Daft vs. Ray Comparison


Daft	Ray Anyscale	+	+
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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 Develop on your laptop and then scale the same Python code elastically across hundreds of nodes or GPUs on any cloud, with no changes. Ray translates existing Python concepts to the distributed setting, allowing any serial application to be easily parallelized with minimal code changes. Easily scale compute-heavy machine learning workloads like deep learning, model serving, and hyperparameter tuning with a strong ecosystem of distributed libraries. Scale existing workloads (for eg. Pytorch) on Ray with minimal effort by tapping into integrations. Native Ray libraries, such as Ray Tune and Ray Serve, lower the effort to scale the most compute-intensive machine learning workloads, such as hyperparameter tuning, training deep learning models, and reinforcement learning. For example, get started with distributed hyperparameter tuning in just 10 lines of code. Creating distributed apps is hard. Ray handles all aspects of distributed execution.
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 Supported Mac Supported Linux Supported Cloud Supported On-Premises 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 ML and AI Engineers, Software Developers
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 Free Open source. Consumption-based. Free Version Supported Free Trial 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 Supported Live Online Supported In Person Supported
Company Information Daft United States www.getdaft.io	Company Information Anyscale Founded: 2019 United States ray.io
Alternatives JetBrains DataSpell JetBrains	Alternatives Anyscale
Azure Data Science Virtual Machines Microsoft	Horovod
PySpark	Determined AI
Cegal Prizm Cegal	Neuralhub
Dask View All	Automaton AI View All
Categories Data Science Supported DataOps Supported	Categories Deep Learning Supported Machine Learning Supported ML Model Deployment Supported

Integrations Amazon Web Services (AWS) Supported Databricks Supported Google Cloud Platform Supported PyTorch Supported Python Supported Amazon EC2 Trn2 Instances Not Supported Anyscale Not Supported Apache Arrow Supported Dask Not Supported Feast Not Supported Flyte Not Supported Google Kubernetes Engine (GKE) Not Supported Kubernetes Not Supported LanceDB Not Supported MLflow Not Supported Rust Supported Snowflake Not Supported TensorFlow Not Supported io.net Not Supported pandas Supported Show More Integrations View All 14 Integrations	Integrations Amazon Web Services (AWS) Supported Databricks Supported Google Cloud Platform Supported PyTorch Supported Python Supported Amazon EC2 Trn2 Instances Supported Anyscale Supported Apache Arrow Not Supported Dask Supported Feast Supported Flyte Supported Google Kubernetes Engine (GKE) Supported Kubernetes Supported LanceDB Supported MLflow Supported Rust Not Supported Snowflake Supported TensorFlow Supported io.net Supported pandas Not Supported Show More Integrations View All 22 Integrations
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