Audience
Developers and enterprises in search of a solution to manage their multimodal data
About Daft
Daft is a framework for ETL, analytics and ML/AI at scale. Its familiar Python dataframe API is built to outperform Spark in performance and ease of use. Daft plugs directly into your ML/AI stack through efficient zero-copy integrations with essential Python libraries such as Pytorch and Ray. It also allows requesting GPUs as a resource for running models. Daft runs locally with a lightweight multithreaded backend. When your local machine is no longer sufficient, it scales seamlessly to run out-of-core on a distributed cluster. Daft can handle User-Defined Functions (UDFs) in columns, allowing you to apply complex expressions and operations to Python objects with the full flexibility required for ML/AI. Daft runs locally with a lightweight multithreaded backend. When your local machine is no longer sufficient, it scales seamlessly to run out-of-core on a distributed cluster.
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Company Information
Daft
United States
www.getdaft.io
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Product Details
Platforms Supported
Cloud
Training
Documentation
Videos
Support
Online
Daft Frequently Asked Questions
Q: What kinds of users and organization types does Daft work with?
Daft works with these users and organization types: Mid Size Business, Small Business, Enterprise, Freelance, Nonprofit, Government, and Startup.
Q: What languages does Daft support in their product?
Daft supports these languages: English.
Q: What kind of support options does Daft offer?
Daft offers support via online.
Q: What other applications or services does Daft integrate with?
Daft integrates with: Apache Arrow, Apache Iceberg, Apache Spark, Amazon Web Services (AWS), Microsoft Azure, Databricks, Delta Lake, Google Cloud Platform, JSON, pandas, Python, PyTorch, Rust, and Unity Catalog.
Q: Does Daft have an API?
Yes, Daft has an API.
Q: What type of training does Daft provide?
Daft provides training in the form of documentation and videos.
