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  • 4.8 / 5.0 (1062)
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Pachyderm Testimonials

  • “Genetic data is always imperfect. There are missing genotypes, wrongly labeled bits. You can mitigate some of those problems [with different algorithms that fill in the blanks] but if you change the method you use to mitigate it, you need to know exactly why it changed.”

  • "Pachyderm is a seamless complement to our pipeline and processes. It already has built-in, ready-to-go systems for managing commit history, automatically tracking datum status, and it can reliably restart a process and keep the state of the overall pipeline consistent. And, of course, everyone has experienced an inability to roll back or snapshot data and Pachyderm just makes that easy and automatic. You don't have to think about it. It just does it right out of the box."

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  • Reference Rating
    4.7 / 5.0
    Customer References50 total
    About

    Arize AI is a machine learning observability platform to help unpack the proverbial AI black box. Their solutions provide ML teams the tools they need to understand whether their models are performing as expected in production and quickly get to the cause behind issues that emerge.

  • Reference Rating
    4.7 / 5.0
    Customer References30 total
    About

    Gathr is a next-gen, cloud-native, fully-managed, no-code data pipeline platform. It’s the only all-in-one platform for all your data integration and engineering needs – batch and streaming ingestion, CDC, ETL, ELT, data preparation, machine learning, and analytics. The Spark-based platform brings unmatched speed, performance, and flexibility required to handle all types of data and analytics approaches, in ways that traditional ETL tools cannot.

  • Reference Rating
    4.7 / 5.0
    Customer References30 total
    About

    SuperAnnotate is helping companies build the next generation of computer vision products with its end-to-end platform and integrated marketplace of managed annotation service teams. SuperAnnotate provides comprehensive annotation tooling, robust collaboration, and quality management systems, NoCode Neural Network training and automation, as well as a data review and curation system to successfully develop and scale computer vision projects.

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