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  • How a data-processing problem at Lyft became the basis for . . .
    The first was a $7 5 million seed round led by CRV More recently, the company raised a $20 million Series A round led by Felicis with participation from Microsoft’s M12 and Citi
  • Eventual, which develops Daft, a Python-native open-source . . .
    Eventual, which develops Daft, a Python-native open-source data processing engine, raised a $7 5M seed led by CRV and a $20M Series A led by Felicis Ventures — When Eventual founders Sammy Sidhu and Jay Chia were working as software engineers at Lyft's autonomous vehicle program …
  • GitHub - Eventual-Inc Daft: Distributed query engine . . .
    Daft was designed with the following principles in mind: Any Data: Beyond the usual strings numbers dates, Daft columns can also hold complex or nested multimodal data such as Images, Embeddings and Python objects efficiently with it's Arrow based memory representation Ingestion and basic transformations of multimodal data is extremely easy
  • daft 0. 5. 5 - PyPI
    Daft was designed with the following principles in mind: Any Data: Beyond the usual strings numbers dates, Daft columns can also hold complex or nested multimodal data such as Images, Embeddings and Python objects efficiently with it’s Arrow based memory representation Ingestion and basic transformations of multimodal data is extremely easy
  • Daft — a distributed data engine - Dev Genius
    Distributed Push-Based Shuffler — this will enable Daft to process data an order of magnitude larger than what currently is possible Async Streaming UDFs for better memory efficiency Conclusion Daft’s design — Python-native, Rust-based, and cloud-native — positions it as a strong candidate for teams building modern Data ML platforms





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