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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Daft is an advanced framework designed for ETL, analytics, and machine learning/artificial intelligence at scale, providing an intuitive Python dataframe API that surpasses Spark in both performance and user-friendliness. It integrates seamlessly with your ML/AI infrastructure through efficient zero-copy connections to essential Python libraries like Pytorch and Ray, and it enables the allocation of GPUs for model execution. Operating on a lightweight multithreaded backend, Daft starts by running locally, but when the capabilities of your machine are exceeded, it effortlessly transitions to an out-of-core setup on a distributed cluster. Additionally, Daft supports User-Defined Functions (UDFs) in columns, enabling the execution of intricate expressions and operations on Python objects with the necessary flexibility for advanced ML/AI tasks. Its ability to scale and adapt makes it a versatile choice for data processing and analysis in various environments.

Description

The future of artificial intelligence hinges on unstructured data. Embrace this potential now by creating a scalable ML/AI pipeline that consolidates all your unstructured data within a single platform. By leveraging superior data, you can develop enhanced models, exclusively with Graviti. Discover a data platform tailored for AI practitioners, equipped with management capabilities, query functionality, and version control specifically designed for handling unstructured data. Achieving high-quality data is no longer an unattainable aspiration. Centralize your metadata, annotations, and predictions effortlessly. Tailor filters and visualize the results to quickly access the data that aligns with your requirements. Employ a Git-like framework for version management and facilitate collaboration among your team members. With role-based access control and clear visual representations of version changes, your team can collaborate efficiently and securely. Streamline your data pipeline using Graviti’s integrated marketplace and workflow builder, allowing you to enhance model iterations without the tedious effort. This innovative approach not only saves time but also empowers teams to focus on creativity and problem-solving.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS)
Microsoft Azure
Alibaba Cloud
Apache Arrow
Apache Iceberg
Apache Spark
Databricks
Delta Lake
Google Cloud Platform
JSON
PyTorch
Python
Rust
Unity Catalog
Unremot
pandas

Integrations

Amazon Web Services (AWS)
Microsoft Azure
Alibaba Cloud
Apache Arrow
Apache Iceberg
Apache Spark
Databricks
Delta Lake
Google Cloud Platform
JSON
PyTorch
Python
Rust
Unity Catalog
Unremot
pandas

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Daft

Country

United States

Website

www.getdaft.io

Vendor Details

Company Name

Graviti

Founded

2019

Country

United States

Website

www.graviti.com

Product Features

Data Science

Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports

Product Features

Artificial Intelligence

Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)

Data Management

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

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Alternatives

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