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Amazon SageMaker vs Databricks comparison

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12,554 views|10,297 comparisons
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30,779 views|25,469 comparisons
Featured Review
Find out what your peers are saying about Amazon SageMaker vs. Databricks and other solutions. Updated: January 2022.
563,780 professionals have used our research since 2012.
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
"The deployment is very good, where you only need to press a few buttons.""Allows you to create API endpoints.""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."

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"Databricks gives you the flexibility of using several programming languages independently or in combination to build models.""The solution is very easy to use.""The integration with Python and the notebooks really helps.""It's easy to increase performance as required.""Can cut across the entire ecosystem of open source technology to give an extra level of getting the transformatory process of the data.""I like the ability to use workspaces with other colleagues because you can work together even without seeing the other team's job.""The most valuable feature is the ability to use SQL directly with Databricks.""The technical support is good."

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"Lacking in some machine learning pipelines.""Scalability to handle big data can be improved by making integration with networks such as Hadoop and Apache Spark easier.""AI is a new area and AWS needs to have an internship training program available."

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"Databricks is an analytics platform. It should offer more data science. It should have more features for data scientists to work with.""I would like to see more documentation in terms of how an end-user could use it, and users like me can easily try it and implement use cases.""Pricing is one of the things that could be improved.""There should be better integration with other platforms.""Implementation of Databricks is still very code heavy.""The initial setup is difficult.""The product needs samples and templates to help invite users to see results and understand what the product can do.""Databricks requires writing code in Python or SQL, so if you're a good programmer then you can use Databricks."

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Pricing and Cost Advice
  • "The support costs are 10% of the Amazon fees and it comes by default."
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  • "Licensing on site I would counsel against, as on-site hardware issues tend to really delay and slow down delivery."
  • "We find Databricks to be very expensive, although this improved when we found out how to shut it down at night."
  • "The pricing depends on the usage itself."
  • "I am based in South Africa, where it is expensive adapting to the cloud, and then there is the price for the tool itself."
  • "The price is okay. It's competitive."
  • "Databricks uses a price-per-use model, where you can use as much compute as you need."
  • "There are different versions."
  • "The solution uses a pay-per-use model with an annual subscription fee or package. Typically this solution is used on a cloud platform, such as Azure or AWS, but more people are choosing Azure because the price is more reasonable."
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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: 
    Databricks gives you the option of working with several different languages, such as SQL, R, Scala, Apache Spark, or Python. It offers many different cluster choices and excellent integration with… more »
    Top Answer: 
    Databricks is an easy-to-set-up and versatile tool for data management, analysis, and business analytics. For analytics teams that have to interpret data to further the business goals of their… more »
    Top Answer: 
    The initial setup is pretty easy.
    Average Words per Review
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    Also Known As
    AWS SageMaker, SageMaker
    Databricks Unified Analytics, Databricks Unified Analytics Platform, Redash
    Learn More

    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.

    Databricks creates a Unified Analytics Platform that accelerates innovation by unifying data science, engineering, and business. It utilizes Apache Spark to help clients with cloud-based big data processing. It puts Spark on “autopilot” to significantly reduce operational complexity and management cost. The Databricks I/O module (DBIO) improves the read and write performance of Apache Spark in the cloud. An increase in productivity is ensured through Databricks’ collaborative workplace.

    Learn more about Amazon SageMaker
    Learn more about Databricks
    Sample Customers
    DigitalGlobe, Thomson Reuters Center for AI and Cognitive Computing, Hotels.com, GE Healthcare, Tinder, Intuit
    Elsevier, MyFitnessPal, Sharethrough, Automatic Labs, Celtra, Radius Intelligence, Yesware
    Top Industries
    Computer Software Company23%
    Media Company14%
    Comms Service Provider14%
    Financial Services Firm8%
    Financial Services Firm15%
    Computer Software Company15%
    Mining And Metals Company15%
    Energy/Utilities Company8%
    Computer Software Company27%
    Comms Service Provider15%
    Financial Services Firm8%
    Company Size
    Midsize Enterprise57%
    Large Enterprise43%
    Small Business11%
    Midsize Enterprise18%
    Large Enterprise71%
    Small Business25%
    Midsize Enterprise19%
    Large Enterprise56%
    Find out what your peers are saying about Amazon SageMaker vs. Databricks and other solutions. Updated: January 2022.
    563,780 professionals have used our research since 2012.

    Amazon SageMaker is ranked 9th in Data Science Platforms with 3 reviews while Databricks is ranked 2nd in Data Science Platforms with 22 reviews. Amazon SageMaker is rated 7.6, while Databricks is rated 7.8. The top reviewer of Amazon SageMaker writes "Good deployment and monitoring features, but the interface could use some improvement". On the other hand, the top reviewer of Databricks writes "Has a good feature set but it needs samples and templates to help invite users to see results". Amazon SageMaker is most compared with Microsoft Azure Machine Learning Studio, Dataiku Data Science Studio, Domino Data Science Platform, KNIME and H2O.ai, whereas Databricks is most compared with Microsoft Azure Machine Learning Studio, Azure Stream Analytics, Alteryx, Dataiku Data Science Studio and Google Cloud Datalab. See our Amazon SageMaker vs. Databricks report.

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    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.