Amazon SageMaker vs Anaconda comparison

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12,289 views|9,636 comparisons
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2,965 views|2,207 comparisons
Comparison Buyer's Guide
Executive Summary

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

Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms.
To learn more, read our detailed Data Science Platforms Report (Updated: March 2024).
763,955 professionals have used our research since 2012.
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 most valuable feature of Amazon SageMaker for me is the model deployment service.""The most valuable feature of Amazon SageMaker is that you don't have to do any programming in order to perform some of your use cases.""The deployment is very good, where you only need to press a few buttons.""Feature Store, CodeCommit, versioning, model control, and CI/CD pipelines are the most valuable features in Amazon SageMaker.""The solution is easy to scale...The documentation and online community support have been sufficient for us so far.""The tool has made client management easier where patients need to upload their health records and we can use the tool to understand details on treatment date, amount, etc.""The few projects we have done have been promising.""The solution's ability to improve work at my organization stems from the ensemble model and a combination of various models it provides."

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"The most advantageous feature is the logic building.""With Anaconda Navigator, we have been able to use multiple IDEs such as JupyterLab, Jupyter Notebook, Spyder, Visual Studio Code, and RStudio in one place. The platform-agnostic package manager, "Conda", makes life easy when it comes to managing and installing packages.""The virtual environment is very good.""The product is responsive, sleek and has a beautiful interface that is pleasant to use. It helps users to easily share code.""The best part of Anaconda is the media distribution that comes as part of it. It gets us started very quickly.""The most valuable feature is the Jupyter notebook that allows us to write the Python code, compile it on the fly, and then look at the results.""I can use Anaconda for non-heavy tasks.""The solution is stable."

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Cons
"The solution needs to be cheaper since it now charges per document for extraction.""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 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 training modules could be enhanced. We had to take in-person training to fully understand SageMaker, and while the trainers were great, I think more comprehensive online modules would be helpful.""Creating notebook instances for multiple users is pretty expensive in Amazon SageMaker.""The product must provide better documentation.""I would say the IDE is quite immature, but it is still in its infancy, so I expect it to get better over time."

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"It crashes once in a while. In case of a reboot or something unexpected, the unseen code part will get diminished, and it relatively takes longer than other applications when a reboot is happening. They can improve in these areas. They can also bring some database software. They have software for analytics and virtualization. However, they don't have any software for the database.""One thing that hurts the product is that the company is not doing more to advertise it as a solution and make it more well known.""Anaconda should be optimized for RAM consumption.""When you install Anaconda for the first time, it's really difficult to update it.""Having a small guide or video on the tool would help learn how to use it and what the features are.""The ability to schedule scripts for the building and monitoring of jobs would be an advantage for this platform.""The interface could be improved. Other solutions, like Visual Studio, have much better UI.""One feature that I would like to see is being able to use a different language in a different cell, which would allow me to mix R and Python together."

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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 →

  • "The licensing costs for Anaconda are reasonable."
  • "The product is open-source and free to use."
  • "My company uses the free version of the tool. There is also a paid version of the tool available."
  • More Anaconda 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 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… more »
    Top Answer:There is room for improvement in the pricing. The pricing could be better, especially for querying. The per-query model feels expensive. It would be better to have tiered pricing based on query sets… more »
    Top Answer:Pricing is a matter of open source versus proprietary. Anaconda is open source and openly publishes their pricing models. RapidMiner is proprietary and you must receive a quote depending on your use… more »
    Ranking
    5th
    Views
    12,289
    Comparisons
    9,636
    Reviews
    10
    Average Words per Review
    533
    Rating
    7.2
    18th
    Views
    2,965
    Comparisons
    2,207
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    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.

    Anaconda makes it easy for you to install and maintain Python environments. Our development team tests to ensure compatibility of Python packages in Anaconda. We support and provide open source assurance for packages in Anaconda to mitigate your risk in using open source and meet your regulatory compliance requirements.

    Python is the fastest growing language for data science. Anaconda includes 720+ Python open source packages and now includes essential R packages. This powerful combination allows you to do everything you want from BI to advanced modeling on complex Big Data

    Sample Customers
    DigitalGlobe, Thomson Reuters Center for AI and Cognitive Computing, Hotels.com, GE Healthcare, Tinder, Intuit
    LinkedIn, NASA, Boeing, JP Morgan, Recursion Pharmaceuticals, DARPA, Microsoft, Amazon, HP, Cisco, Thomson Reuters, IBM, Bridgestone
    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%
    REVIEWERS
    Financial Services Firm27%
    Manufacturing Company18%
    Non Tech Company9%
    Energy/Utilities Company9%
    VISITORS READING REVIEWS
    Financial Services Firm17%
    Computer Software Company11%
    Government10%
    Manufacturing Company6%
    Company Size
    REVIEWERS
    Small Business16%
    Midsize Enterprise42%
    Large Enterprise42%
    VISITORS READING REVIEWS
    Small Business14%
    Midsize Enterprise17%
    Large Enterprise69%
    REVIEWERS
    Small Business41%
    Large Enterprise59%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise13%
    Large Enterprise69%
    Buyer's Guide
    Data Science Platforms
    March 2024
    Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms. Updated: March 2024.
    763,955 professionals have used our research since 2012.

    Amazon SageMaker is ranked 5th in Data Science Platforms with 12 reviews while Anaconda is ranked 18th in Data Science Platforms with 1 review. Amazon SageMaker is rated 7.2, while Anaconda is rated 7.8. The top reviewer of Amazon SageMaker writes "It’s low-price point makes it a great entry into machine learning, but it is difficult to learn to use". On the other hand, the top reviewer of Anaconda writes "Offers free version and is helpful to handle small-scale workloads". Amazon SageMaker is most compared with Databricks, Azure OpenAI, Google Vertex AI, Domino Data Science Platform and Google Cloud AI Platform, whereas Anaconda is most compared with Databricks, Microsoft Azure Machine Learning Studio, Microsoft Power BI, IBM SPSS Statistics and Domino Data Science Platform.

    See our list of best Data Science Platforms vendors.

    We monitor all Data Science 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.