Try our new research platform with insights from 80,000+ expert users

Amazon SageMaker vs Replicate comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

Amazon SageMaker
Ranking in AI Development Platforms
4th
Average Rating
7.8
Reviews Sentiment
9.1
Number of Reviews
29
Ranking in other categories
Data Science Platforms (5th)
Replicate
Ranking in AI Development Platforms
10th
Average Rating
8.0
Number of Reviews
1
Ranking in other categories
No ranking in other categories
 

Featured Reviews

Natu Lauchande - PeerSpot reviewer
Easy to use and manage, but the documentation does not have a lot of information
SageMaker Studio sounds very interesting. Feature Store and data pipeline features are very interesting. The product is a one-stop shop. It allows people without much engineering knowledge to try out and deploy models in environments similar to the production environments. The tool makes our ML model development a bit more efficient because everything is in one environment. It is easy to manage compared to when things were in different components of AWS. Amazon SageMaker is in AWS, so I need not pay two bills. It is one less system to manage, so it is easier.
reviewer2386686 - PeerSpot reviewer
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.

Quotes from Members

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

Pros

"The solution is easy to scale...The documentation and online community support have been sufficient for us so far."
"The most valuable features are the ability to store artifacts and gather reports and measures from experiments."
"I have contacted the solution's technical support, and they were really good. I rate the technical support a ten out of ten."
"SageMaker offers functionalities like Jupyter Notebooks for development, built-in algorithms, model tuning, and options to deploy models on managed infrastructure."
"The Autopilot feature is really good because it's helpful for people who don't have much experience with coding or data pipelines. When we suggest SageMaker to clients, they don't have to go through all the steps manually. They can leverage Autopilot to choose variables, run experiments, and monitor costs. The results are also pretty accurate."
"The intuitive interface and streamlined user experience make it easy to navigate and set up various tools like Visual Studio Code or Jupyter Notebook."
"They are doing a good job of evolving."
"We've had experience with unique ML projects using SageMaker. For example, we're developing a platform similar to ChatGPT that requires models. We utilize Amazon SageMaker to create endpoints for these models, making accessing them convenient as needed."
"Replicate is a beneficial tool for disaster recovery planning."
 

Cons

"I would say the IDE is quite immature, but it is still in its infancy, so I expect it to get better over time."
"The payment and monitoring metrics are a bit confusing not only for Amazon SageMaker but also for the range of other products that fall under AWS, especially for a new user of the product."
"Lacking in some machine learning pipelines."
"I would suggest that Amazon SageMaker provide free slots to allow customers to practice, such as a free slot to try out working with a Sandbox."
"The model repository is a concern as models are stored on a bucket and there's an issue with versioning."
"The platform could be more accessible to users with basic coding skills, making it more intuitive and easier for beginners to use comfortably."
"SageMaker would be improved with the addition of reporting services."
"In general, improvements are needed on the performance side of the product's graphical user interface-related area since it consumes a lot of time for a user."
"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 product is expensive."
"The pricing could be better, especially for querying. The per-query model feels expensive."
"The pricing is comparable."
"SageMaker is worth the money for our use case."
"The solution is relatively cheaper."
"There is no license required for the solution since you can use it on demand."
"The support costs are 10% of the Amazon fees and it comes by default."
"Amazon SageMaker is a very expensive product."
Information not available
report
Use our free recommendation engine to learn which AI Development Platforms solutions are best for your needs.
816,406 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
18%
Educational Organization
14%
Computer Software Company
11%
Manufacturing Company
8%
Computer Software Company
15%
Educational Organization
11%
University
10%
Comms Service Provider
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

How would you compare Databricks vs Amazon SageMaker?
We researched AWS SageMaker, but in the end, we chose Databricks. Databricks is a Unified Analytics Platform designed to accelerate innovation projects. It is based on Spark so it is very fast. It...
What do you like most about Amazon SageMaker?
We've had experience with unique ML projects using SageMaker. For example, we're developing a platform similar to ChatGPT that requires models. We utilize Amazon SageMaker to create endpoints for t...
What is your experience regarding pricing and costs for Amazon SageMaker?
The pricing is based on usage, and I find it reasonable for what we use it for.
What do you like most about Replicate?
Replicate is a beneficial tool for disaster recovery planning.
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,...
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...
 

Also Known As

AWS SageMaker, SageMaker
No data available
 

Learn More

 

Overview

 

Sample Customers

DigitalGlobe, Thomson Reuters Center for AI and Cognitive Computing, Hotels.com, GE Healthcare, Tinder, Intuit
Information Not Available
Find out what your peers are saying about Microsoft, Google, Amazon Web Services (AWS) and others in AI Development Platforms. Updated: November 2024.
816,406 professionals have used our research since 2012.