Listing Thumbnail

    Autonomous Data Quality Validation with DataBuck

     Info
    Free Trial
    DataBuck is an Agentic AI powered platform that monitors data trust across thousands of tables in just 3 clicks. It delivers real time data observability, automated data quality validation and reconciliation across cloud and on prem systems to ensure trusted analytics at scale.

    Overview

    Play video

    DataBuck is an Agentic AI platform that automates data trust validation across the entire data pipeline from data lakes to analytics layers. In just 3 clicks DataBuck enables enterprises to assess the trustworthiness of thousands of tables in real time eliminating blind spots in data quality and reducing rework costs by up to 90 percent.

    With built in capabilities for data observability autonomous data quality validation data reconciliation and data matching DataBuck ensures high confidence in analytics and business decisions. The platform requires no coding offers real time monitoring and can be deployed across both cloud native and on prem environments.

    Global enterprises such as Toyota Cisco Verizon Wells Fargo Teladoc and Absa Bank trust DataBuck to deliver reliable and accurate data pipelines. Recognized by Gartner and IDC DataBuck improves model accuracy by up to 70 percent and helps data teams move from reactive troubleshooting to proactive automated data quality management.

    DataBuck serves as a comprehensive alternative to multiple data quality tools including Anomalo Bigeye Great Expectations Monte Carlo Data and Soda offering a unified low effort Agentic AI driven solution that delivers continuous scalable data trust.

    Highlights

    • Agentic AI monitors data trust across thousands of tables in just 3 clicks Provides real time data observability automated quality checks and reconciliation Supports both cloud native and on prem data sources
    • Reduces data rework and remediation costs by up to 90 percent
    • Improves analytical model accuracy by up to 70 percent

    Details

    Delivery method

    Deployed on AWS

    Unlock automation with AI agent solutions

    Fast-track AI initiatives with agents, tools, and solutions from AWS Partners.
    AI Agents

    Features and programs

    Financing for AWS Marketplace purchases

    AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
    Financing for AWS Marketplace purchases

    Pricing

    Free trial

    Try this product free according to the free trial terms set by the vendor.

    Autonomous Data Quality Validation with DataBuck

     Info
    Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    1-month contract (3)

     Info
    Dimension
    Description
    Cost/month
    small Tier
    Provides access to the Small Tier features for 30 days at no cost. Enables users to evaluate the product before subscribing to paid tiers.
    $0.00
    Medium Tier
    Provides access to the Medium Tier features for 30 days at 1500$ per month This tier includes high performance infrastructure optimized for medium scale application workloads ensuring reliable performance and scalability
    $1,500.00
    Large Tier
    Provides access to the Large Tier features for 30 days at 3500$ per month This tier includes premium high capacity infrastructure designed for enterprise scale workloads delivering maximum performance reliability and scalability
    $3,500.00

    Vendor refund policy

    No Refund

    How can we make this page better?

    We'd like to hear your feedback and ideas on how to improve this page.
    We'd like to hear your feedback and ideas on how to improve this page.

    Legal

    Vendor terms and conditions

    Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .

    Content disclaimer

    Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

    Usage information

     Info

    Delivery details

    Software as a Service (SaaS)

    SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.

    Resources

    Vendor resources

    Support

    Vendor support

    Support Email: supportteam@firsteigen.com 

    Support Phone: +1 866 739 1293

    Website: https://firsteigen.freshdesk.com/support/home 

    Support Description FirstEigen provides 24 7 support via email phone and ticketing system. Our expert team assists with onboarding integration configuration and ongoing performance tuning to ensure optimal performance and maximum value from DataBuck.

    AWS infrastructure support

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

    Similar products

    Customer reviews

    Ratings and reviews

     Info
    0 ratings
    5 star
    4 star
    3 star
    2 star
    1 star
    0%
    0%
    0%
    0%
    0%
    0 AWS reviews
    No customer reviews yet
    Be the first to review this product . We've partnered with PeerSpot to gather customer feedback. You can share your experience by writing or recording a review, or scheduling a call with a PeerSpot analyst.