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What is Graviti?

The trajectory of artificial intelligence is significantly influenced by the utilization of unstructured data. To harness this opportunity, initiate the development of a robust and scalable ML/AI pipeline that integrates all your unstructured data into one cohesive platform. By capitalizing on high-quality data, you can create superior models, exclusively through Graviti. Uncover a data platform designed specifically for AI professionals, packed with features for management, querying, and version control to effectively manage unstructured data. Attaining high-quality data is now a realistic goal rather than a distant dream. Effortlessly centralize your metadata, annotations, and predictions while customizing filters and visualizing results to swiftly pinpoint the data that meets your needs. Utilize a Git-like version control system to enhance collaboration within your team, ensuring that everyone has appropriate access and a clear visual understanding of changes. With role-based access control and intuitive visualizations of version alterations, your team can work together productively and securely. Optimize your data pipeline through Graviti’s integrated marketplace and workflow builder, which enables you to refine model iterations with ease. This cutting-edge strategy not only conserves time but also empowers teams to prioritize innovation and strategic problem-solving, ultimately driving progress in artificial intelligence initiatives. As you embark on this transformative journey, the potential for discovery and advancement within your projects will expand exponentially.

What is Daft?

Daft is a sophisticated framework tailored for ETL, analytics, and large-scale machine learning/artificial intelligence, featuring a user-friendly Python dataframe API that outperforms Spark in both speed and usability. It provides seamless integration with existing ML/AI systems through efficient zero-copy connections to critical Python libraries such as Pytorch and Ray, allowing for effective GPU allocation during model execution. Operating on a nimble multithreaded backend, Daft initially functions locally but can effortlessly shift to an out-of-core setup on a distributed cluster once the limitations of your local machine are reached. Furthermore, Daft enhances its functionality by supporting User-Defined Functions (UDFs) in columns, which facilitates the execution of complex expressions and operations on Python objects, offering the necessary flexibility for sophisticated ML/AI applications. Its robust scalability and adaptability solidify Daft as an indispensable tool for data processing and analytical tasks across diverse environments, making it a favorable choice for developers and data scientists alike.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
Microsoft Azure
Alibaba Cloud
Unremot

Integrations Supported

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

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub

Company Facts

Organization Name

Graviti

Date Founded

2019

Company Location

United States

Company Website

www.graviti.com

Company Facts

Organization Name

Daft

Company Location

United States

Company Website

www.getdaft.io

Categories and Features

AI Development

Not specified

Data Management

Not specified

Machine Learning

Not specified

Categories and Features

Data Science

Not specified

DataOps

Not specified

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