Daft vs. Dask 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 Dask is open source and freely available. It is developed in coordination with other community projects like NumPy, pandas, and scikit-learn. Dask uses existing Python APIs and data structures to make it easy to switch between NumPy, pandas, scikit-learn to their Dask-powered equivalents. Dask's schedulers scale to thousand-node clusters and its algorithms have been tested on some of the largest supercomputers in the world. But you don't need a massive cluster to get started. Dask ships with schedulers designed for use on personal machines. Many people use Dask today to scale computations on their laptop, using multiple cores for computation and their disk for excess storage. Dask exposes lower-level APIs letting you build custom systems for in-house applications. This helps open source leaders parallelize their own packages and helps business leaders scale custom business logic.
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 requiring a solution that provides advanced parallelism for analytics, enabling performance at scale
Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported	Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported
API Offers API Supported	API Offers API Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
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 Not Supported In Person Not Supported
Company Information Daft United States www.getdaft.io	Company Information Dask Founded: 2019 dask.org
Alternatives JetBrains DataSpell JetBrains	Alternatives Polars
Azure Data Science Virtual Machines Microsoft	Ray Anyscale
PySpark	Vaex
Cegal Prizm Cegal	scikit-learn
Dask View All	Bokeh View All
Categories Data Science Supported DataOps Supported	Categories Data Science Supported

Integrations Google Cloud Platform Supported Amazon Web Services (AWS) Supported Anaconda Not Supported Apache Arrow Supported Apache Iceberg Supported Apache Spark Supported Dagster Not Supported Delta Lake Supported Flyte Not Supported Microsoft Azure Supported Prefect Not Supported PyTorch Supported Python Supported Ray Not Supported Snorkel AI Not Supported Spell Not Supported Union Cloud Not Supported Union Pandera Not Supported Unity Catalog Supported pandas Supported Show More Integrations View All 14 Integrations	Integrations Google Cloud Platform Supported Amazon Web Services (AWS) Not Supported Anaconda Supported Apache Arrow Not Supported Apache Iceberg Not Supported Apache Spark Not Supported Dagster Supported Delta Lake Not Supported Flyte Supported Microsoft Azure Not Supported Prefect Supported PyTorch Not Supported Python Not Supported Ray Supported Snorkel AI Supported Spell Supported Union Cloud Supported Union Pandera Supported Unity Catalog Not Supported pandas Not Supported Show More Integrations View All 15 Integrations
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