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Average Ratings 0 Ratings

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features
design
support

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Write a Review

Description

Airflow is a community-driven platform designed for the programmatic creation, scheduling, and monitoring of workflows. With its modular architecture, Airflow employs a message queue to manage an unlimited number of workers, making it highly scalable. The system is capable of handling complex operations through its ability to define pipelines using Python, facilitating dynamic pipeline generation. This flexibility enables developers to write code that can create pipelines on the fly. Users can easily create custom operators and expand existing libraries, tailoring the abstraction level to meet their specific needs. The pipelines in Airflow are both concise and clear, with built-in parametrization supported by the robust Jinja templating engine. Eliminate the need for complex command-line operations or obscure XML configurations! Instead, leverage standard Python functionalities to construct workflows, incorporating date-time formats for scheduling and utilizing loops for the dynamic generation of tasks. This approach ensures that you retain complete freedom and adaptability when designing your workflows, allowing you to efficiently respond to changing requirements. Additionally, Airflow's user-friendly interface empowers teams to collaboratively refine and optimize their workflow processes.

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.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Apache Arrow No 
CrateDB Yes 
DQOps Yes 
Dagster Yes 
DataBuck Yes 
DoubleCloud Yes 
IRI FieldShield Yes 
JSON No 
MaxPatrol Yes 
Metaphor Yes 
Microsoft Purview Yes 
Netdata Yes 
OpenMetadata Yes 
Python No 
RTILA Yes 
Secoda Yes 
Sifflet Yes 
Tobiko Yes 
ZenML Yes 
emma Yes 

Integrations

Apache Arrow Yes 
CrateDB No 
DQOps No 
Dagster No 
DataBuck No 
DoubleCloud No 
IRI FieldShield No 
JSON Yes 
MaxPatrol No 
Metaphor No 
Microsoft Purview No 
Netdata No 
OpenMetadata No 
Python Yes 
RTILA No 
Secoda No 
Sifflet No 
Tobiko No 
ZenML No 
emma No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

The Apache Software Foundation

Founded

1999

Country

United States

Website

airflow.apache.org

Vendor Details

Company Name

Daft

Country

United States

Website

www.getdaft.io

Product Features

Workflow Management

Access Controls/Permissions No 
Approval Process Control No 
Business Process Automation No 
Calendar Management No 
Compliance Tracking No 
Configurable Workflow No 
Customizable Dashboard No 
Document Management No 
Forms Management No 
Graphical Workflow Editor No 
Mobile Access No 
No-Code No 
Task Management No 
Third Party Integrations No 
Workflow Configuration No 

Product Features

Data Science

Access Control No 
Advanced Modeling No 
Audit Logs No 
Data Discovery No 
Data Ingestion No 
Data Preparation No 
Data Visualization No 
Model Deployment No 
Reports No 

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