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TensorFlow TFX Logo Award Winner Product Badge
TensorFlow TFX Logo Award Winner Product Badge
TensorFlow

TensorFlow TFX

Composite Score
8.3 /10
CX Score
8.5 /10
Category
TensorFlow TFX
8.3 /10

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.

Company Details


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Awards & Recognition

TensorFlow TFX won the following awards in the Machine Learning Platforms category

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TensorFlow TFX Ratings

Real user data aggregated to summarize the product performance and customer experience.
Download the entire Product Scorecard to access more information on TensorFlow TFX.

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

Down 3
Since last award

100 Plan to Renew

84 Satisfaction of Cost Relative to Value

Down 3
Since last award


Emotional Footprint Overview

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Emotional Footprint Overview

Product Experience:
90%
Negotiation and Contract:
93%
Conflict Resolution:
92%
Strategy & Innovation:
90%
Service Experience:
94%

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.

+92 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?

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0% Negative
5% Neutral
95% Positive

Pros

  • Continually Improving Product
  • Trustworthy
  • Efficient Service
  • Caring

Feature Ratings

Average 84

Feature Engineering

88

Performance and Scalability

86

Algorithm Diversity

86

Data Labeling

85

Model Monitoring and Management

84

Model Tuning

84

Model Training

83

Data Exploration and Visualization

83

Ensembling

82

Data Pre-Processing

82

Openness and Flexibility

82

Vendor Capability Ratings

Average 82

Quality of Features

85

Breadth of Features

85

Ease of Customization

85

Ease of IT Administration

83

Product Strategy and Rate of Improvement

83

Business Value Created

83

Availability and Quality of Training

83

Ease of Implementation

80

Usability and Intuitiveness

79

Ease of Data Integration

78

Vendor Support

74

TensorFlow TFX Reviews

Habeeblahi B.

  • Role: Information Technology
  • Industry: Technology
  • Involvement: IT Development, Integration, and Administration
Validated Review
Verified Reviewer

Submitted Apr 2023

Easy to use, great features

Likeliness to Recommend

8 /10

What differentiates TensorFlow TFX from other similar products?

TensorFlow TFX is different from other similar product due to its integration with TensorFlow which is an open-source machine learning framework and this makes it easy to leverage the vast ecosystem of TensorFlow tools, libraries, and pre-trained models.

What is your favorite aspect of this product?

My favorite aspect of TensorFlow TFX is the scalability which allows handling of large datasets and can scale to handle distributed training across multiple machines.

What do you dislike most about this product?

i have no feature i dislike in TensorFlow TFX.

What recommendations would you give to someone considering this product?

My main recommendation would be to take advantage of the TFX community. TensorFlow TFX has a large and growing community of users and developers. Take advantage of this community by joining forums, attending meetups, and asking questions.

Pros

  • Helps Innovate
  • Inspires Innovation
  • Caring
  • Altruistic

Kevin S.

  • Role: Information Technology
  • Industry: Technology
  • Involvement: End User of Application
Validated Review
Verified Reviewer

Submitted Feb 2023

Handy product for model creation of deep learning

Likeliness to Recommend

10 /10

What differentiates TensorFlow TFX from other similar products?

It is having multiple libraries like Keras and other properties to create tensor where mathematical operations can be easily performed and is more scalable than other libraries.Also the deep learning neural networks are created using this tool for the tensorflow library which is easily accessible

What is your favorite aspect of this product?

Its user interface and command prompt

What do you dislike most about this product?

Everything is perfect for this product

What recommendations would you give to someone considering this product?

Highly recommendable for deep neural networks

Pros

  • Helps Innovate
  • Continually Improving Product
  • Reliable
  • Performance Enhancing

Ashay S.

  • Role: Information Technology
  • Industry: Technology
  • Involvement: IT Development, Integration, and Administration
Validated Review
Verified Reviewer

Submitted Jan 2023

Great for Designing End to End ML pipelines

Likeliness to Recommend

10 /10

What differentiates TensorFlow TFX from other similar products?

The best part about TFX is since it is built on top of TensorFlow which many are familiar with it makes it easier to use due to having similar syntax and features. It also helps integrate it with TensorFlow's data integration and validation tools.

What is your favorite aspect of this product?

TFX integrates with GCP, making model deployment to Cloud AI Platform and Cloud ML Engine simple .GCP integration offers built-in integration with BigQuery, Dataflow, and Bigtable. Versioning, rollback, and monitoring in TFX help manage model deployments and rollbacks in case of problems. TFX lets data scientists and ML developers track model performance over time and learn how to improve it.

What do you dislike most about this product?

It might be daunting to start with it for beginners but as an experienced data scientist I have so far have no major dislikes with this.

What recommendations would you give to someone considering this product?

If you're looking for a top-tier MLOps solution that's also straightforward to integrate with Google's top-tier ML services, look no further. It has the potential to be a helpful tool for automating the many pipelines used in the development process, which in turn may save both time and money.

Pros

  • Helps Innovate
  • Continually Improving Product
  • Reliable
  • Performance Enhancing

Most Popular TensorFlow TFX Comparisons

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