DataBuck
Autonomous Data Quality Validation with DataBuck
Databuck is an autonomous data quality solution powered by machine learning that automates data validation and monitoring. It auto-recommends essential validation rules for any dataset while allowing users to create custom rules. Unlike other tools, Databuck moves the rules to the data without transferring the data itself, ensuring high security. Business users and data stewards can easily edit validation checks through a user-friendly interface. With Databuck, organizations can autonomously validate thousands of datasets with just a few clicks, leading to more trustable reports, analytics, and models. It helps catch data errors before they reach business partners, reduces data maintenance costs, and scales data quality processes by 100x without needing additional resources.
2015
United States
- Automotive
- Banking
- Computer-software
- Education-management
- Financial-services
- Information-technology-services
- English
Industries
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Automotive
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Banking
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Computer-software
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Education-management
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Financial-services
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Information-technology-services
Licensing & Deployment
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Proprietary
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Cloud Hosted
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iPhone/iPad
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Android
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Windows
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Mac
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Linux
Support
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Email
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Chat
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Phone
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24x7 Support
Training
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Webinar
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In-person
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Documentation
Knowledge Base
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Video
Media
DataBuck Core Features
Focus of Data Analysis Feature
- Data Quality
- Data Sources
- Predictive Analytics
- AI Features
DataBuck Pricing
Pricing Type
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Contact Vendor
Preferred Currency
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USD ($)
Free Version
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No
Payment Frequency
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Monthly Payment
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Annual Subscription
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Quote Based
