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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.

What is Composable DataOps Platform?

Composable serves as a robust DataOps platform tailored for enterprises, empowering business users to develop data-centric products and formulate data intelligence solutions. This platform enables the creation of data-driven offerings that utilize a variety of data sources, including live streams and event data, irrespective of their format or structure. With its intuitive and user-friendly visual editor for dataflows, Composable also features built-in services to streamline data engineering tasks, in addition to a composable architecture that promotes both abstraction and integration of diverse analytical or software methodologies. As a result, it stands out as the premier integrated development environment for the exploration, management, transformation, and analysis of enterprise-level data. Moreover, its versatility ensures that teams can adapt quickly to changing data needs and leverage insights effectively.

Media

Media

Integrations Supported

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

Integrations Supported

Amazon Web Services (AWS)
Microsoft Azure
Adobe Marketo Engage
Amazon Redshift
Anaplan
Azure Marketplace
Hadoop
IBM Db2
PostgreSQL
Snowflake
Tableau

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

$8/hr - pay-as-you-go

Supported Platforms

SaaS

Supported Platforms

SaaS
Windows

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Daft

Company Location

United States

Company Website

www.getdaft.io

Company Facts

Organization Name

Composable Analytics

Company Location

United States

Company Website

composable.ai

Categories and Features

Data Science

Not specified

DataOps

Not specified

Categories and Features

Artificial Intelligence

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

Business Intelligence

Ad Hoc Reports
Benchmarking
Budgeting & Forecasting
Dashboard
Data Analysis
Key Performance Indicators
Performance Metrics
Predictive Analytics
Profitability Analysis
Strategic Planning
Trend / Problem Indicators
Visual Analytics

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

Data Catalog

Not specified

Data Cleansing

Address/ZIP Code Cleaning
Charting
Data Consolidation / ETL
Data Mapping
Multi Data Format Support
Phone/Email Validation
Raw Data Ingestion
Sample Testing
Validation / Matching / Reconciliation

Data Discovery

Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics

Data Engineering

Not specified

Data Intelligence

Not specified

Data Science

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

DataOps

Not specified

ETL

Not specified

Machine Learning

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

Marketing Analytics

A/B Testing
Campaign Management
Channel Attribution
Customer Journey Mapping
Dashboard
Performance Metrics
Predictive Analytics
ROI Tracking
Social Media Metrics
Website Analytics

Master Data Management

Data Governance
Data Masking
Data Source Integrations
Hierarchy Management
Match & Merge
Metadata Management
Multi-Domain
Process Management
Relationship Mapping
Visualization

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