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What is Flyte?

Flyte is a powerful platform crafted for the automation of complex, mission-critical data and machine learning workflows on a large scale. It enhances the ease of creating concurrent, scalable, and maintainable workflows, positioning itself as a crucial instrument for data processing and machine learning tasks. Organizations such as Lyft, Spotify, and Freenome have integrated Flyte into their production environments. At Lyft, Flyte has played a pivotal role in model training and data management for over four years, becoming the preferred platform for various departments, including pricing, locations, ETA, mapping, and autonomous vehicle operations. Impressively, Flyte manages over 10,000 distinct workflows at Lyft, leading to more than 1,000,000 executions monthly, alongside 20 million tasks and 40 million container instances. Its dependability is evident in high-demand settings like those at Lyft and Spotify, among others. As a fully open-source project licensed under Apache 2.0 and supported by the Linux Foundation, it is overseen by a committee that reflects a diverse range of industries. While YAML configurations can sometimes add complexity and risk errors in machine learning and data workflows, Flyte effectively addresses these obstacles. This capability not only makes Flyte a powerful tool but also a user-friendly choice for teams aiming to optimize their data operations. Furthermore, Flyte's strong community support ensures that it continues to evolve and adapt to the needs of its users, solidifying its status in the data and machine learning landscape.

What is ETLR?

ETLR acts as an automation solution for AI workflows, enabling users to create, manage, and deploy workflows using YAML configuration files. By adopting a 'workflows as code' approach, it eliminates the need for a graphical user interface, simplifying the overall management of AI processes. The platform features built-in version control, which facilitates the tracking of changes and allows for easy rollbacks when necessary. Deploying workflows can be done with a simple command, which drastically cuts down on the time and effort required for infrastructure setup, making it an efficient choice for developers. ETLR also integrates effortlessly with a range of services such as OpenAI, AWS, Slack, and Python, enhancing its versatility. Additionally, it provides valuable functionalities like real-time metrics, structured logs, and detailed execution traces, giving users thorough visibility into their workflows. For enterprise clients, ETLR offers the advantage of dedicated support and service level agreements (SLAs) that ensure reliability and quick assistance. The pricing structure is designed to be clear and operates on a credit system, where each credit is equivalent to one workflow execution, promoting transparency in billing. Ultimately, ETLR stands out not merely as a tool but as a strategic ally in the automation of AI workflows, fostering innovation and efficiency in various applications.

Media

Media

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Integrations Supported

Amazon Athena
Apache Hive
Apache Parquet
Apache Spark
Databricks Data Intelligence Platform
DuckDB
Feast
Google Cloud Platform
Great Expectations
Horovod
Hugging Face
MLflow
ONNX
Polars
PyTorch
Ray
SQLAlchemy
TensorFlow
Union Cloud
dbt

Integrations Supported

Amazon Athena
Apache Hive
Apache Parquet
Apache Spark
Databricks Data Intelligence Platform
DuckDB
Feast
Google Cloud Platform
Great Expectations
Horovod
Hugging Face
MLflow
ONNX
Polars
PyTorch
Ray
SQLAlchemy
TensorFlow
Union Cloud
dbt

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

$27/month
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Union.ai

Date Founded

2020

Company Location

United States

Company Website

flyte.org

Company Facts

Organization Name

Creu Labs

Date Founded

2025

Company Location

United Kingdom

Company Website

etlr.io

Categories and Features

Machine Learning

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

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