Amazon SageMaker vs Replicate comparison

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Amazon Web Services (AWS) Logo
4,339 views|3,405 comparisons
84% willing to recommend
Replicate Logo
670 views|633 comparisons
100% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Amazon SageMaker and Replicate based on real PeerSpot user reviews.

Find out what your peers are saying about Microsoft, Google, TensorFlow and others in AI Development Platforms.
To learn more, read our detailed AI Development Platforms Report (Updated: April 2024).
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Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"The superb thing that SageMaker brings is that it wraps everything well. It's got the deployment, the whole framework.""The product aggregates everything we need to build and deploy machine learning models in one place.""The deployment is very good, where you only need to press a few buttons.""Allows you to create API endpoints.""I have contacted the solution's technical support, and they were really good. I rate the technical support a ten out of ten.""We've had no problems with SageMaker's stability.""The solution is easy to scale...The documentation and online community support have been sufficient for us so far.""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."

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

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Cons
"The solution needs to be cheaper since it now charges per document for extraction.""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.""The solution is complex to use.""There are other better solutions for large data, such as Databricks.""Scalability to handle big data can be improved by making integration with networks such as Hadoop and Apache Spark easier.""Amazon SageMaker could improve in the area of hyperparameter tuning by offering more automated suggestions and tips during the tuning process.""In my opinion, one improvement for Amazon SageMaker would be to offer serverless GPUs. Currently, we incur costs on an hourly basis. It would be beneficial if the tool could provide pay-as-you-go pricing based on endpoints.""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."

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"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."

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Pricing and Cost Advice
  • "The pricing is complicated as it is based on what kind of machines you are using, the type of storage, and the kind of computation."
  • "The support costs are 10% of the Amazon fees and it comes by default."
  • "SageMaker is worth the money for our use case."
  • "Databricks solution is less costly than Amazon SageMaker."
  • "I would rate the solution's price a ten out of ten since it is very high."
  • "There is no license required for the solution since you can use it on demand."
  • "I rate the pricing a five on a scale of one to ten, where one is the lowest price, and ten is the highest price. The solution is priced reasonably. There is no additional cost to be paid in excess of the standard licensing fees."
  • "You don't pay for Sagemaker. You only pay for the compute instances in your storage."
  • More Amazon SageMaker Pricing and Cost Advice →

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    Questions from the Community
    Top Answer: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… more »
    Top Answer:The tool makes our ML model development a bit more efficient because everything is in one environment.
    Top Answer:The pricing is comparable. It is not very cheap. I rate the pricing an eight out of ten. The main reason why we're using it is because of its cost. We are aiming at keeping the costs at $100 per… more »
    Top Answer:Replicate is a beneficial tool for disaster recovery planning.
    Top Answer: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, so… more »
    Top Answer: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… more »
    Ranking
    5th
    Views
    4,339
    Comparisons
    3,405
    Reviews
    11
    Average Words per Review
    536
    Rating
    7.2
    12th
    Views
    670
    Comparisons
    633
    Reviews
    1
    Average Words per Review
    727
    Rating
    8.0
    Comparisons
    Also Known As
    AWS SageMaker, SageMaker
    Learn More
    Overview

    Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. Amazon SageMaker removes all the barriers that typically slow down developers who want to use machine learning.

    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.

    Sample Customers
    DigitalGlobe, Thomson Reuters Center for AI and Cognitive Computing, Hotels.com, GE Healthcare, Tinder, Intuit
    Information Not Available
    Top Industries
    REVIEWERS
    Computer Software Company22%
    Manufacturing Company11%
    Logistics Company11%
    Transportation Company11%
    VISITORS READING REVIEWS
    Financial Services Firm17%
    Educational Organization13%
    Computer Software Company11%
    Manufacturing Company7%
    VISITORS READING REVIEWS
    Computer Software Company14%
    University12%
    Comms Service Provider8%
    Financial Services Firm8%
    Company Size
    REVIEWERS
    Small Business15%
    Midsize Enterprise40%
    Large Enterprise45%
    VISITORS READING REVIEWS
    Small Business15%
    Midsize Enterprise17%
    Large Enterprise68%
    VISITORS READING REVIEWS
    Small Business28%
    Midsize Enterprise18%
    Large Enterprise54%
    Buyer's Guide
    AI Development Platforms
    April 2024
    Find out what your peers are saying about Microsoft, Google, TensorFlow and others in AI Development Platforms. Updated: April 2024.
    770,765 professionals have used our research since 2012.

    Amazon SageMaker is ranked 5th in AI Development Platforms with 19 reviews while Replicate is ranked 12th in AI Development Platforms with 1 review. Amazon SageMaker is rated 7.4, while Replicate is rated 8.0. The top reviewer of Amazon SageMaker writes "Easy to use and manage, but the documentation does not have a lot of information". On the other hand, the top reviewer of Replicate writes "Easy to use and good for disaster recovery planning". Amazon SageMaker is most compared with Databricks, Azure OpenAI, Google Vertex AI, Domino Data Science Platform and Microsoft Azure Machine Learning Studio, whereas Replicate is most compared with Hugging Face, Together Inference, Google Vertex AI and Azure OpenAI.

    See our list of best AI Development Platforms vendors.

    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.