IBM Watson Machine Learning vs Replicate comparison

IBM and Replicate are both solutions in the AI Development Platforms category. IBM is ranked #11 with an average rating of 8.5, while Replicate is ranked #10 with an average rating of 8.0. Additionally, 100% of IBM users are willing to recommend the solution, compared to 100% of Replicate users who would recommend it.

IBM Watson Machine Learning

Read 7 IBM Watson Machine Learning reviews

1,360 Views
993 Comparison Views

100% willing to recommend

Replicate

Read 1 Replicate review

1,640 Views
1,550 Comparison Views

100% willing to recommend

IBM Watson Machine Learning

Replicate

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Executive Summary

We performed a comparison between IBM Watson Machine Learning and Replicate based on real PeerSpot user reviews.

Find out what your peers are saying about Microsoft, Google, Amazon Web Services (AWS) and others in AI Development Platforms.

To learn more, read our detailed AI Development Platforms Report (Updated: October 2024).

Buyer's Guide

AI Development Platforms

October 2024

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Helped 813,418 peers since 2012

Categories and Ranking

IBM Watson Machine Learning

Ranking in AI Development Platforms

11th

Average Rating

8.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Replicate

Ranking in AI Development Platforms

10th

Average Rating

8.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Featured Reviews

Anurag Mayank

Manager at Maruti Suzuki India Limited

Mar 16, 2023

A highly efficient solution that delivers the desired results to its users

We started to use the solution for POCs in our organization. So, we are not in a state where we use its services at a full-fledged level. Additionally, we use it to solve our queries and understand whether it is actually helping us solve our problems. Basically, this is how we have been using the…

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reviewer2386686

Junior Software Engineer at a comms service provider with 11-50 employees

Apr 5, 2024

Easy to use and good for disaster recovery planning

I use the tool for real-time data synchronization. Replicate is a beneficial tool for disaster recovery planning. The use cases attached to Replicate are very direct. I have used other products in the past, but they are not as efficient as Replicate. I feel Replicate is easier to use than other tools. Replicate has impacted our company's data integration processes by twenty to thirty percent. Overall, the product is easy to use. The product was also easy to configure. I recommend the product to others who plan to use it for real-time data integration. The product has been integrated into our company's existing infrastructure. I haven't done the integrations but I know that it was performed by someone else. I rate the tool an eight and a half out of ten.

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Quotes from Members

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

Pros

"It has improved self-service and customer satisfaction."

"Scalability-wise, I rate the solution ten out of ten."

"It is has a lot of good features and we find the image classification very useful."

"I was particularly interested in trying the AutoML feature to see how it handles data and proposes new models. The variety of models it provides is impressive."

"The most valuable aspect of the solution's the cost and human labor savings."

"The solution is very valuable to our organization due to the fact that we can work on it as a workflow."

"We can enable and change developer productivity with artificial intelligence-recommended code based on natural language input or exciting source code."

"Replicate is a beneficial tool for disaster recovery planning."

Cons

"Honestly, I haven't seen any comparative report that has run the same data through two different artificial intelligence or machine learning capabilities to get something out of it. I would love to see that."

"If I consider how we want to use it in our organization, certain areas of improvement can be addressed. For instance, we want to use it with Generative AI, not like ChatGPT, but in a way intended for industrial use."

"In future releases, I would like to see a more flexible environment."

"The supporting language is limited."

"They should add more GPU processing power to improve performance, especially when dealing with large amounts of data."

"Scaling is limited in some use cases. They need to make it easier to expand in all aspects."

"Sometimes training the model is difficult."

"I feel that the marketing activities of the product are an area of concern...Replicate is a very beneficial tool that should be marketed well enough in a good way."

Pricing and Cost Advice

"The pricing model is good."

"I've only been using the free tier, but it's quite competitive on a service basis."

Information not available

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Top Industries

By visitors reading reviews

Computer Software Company

15%

University

13%

Educational Organization

12%

Financial Services Firm

12%

Computer Software Company

14%

Educational Organization

13%

University

10%

Financial Services Firm

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What do you like most about IBM Watson Machine Learning?

I was particularly interested in trying the AutoML feature to see how it handles data and proposes new models. The variety of models it provides is impressive.

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What is your experience regarding pricing and costs for IBM Watson Machine Learning?

The solution is expensive.

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What needs improvement with IBM Watson Machine Learning?

Sometimes training the model is difficult. We need to have at least a few different components to evaluate and understand the behavior of different users to have a very, very high accuracy in the m...

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What do you like most about Replicate?

Replicate is a beneficial tool for disaster recovery planning.

See all answers

What needs improvement with Replicate?

I feel that the marketing activities of the product are an area of concern that needs to be taken care of from an improvement perspective. Replication was a tool that my company had never heard of,...

See all answers

What is your primary use case for Replicate?

Basically, I came across Replicate while searching for an open-source LLM model. Regarding my use case, from a prompt I want to generate an output response token of 25k tokens driver, but currently...

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Comparisons

Google Cloud AI Platform vs IBM Watson Machine Learning

Compared 65% of the time

Azure OpenAI vs IBM Watson Machine Learning

Compared 21% of the time

TensorFlow vs IBM Watson Machine Learning

Compared 10% of the time

IBM Watson Studio vs IBM Watson Machine Learning

Compared 3% of the time

More IBM Watson Machine Learning Competitors

Hugging Face vs Replicate

Compared 63% of the time

Together Inference vs Replicate

Compared 22% of the time

Amazon SageMaker vs Replicate

Compared 6% of the time

Fireworks AI vs Replicate

Compared 3% of the time

Google Vertex AI vs Replicate

Compared 3% of the time

More Replicate Competitors

Product Reports

Buyer's Guide

AI Development Platforms

October 2024

Download IBM Watson Machine Learning product report

Buyer's Guide

AI Development Platforms

October 2024

Download Replicate product report

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IBM

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Replicate

Overview

IBM Watson Machine Learning helps data scientists and developers accelerate AI and machine-learning deployment. With its open, extensible model operation, Watson Machine Learning helps businesses simplify and harness AI at scale across any cloud.

All the latest open-source models are on Replicate. They’re not just demos — they all actually work and have production-ready APIs.
AI shouldn’t be locked up inside academic papers and demos. Make it real by pushing it to Replicate.

Buyer's Guide

AI Development Platforms

October 2024

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Find out what your peers are saying about Microsoft, Google, Amazon Web Services (AWS) and others in AI Development Platforms. Updated: October 2024.

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We monitor all AI Development Platforms reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.