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

TensorFlow TFX

8.2 /10
Category
TensorFlow TFX
8.2 /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.

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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.

92 Likeliness to Recommend

1
Since last award

100 Plan to Renew

87 Satisfaction of Cost Relative to Value

1
Since last award


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Emotional Footprint Overview

+97 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?

0% Negative
0% Neutral
100% Positive

Pros

  • Helps Innovate
  • Continually Improving Product
  • Reliable
  • Enables Productivity

Feature Ratings

Average 86

Data Labeling

90

Algorithm Diversity

90

Feature Engineering

88

Performance and Scalability

88

Data Exploration and Visualization

87

Model Monitoring and Management

87

Algorithm Recommendation

84

Ensembling

84

Pre-Packaged AI/ML Services

84

Model Tuning

84

Data Pre-Processing

84

Vendor Capability Ratings

Average 83

Quality of Features

89

Business Value Created

89

Breadth of Features

88

Ease of IT Administration

86

Ease of Customization

85

Product Strategy and Rate of Improvement

81

Availability and Quality of Training

81

Ease of Implementation

79

Vendor Support

78

Usability and Intuitiveness

77

Ease of Data Integration

75

TensorFlow TFX Reviews

Vijaya Phanindra K.

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

Submitted Aug 2024

Use Tensorflow in ML and DL applications

Likeliness to Recommend

10 /10

What differentiates TensorFlow TFX from other similar products?

Tensorflow provides vast libraries along with Python which is more reliable for coding

What is your favorite aspect of this product?

Keras and tensorflow libraries integration with python

What do you dislike most about this product?

Sometimes I felt the libraries gets updated too frequently which make me to change my code more often

What recommendations would you give to someone considering this product?

Tensorflow can be used in Linux environment as well with which we can integrate hardware like Raspberry pi

Pros

  • Helps Innovate
  • Respectful
  • Altruistic
  • Acts with Integrity

Kumar A.

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

Submitted Mar 2024

Fabulous And User friendly

Likeliness to Recommend

8 /10

What differentiates TensorFlow TFX from other similar products?

TensorFlow Extended (TFX) distinguishes itself by providing an end-to-end platform specifically tailored for productionizing machine learning models at scale, offering features like built-in support for TensorFlow, standardized components for data ingestion, validation, training, evaluation, and deployment, along with integration with TensorFlow Serving and Apache Beam for distributed processing, ensuring robustness, scalability, and ease of deployment in production environments.

What is your favorite aspect of this product?

TFX's comprehensive suite of tools and standardized components streamline the end-to-end process of deploying machine learning models at scale, ensuring efficiency and reliability in production environments.

What do you dislike most about this product?

I have no dis;like

What recommendations would you give to someone considering this product?

I would recommend thoroughly evaluating your organization's specific requirements and existing infrastructure to ensure compatibility and alignment with TFX's capabilities. Additionally, consider investing time in understanding TFX's architecture and components to maximize its benefits and streamline integration into your machine learning workflows.

Pros

  • Reliable
  • Enables Productivity
  • Trustworthy
  • Unique Features

Niharika M.

  • Role: Information Technology
  • Industry: Engineering
  • Involvement: IT Leader or Manager
Validated Review
Verified Reviewer

Submitted Mar 2024

Easy to deploy large model

Likeliness to Recommend

10 /10

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

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