What is TensorFlow TFX?
TFX is an end-to-end platform for deploying production ML pipelines. A TFX pipeline is a sequence of components that implement an ML pipeline which is specifically designed for scalable, high-performance machine learning tasks. Components are built using TFX libraries which can also be used individually. When you're ready to move your models from research to production, TFX can be used to create and manage a production pipeline.
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Real user data aggregated to summarize the product performance and customer experience.
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Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.
90 Likeliness to Recommend
1
Since last award
100 Plan to Renew
85 Satisfaction of Cost Relative to Value
1
Since last award
Emotional Footprint Overview
Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.
+93 Net Emotional Footprint
The emotional sentiment held by end users of the software based on their experience with the vendor. Responses are captured on an eight-point scale.
How much do users love TensorFlow TFX?
Pros
- Continually Improving Product
- Trustworthy
- Efficient Service
- Caring
How to read the Emotional Footprint
The Net Emotional Footprint measures high-level user sentiment towards particular product offerings. It aggregates emotional response ratings for various dimensions of the vendor-client relationship and product effectiveness, creating a powerful indicator of overall user feeling toward the vendor and product.
While purchasing decisions shouldn't be based on emotion, it's valuable to know what kind of emotional response the vendor you're considering elicits from their users.
Footprint
Negative
Neutral
Positive
Feature Ratings
Performance and Scalability
Feature Engineering
Data Labeling
Model Training
Algorithm Diversity
Model Monitoring and Management
Model Tuning
Openness and Flexibility
Ensembling
Data Pre-Processing
Data Exploration and Visualization
Vendor Capability Ratings
Quality of Features
Ease of Customization
Breadth of Features
Business Value Created
Availability and Quality of Training
Product Strategy and Rate of Improvement
Ease of IT Administration
Ease of Implementation
Ease of Data Integration
Usability and Intuitiveness
Vendor Support
TensorFlow TFX Reviews
Niharika M.
- Role: Information Technology
- Industry: Engineering
- Involvement: IT Leader or Manager
Submitted Mar 2024
Easy to deploy large model
Likeliness to Recommend
What differentiates TensorFlow TFX from other similar products?
the deployment part we can deploy large ml model in this and easy to use
What is your favorite aspect of this product?
the machine learning training and deployment part and also training part
What do you dislike most about this product?
nothing to dislike easy to use and large resources
What recommendations would you give to someone considering this product?
i'll recommend to everyone use it once
Pros
- Helps Innovate
- Continually Improving Product
- Performance Enhancing
- Enables Productivity
Ranjeet M.
- Role: Sales Marketing
- Industry: Technology
- Involvement: End User of Application
Submitted Dec 2023
Fantastic product
Likeliness to Recommend
What differentiates TensorFlow TFX from other similar products?
felxiblity ,easy to use, High level apis, it supposr various platform,it support for research and production,
What is your favorite aspect of this product?
Easy to use and sclable ,the most good part is taht it support multiple platform
What do you dislike most about this product?
Nothing as of dislike
What recommendations would you give to someone considering this product?
ITs open soures machine learning framework that make work easy, IT support multiple platform
Pros
- Helps Innovate
- Reliable
- Performance Enhancing
- Enables Productivity
Mohd K.
- Role: Information Technology
- Industry: Technology
- Involvement: IT Development, Integration, and Administration
Submitted Jul 2023
TFX: A Production-Ready Machine Learning Platform
Likeliness to Recommend
What differentiates TensorFlow TFX from other similar products?
TensorFlow Extended (TFX) is a production-ready machine learning platform that is designed to help you automate the ML process, from data preparation to model deployment. It provides a number of features that differentiate it from other similar products, including: A set of modular components A configuration framework Support for multiple ML framework
What is your favorite aspect of this product?
My favorite aspect of TensorFlow Extended (TFX) is its modularity. The platform is made up of a set of individual components that can be used to build ML pipelines. This makes it easy to customize your pipelines to meet your specific needs.
What do you dislike most about this product?
My biggest dislike about TensorFlow Extended (TFX) is its steep learning curve. The platform is complex and there is a lot to learn in order to use it effectively.
Pros
- Performance Enhancing
- Unique Features
- Fair
- Acts with Integrity
