![]() | Anonymous User Vice President & CIO at a logistics company |
We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
"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."
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.
Dremio is the Data-as-a-Service Platform. Created by veterans of open source and big data technologies, and the creators of Apache Arrow, Dremio is a fundamentally new approach to data analytics that helps companies get more value from their data, faster. Dremio makes data engineering teams more productive, and data consumers more self-sufficient.
Amazon SageMaker is ranked 12th in Data Science Platforms with 5 reviews while Dremio is ranked 21st in Data Science Platforms. Amazon SageMaker is rated 7.6, while Dremio is rated 0.0. The top reviewer of Amazon SageMaker writes "A solution with great computational storage, has many pre-built models, is stable, and has good support". On the other hand, Amazon SageMaker is most compared with Databricks, Microsoft Azure Machine Learning Studio, Dataiku Data Science Studio, H2O.ai and Domino Data Science Platform, whereas Dremio is most compared with Databricks, Alteryx, AtScale Adaptive Analytics (A3), Microsoft BI and Dataiku Data Science Studio.
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.