Daft vs. Oracle Machine Learning 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 Machine learning uncovers hidden patterns and insights in enterprise data, generating new value for the business. Oracle Machine Learning accelerates the creation and deployment of machine learning models for data scientists using reduced data movement, AutoML technology, and simplified deployment. Increase data scientist and developer productivity and reduce their learning curve with familiar open source-based Apache Zeppelin notebook technology. Notebooks support SQL, PL/SQL, Python, and markdown interpreters for Oracle Autonomous Database so users can work with their language of choice when developing models. A no-code user interface supporting AutoML on Autonomous Database to improve both data scientist productivity and non-expert user access to powerful in-database algorithms for classification and regression. Data scientists gain integrated model deployment from the Oracle Machine Learning AutoML User Interface.
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 Data scientists looking for a machine learning solution to accelerate the creation and deployment of machine learning models
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 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 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 Oracle Founded: 1977 United States www.oracle.com/data-science/machine-learning/
Alternatives JetBrains DataSpell JetBrains	Alternatives Oracle Data Science Oracle
Azure Data Science Virtual Machines Microsoft	Kraken Big Squid
PySpark	Google Cloud AutoML Google
Cegal Prizm Cegal	Rapidminer AI Studio Siemens
Dask View All	Oracle Data Miner Oracle View All
Categories Data Science Supported DataOps Supported	Categories Data Science Supported Machine Learning Supported

Integrations Apache Spark Supported Amazon Web Services (AWS) Supported Apache Arrow Supported Apache Hive Not Supported Apache Iceberg Supported Databricks Supported Delta Lake Supported Google Cloud Platform Supported Impala Not Supported Kinetica Not Supported Microsoft Azure Supported MySQL Not Supported Oracle Cloud Infrastructure Not Supported Oracle Database Not Supported PwC Check-In Not Supported PyTorch Supported Python Supported Rust Supported Unity Catalog Supported Show More Integrations View All 14 Integrations	Integrations Apache Spark Supported Amazon Web Services (AWS) Not Supported Apache Arrow Not Supported Apache Hive Supported Apache Iceberg Not Supported Databricks Not Supported Delta Lake Not Supported Google Cloud Platform Not Supported Impala Supported Kinetica Supported Microsoft Azure Not Supported MySQL Supported Oracle Cloud Infrastructure Supported Oracle Database Supported PwC Check-In Supported PyTorch Not Supported Python Not Supported Rust Not Supported Unity Catalog Not Supported Show More Integrations View All 9 Integrations
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