• Home
  • Amazon SageMaker vs. dotData

Amazon SageMaker vs dotData comparison

Cancel
You must select at least 2 products to compare!
Amazon Web Services (AWS) Logo
Amazon SageMaker
Read 19 Amazon SageMaker reviews
11,426 views|9,062 comparisons
84% willing to recommend
dotData Logo
dotData
135 views|68 comparisons
Comparison Buyer's Guide
Download the complete report
Buyer's Guide
Data Science Platforms
April 2024
Executive Summary

We performed a comparison between Amazon SageMaker and dotData 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: April 2024).
Download the complete report
769,630 professionals have used our research since 2012.
Featured Review
Subhash Vaid
Simplifies the end-to-end machine learning process but there is room for improvement in the user experience
Amazon SageMaker has significantly enhanced our organization by consistently introducing new features like model tracking and recently integrating... Read more →
Use dotData?
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
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 →

    Information Not Available
    report
    See Which Vendors Are Best For You
    Use our free recommendation engine to learn which Data Science Platforms solutions are best for your needs.
    See Recommendations
    769,630 professionals have used our research since 2012.
    Questions from the Community
    How would you compare Databricks vs Amazon SageMaker?
    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 »
    What do you like most about Amazon SageMaker?
    Top Answer:The tool makes our ML model development a bit more efficient because everything is in one environment.
    Read all 15 answers   →
    What is your experience regarding pricing and costs for Amazon SageMaker?
    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 »
    Read all 13 answers   →
    Ask a question

    Earn 20 points

    Ranking
    5th
    out of 63 in Data Science Platforms
    Views
    11,426
    Comparisons
    9,062
    Reviews
    11
    Average Words per Review
    536
    Rating
    7.2
    35th
    out of 63 in Data Science Platforms
    Views
    135
    Comparisons
    68
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    Comparisons
    Also Known As
    AWS SageMaker, SageMaker
    Learn More
    Amazon Web Services (AWS)
    dotData
    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.

    dotData provides an entirely new way to accelerate and automate your AI and ML projects. Powered by cutting-edge machine learning and AI algorithms, dotData provides the world's only full-cycle Data Science Platform that can automate 100% of your data science life-cycle.

    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%
    No Data Available
    Company Size
    REVIEWERS
    Small Business15%
    Midsize Enterprise40%
    Large Enterprise45%
    VISITORS READING REVIEWS
    Small Business15%
    Midsize Enterprise17%
    Large Enterprise68%
    No Data Available
    Buyer's Guide
    Data Science Platforms
    April 2024
    Download Free Report
    Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms. Updated: April 2024.
    DOWNLOAD NOW
    769,630 professionals have used our research since 2012.

    Amazon SageMaker is ranked 5th in Data Science Platforms with 19 reviews while dotData is ranked 35th in Data Science Platforms. Amazon SageMaker is rated 7.4, while dotData is rated 0.0. 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, Amazon SageMaker is most compared with Databricks, Azure OpenAI, Google Vertex AI, Domino Data Science Platform and Microsoft Azure Machine Learning Studio, whereas dotData is most compared with Databricks.

    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.