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"We’ve tried solutions such as Argo Workflows or DVC that delivered some of the same capabilities, but it’s cumbersome to juggle different tools. The benefit of Pachyderm is that all of these features are highly coupled in one coherent platform, which works really well for us."
"Conceptually, DVC worked well, but as I looked closer at the framework, it felt like it was for smaller, more research-oriented projects. I didn’t see how DVC would get us to a production environment. Pachyderm would.”
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.
Snorkel AI started as a research project in the Stanford AI Lab in 2016, where they set out to explore a higher-level interface to machine learning through programmatically labeled and managed training data. From deploying early versions of Snorkel Flow's core technology with some of the world’s leading organizations, to empowering scientists, doctors, and journalists, they’ve seen firsthand how this approach democratizes and accelerates AI. Now, they’re working to bring their technology to everyone.
Valohai is the only machine learning platform built for private installations with company’s intellectual property’s safety at the core. Boost your data scientists’ productivity by letting them concentrate on model building while Valohai automates your MLOps. Build an automatic regulatory compliant audit-trail from experiment to inference, with Valohai’s automatic version control.
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