehouses, Lakes and Clouds are notoriously error prone. The process of validating their Data Quality (DQ) is laborious manual work and is far from satisfactory. Unfortunately, >95% of your data is dark data – unmonitored, unvalidated and unreliable. Every step it moves downstream, errors get exponentially compounded. It takes 10x cost to fix it, if you can detect it all. What you don’t detect is unmitigated business risk.

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When DataBuck?

Current data monitoring and validation tools and processes fare very poorly under these conditions. DataBuck is perfect for these:

  • Cloud/Lake use
  • Dynamic data, example, Operational and transactional data
  • High volumeof data
  • New sourcesor changing structures of data
  • New uses for data (unvalidated data for analytics, customer insights, etc.)

What Is DataBuck?

DataBuck is an autonomous data monitoring software. It catches unreliable data early and automatically without any coding or rules writing, by sensing intricate changes in the “DNA Fingerprint” of data with AI/ML. It automates over 80% of the laborious work for data monitoring and validation.

DataBuck autonomously sets 1,000s of validation checks w/o manual intervention. It is >10x faster than any other tool or your own custom scripts. AI/ML enables the tool to be set up and validate entire databases or schemas in just a few clicks.

Customer’s report benefits of:

(i) Higher trust in reports, analytics & models
(ii) Lower data maintenance work & cost
(iii) 10x efficiency in scaling Data Quality ops

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People productivity
boost >80%

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Reduction in unexpected errors: 70%

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Cost reduction >50%

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Time reduction to onboard data set ~90%

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Increase in processing speed >10x

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Cloud native

What DataBuck users say…

IDC Innovator Award in
Data Quality

AI/ML-powered Data Quality validation tool, DataBuck, was recognized by IDC for innovative solution in the DQ space. DataBuck’s AI/ML-powered business rule discovery automates a tedious, labor intensive and time consuming process for validating Data Quality from 6-9 months to just a few days.

Gartner Cool Vendor Award for Data Validation & Data Quality

An innovative tool that Gartner has recognized has the potential to change the big Data landscape. Big Data Quality Validation and Data Matching is done autonomously and effortlessly by Machine Learning algorithms that learn the expected behavior of data without manual intervention. Without coding, Data Quality deviations are picked out.

Machine Learning-Guided Cloud and Lake Data Monitoring and Validation Tool

DataBuck can validate your Big Data autonomously and at 10x speed of any other data validation tool or your own custom scripts. Clean data in 3 clicks and no-coding.

Privacy of our customers is important to us, a sample of a few organizations that trust DataBuck

  • Bank

    Financial Services

    •  Top-3 US Bank
    •  Top-3 African bank

  • Healthcare

    Healthcare

    •  Top-10 US Hospital
    •  Top Telehealth provider

  • Hi Tech

    Hi Tech

    •  Fortune-50 Hi Tech manufacturer

  • Retail

    Retail

    Top-3 Retail IoT services provider

  • Streaming

    Streaming

    •  Top-3 Streaming music service

  • Government

    Government

    •  3rd largest city is US

Privacy of our customers is important to us, a sample of a few organizations that trust DataBuck

  • Bank

    Financial Services

    •  Top-3 US Bank
    •  Top-3 African bank

  • Healthcare

    Healthcare

    •  Top-10 US Hospital
    •  Top Telehealth provider

  • Hi Tech

    Hi Tech

    •  Fortune-50 Hi Tech manufacturer

  • Retail

    Retail

    Top-3 Retail IoT services provider

  • Streaming

    Streaming

    •  Top-3 Streaming music service

  • Government

    Government

    •  3rd largest city is US