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.
Download the entire Product Scorecard
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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.
89 Likeliness to Recommend
100 Plan to Renew
85 Satisfaction of Cost Relative to Value
Up
1
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Emotional Footprint Overview
- Product Experience:
- 89%
- Negotiation and Contract:
- 94%
- Conflict Resolution:
- 93%
- Strategy & Innovation:
- 89%
- Service Experience:
- 95%
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
Feature Engineering
Algorithm Diversity
Performance and Scalability
Data Labeling
Model Monitoring and Management
Model Training
Model Tuning
Openness and Flexibility
Data Pre-Processing
Ensembling
Data Exploration and Visualization
Vendor Capability Ratings
Quality of Features
Breadth of Features
Ease of Customization
Availability and Quality of Training
Business Value Created
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
David R.
- Role: Information Technology
- Industry: Media
- Involvement: End User of Application
Submitted Jan 2024
Tensorflow is awesome!
Likeliness to Recommend
What differentiates TensorFlow TFX from other similar products?
TensorFlow ML is a powerhouse in ML with its open-source framework and extensive community support.
What is your favorite aspect of this product?
Fine-tuning models for specific media content nuances is a breeze. Robust API support.
What do you dislike most about this product?
The complexity of deploying models on edge devices. Simplifying the process for non-technical users would broaden the accessibility of TensorFlow ML
What recommendations would you give to someone considering this product?
If you seek a versatile, community-backed machine learning framework with vast customization options, then TensorFlow ML is your guy.
Pros
- Inspires Innovation
- Transparent
- Friendly Negotiation
- Helps Innovate
Vaibhav B.
- Role: Industry Specific Role
- Industry: Biotechnology
- Involvement: End User of Application
Submitted Oct 2023
Very smooth platform! Scalability must have!
Likeliness to Recommend
What differentiates TensorFlow TFX from other similar products?
It’s highly scalable and very easy to use! It makes model management super easy as well!
What is your favorite aspect of this product?
Very scalable. Easy to use!
What do you dislike most about this product?
It I s expensive!
What recommendations would you give to someone considering this product?
Use it, it will change your workflow! It’s amazing for scalability!
Pros
- Helps Innovate
- Enables Productivity
- Continually Improving Product
- Reliable
Cons
- Less Transparent
TamunoBelema A.
- Role: Consultant
- Industry: Technology
- Involvement: IT Development, Integration, and Administration
Submitted May 2025
TFX REVIEW: THE MLOPS POWERHOUSE WORTH THE CLIMB
Likeliness to Recommend
What differentiates TensorFlow TFX from other similar products?
It is production focused, unlike other ML libraries that focus on model training, TFX provides components for every step of the MLops lifecycle.
What is your favorite aspect of this product?
It’s the robust handling of data validation and transformation to prevent training-serving skew.
What do you dislike most about this product?
Its initial complexity
What recommendations would you give to someone considering this product?
If you are serious about building robust and scalable and reproducible machine learning systems, i recommend TFX because of how it deals with evolving data, it has a built in validation and transformation capabilities that are very valuable and helps to ensure data consistency between training and serving.
Pros
- Continually Improving Product
- Reliable
- Performance Enhancing
- Trustworthy
Cons
- Leverages Incumbent Status
- Security Frustrates
