Distyl AI vs TensorFlow comparison

Distyl AI and TensorFlow are both solutions in the AI Development Platforms category. Distyl AI is ranked #27, while TensorFlow is ranked #8 with an average rating of 7.8. Distyl AI holds a 1.2% mindshare in AIDP, compared to TensorFlow’s 5.4% mindshare. Additionally, 100% of TensorFlow users are willing to recommend the solution.

Distyl AI

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TensorFlow

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100% willing to recommend

Distyl AI

TensorFlow

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Executive SummaryUpdated on Jan 11, 2026

TensorFlow and Distyl AI compete in AI and machine learning, with TensorFlow specializing in comprehensive solutions and Distyl AI focusing on data analysis. TensorFlow has an edge due to its broad range of features, while Distyl AI stands out in user-friendly deployment and customer service.

Features: TensorFlow provides extensive features for building end-to-end machine learning pipelines, including model building, training, and deployment across platforms. Its comprehensive toolkit supports complete AI model development. Distyl AI offers robust data processing and transformation capabilities, with an emphasis on ease of integration with existing data workflows and enhancing data processes.

Ease of Deployment and Customer Service: TensorFlow's deployment benefits from a well-documented setup but can be complex due to extensive configuration options. Distyl AI offers a straightforward deployment experience with responsive customer support for operational guidance, making it more accessible for rapid integration and ongoing assistance.

Pricing and ROI: TensorFlow typically entails a higher initial investment due to its extensive capabilities, providing significant long-term ROI for full-scale AI implementations. Distyl AI has a lower upfront cost, offering substantial ROI by streamlining data operations and providing adaptive solutions tailored to specific business needs. TensorFlow's comprehensive nature justifies its pricing, while Distyl AI is noted for cost-effectiveness and quick deployments.

To learn more, read our detailed AI Development Platforms Report (Updated: February 2026).

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February 2026

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Distyl AI

Ranking in AI Development Platforms

27th

Average Rating

0.0

Number of Reviews

Ranking in other categories

No ranking in other categories

TensorFlow

Ranking in AI Development Platforms

8th

Average Rating

8.8

Reviews Sentiment

7.4

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of February 2026, in the AI Development Platforms category, the mindshare of Distyl AI is 1.2%, up from 0.0% compared to the previous year. The mindshare of TensorFlow is 5.4%, up from 3.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.

AI Development Platforms Market Share Distribution
Product	Market Share (%)
TensorFlow	5.4%
Distyl AI	1.2%
Other	93.4%

AI Development Platforms

Featured Reviews

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Ton Jacobs

Owner at Go knowledge

Has good stability, but the process of creating models could be more user-friendly

The platform integrates well with other tools, especially Python, which we use to create models. These models can be deployed on mobile devices, which perfectly suits our requirements. It supports our AI-driven initiatives very well by producing AI models, which is its primary function. I recommend it for those seeking specialized scripting. However, it's important to consider other options as well. It is better suited for specialists in the field and is less user-friendly than general tools like Excel. I rate it overall at six out of ten. While it is a powerful tool, other software options are slightly simpler for training models.

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Top Industries

By visitors reading reviews

No data available

Manufacturing Company

15%

Comms Service Provider

University

Financial Services Firm

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	12
Midsize Enterprise	3
Large Enterprise	3

Questions from the Community

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What is your experience regarding pricing and costs for TensorFlow?

I am not familiar with the pricing setup cost and licensing.

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What needs improvement with TensorFlow?

Providing more control by allowing users to build custom functions would make TensorFlow a better option. It currently offers inbuilt functions, however, having the ability to implement custom libr...

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What is your primary use case for TensorFlow?

I've used TensorFlow for image classification tasks, object detection tasks, and OCR.

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Comparisons

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Compared 35% of the time

Hugging Face vs TensorFlow

Compared 10% of the time

OpenVINO vs TensorFlow

Compared 10% of the time

Google Vertex AI vs TensorFlow

Compared 7% of the time

Azure OpenAI vs TensorFlow

Compared 7% of the time

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Product Reports

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AI Development Platforms

February 2026

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Buyer's Guide

TensorFlow

January 2026

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Overview

Distyl AI transforms data interpretation by offering advanced AI-driven insights, enabling efficient decision-making for experts in data-intensive fields.

Distyl AI is designed to streamline data analysis processes, optimizing how businesses interact with their data. It offers an intelligent platform that transforms complex datasets into actionable insights, saving time and resources. By leveraging machine learning algorithms and intuitive interfaces, Distyl AI provides invaluable support for decision-makers looking to enhance productivity and drive growth.

What are the key features of Distyl AI?

Advanced Machine Learning: Utilizes sophisticated algorithms to process and analyze large datasets with precision.
Actionable Insights: Converts complex data into clear, actionable insights, aiding strategic decision-making.
Customizable Dashboards: Offers personalized dashboards to visualize data in ways that meet specific analytical needs.
Seamless Integration: Easily integrates with existing systems, maximizing operational efficiency.

What benefits should you expect from Distyl AI?

Increased Efficiency: Reduces time spent on data analysis, enabling faster decision-making processes.
Enhanced Decision Making: Provides deeper insights for informed decision-making, promoting business growth.
Cost Savings: Decreases operational costs by optimizing data management processes.
Scalability: Supports growth with scalable solutions, accommodating expanding data needs.

In industries such as finance, healthcare, and retail, Distyl AI integrates seamlessly to deliver tailored insights that match industry-specific requirements. By addressing unique data challenges, it enhances operational capabilities, facilitating better outcomes in competitive markets.

Distyl AI

TensorFlow is an open source software library for high performance numerical computation. Its flexible architecture allows easy deployment of computation across a variety of platforms (CPUs, GPUs, TPUs), and from desktops to clusters of servers to mobile and edge devices. Originally developed by researchers and engineers from the Google Brain team within Google’s AI organization, it comes with strong support for machine learning and deep learning and the flexible numerical computation core is used across many other scientific domains.

TensorFlow

Sample Customers

Information Not Available

Airbnb, NVIDIA, Twitter, Google, Dropbox, Intel, SAP, eBay, Uber, Coca-Cola, Qualcomm

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