Go Data Quality Tools

View 151 business solutions

Browse free open source Go Data Quality Tools and projects below. Use the toggles on the left to filter open source Go Data Quality Tools by OS, license, language, programming language, and project status.

  • Tremendous is the global payouts platform for businesses sending gift cards and money at scale. Icon
    Tremendous is the global payouts platform for businesses sending gift cards and money at scale.

    Getting started is simple: add a funding method and place your first order in minutes.

    Trusted by 20,000+ leading organizations, Tremendous has delivered billions of rewards and enables businesses to reach recipients across 230+ countries and regions. Recipients have 2,500+ payout options to choose from, including gift cards, prepaid cards, cash transfers, and charitable donations.
    Learn More
  • Managed Cybersecurity Platform Built for MSPs Icon
    Managed Cybersecurity Platform Built for MSPs

    Discover the cyber platform that secures and insures SMEs

    In a world that lives and breathes all things digital, every business is at risk. Cybersecurity has become a major problem for small and growing businesses due to limited budgets, resources, time, and training. Hackers are leveraging these vulnerabilities, and most of the existing cybersecurity solutions on the market are too cumbersome, too complicated, and far too costly.
    Learn More
  • 1
    lakeFS

    lakeFS

    lakeFS - Git-like capabilities for your object storage

    Increase data quality and reduce the painful cost of errors. Data engineering best practices using git-like operations on data. lakeFS is an open-source data version control for data lakes. It enables zero-copy Dev / Test isolated environments, continuous quality validation, atomic rollback on bad data, reproducibility, and more. Data is dynamic, it changes over time. Dealing with that without a data version control system is error-prone and labor-intensive. With lakeFS, your data lake is version controlled and you can easily time-travel between consistent snapshots of the lake. Easier ETL testing - test your ETLs on top of production data, in isolation, without copying anything. Safely experiment and test on full production data. Easily Collaborate on production data with your team. Automate data quality checks within data pipelines.
    Downloads: 7 This Week
    Last Update:
    See Project
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