Daft vs. NVIDIA RAPIDS Comparison


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About 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.	About The RAPIDS suite of software libraries, built on CUDA-X AI, gives you the freedom to execute end-to-end data science and analytics pipelines entirely on GPUs. It relies on NVIDIA® CUDA® primitives for low-level compute optimization, but exposes that GPU parallelism and high-bandwidth memory speed through user-friendly Python interfaces. RAPIDS also focuses on common data preparation tasks for analytics and data science. This includes a familiar DataFrame API that integrates with a variety of machine learning algorithms for end-to-end pipeline accelerations without paying typical serialization costs. RAPIDS also includes support for multi-node, multi-GPU deployments, enabling vastly accelerated processing and training on much larger dataset sizes. Accelerate your Python data science toolchain with minimal code changes and no new tools to learn. Increase machine learning model accuracy by iterating on models faster and deploying them more frequently.
Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported	Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
Audience Developers and enterprises in search of a solution to manage their multimodal data	Audience Enterprises in search of a solution to execute end-to-end data science and analytics pipelines entirely on GPUs
Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported	Support Phone Support Supported 24/7 Live Support Not Supported Online Supported
API Offers API Supported	API Offers API Not Supported
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Pricing No information available. Free Version Not Supported Free Trial Not Supported	Pricing No information available. Free Version Not Supported Free Trial Not Supported
Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software	Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software

Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported	Training Documentation Supported Webinars Not Supported Live Online Supported In Person Supported
Company Information Daft United States www.getdaft.io	Company Information NVIDIA Founded: 1993 United States developer.nvidia.com/rapids
Alternatives JetBrains DataSpell JetBrains	Alternatives NVIDIA Magnum IO NVIDIA
Azure Data Science Virtual Machines Microsoft	Cloudera Data Science Workbench Cloudera
PySpark	Azure Data Science Virtual Machines Microsoft
Cegal Prizm Cegal	Google Cloud Deep Learning VM Image Google
Dask View All	Domino Enterprise AI Platform Domino Data Lab View All
Categories Data Science Supported DataOps Supported	Categories AI Infrastructure Supported Data Science Supported

Integrations Apache Spark Supported Databricks Supported Apache Arrow Supported Domino Enterprise AI Platform Not Supported Google Cloud Platform Supported Gradient Not Supported HEAVY.AI Not Supported HPE Ezmeral Data Fabric Not Supported IBM Cloud Not Supported JSON Supported Kinetica Not Supported Microsoft Azure Supported Nuclio Not Supported Plotly Dash Not Supported PyTorch Supported Python Supported Rust Supported Unity Catalog Supported Show More Integrations View All 14 Integrations	Integrations Apache Spark Supported Databricks Supported Apache Arrow Not Supported Domino Enterprise AI Platform Supported Google Cloud Platform Not Supported Gradient Supported HEAVY.AI Supported HPE Ezmeral Data Fabric Supported IBM Cloud Supported JSON Not Supported Kinetica Supported Microsoft Azure Not Supported Nuclio Supported Plotly Dash Supported PyTorch Not Supported Python Not Supported Rust Not Supported Unity Catalog Not Supported Show More Integrations View All 17 Integrations
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