Compare Amazon SageMaker vs. Databricks

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Amazon SageMaker Logo
10,392 views|9,138 comparisons
Databricks Logo
17,674 views|15,203 comparisons
Most Helpful Review
Find out what your peers are saying about Amazon SageMaker vs. Databricks and other solutions. Updated: September 2020.
441,726 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:

Pros
"The few projects we have done have been promising.""They are doing a good job of evolving.""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.""Allows you to create API endpoints.""The deployment is very good, where you only need to press a few buttons."

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"We are completely satisfied with the ease of connecting to different sources of data or pocket files in the search""Automation with Databricks is very easy when using the API.""Databricks is based on a Spark cluster and it is fast. Performance-wise, it is great.""The most valuable aspect of the solution is its notebook. It's quite convenient to use, both terms of the research and the development and also the final deployment, I can just declare the spark jobs by the load tables. It's quite convenient.""I work in the data science field and I found Databricks to be very useful.""The time travel feature is the solution's most valuable aspect.""I haven't heard about any major stability issues. At this time I feel like it's stable.""Imageflow is a visual tool that helps make it easier for business people to understand complex workflows."

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Cons
"I would say the IDE is quite immature, but it is still in its infancy, so I expect it to get better over time.""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.""AI is a new area and AWS needs to have an internship training program available.""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."

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"The integration features could be more interesting, more involved.""Some of the error messages that we receive are too vague, saying things like "unknown exception", and these should be improved to make it easier for developers to debug problems.""It should have more compatible and more advanced visualization and machine learning libraries.""The solution could be improved by integrating it with data packets. Right now, the load tables provide a function, like team collaboration. Still, it's unclear as to if there's a function to create different branches and/or more branches. Our team had used data packets before, however, I feel it's difficult to integrate the current with the previous data packets.""It would be very helpful if Databricks could integrate with platforms in addition to Azure.""Databricks is an analytics platform. It should offer more data science. It should have more features for data scientists to work with.""Pricing is one of the things that could be improved.""The product needs samples and templates to help invite users to see results and understand what the product can do."

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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."

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"Whenever we want to find the actual costing, we have to send an email to Databricks, so having the information available on the internet would be helpful.""I do not exactly know the costs, but one of our clients pays between $100 USD and $200 USD monthly.""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."

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Questions from the Community
Top Answer: Allows you to create API endpoints.
Top Answer: The pricing for the Notebook endpoints is a bit high, but generally reasonable.
Top Answer: The product has come a long way and they've added a lot of things, but in terms of improvement I would like to probably have features such as MLflow embedded into it. Additional features I would like… more »
Top Answer: The most valuable feature is the ability to use SQL directly with Databricks.
Top Answer: We find Databricks to be very expensive, although this improved when we found out how to shut it down at night.
Top Answer: I have seen better user interfaces, so that is something that can be improved. It was quite hard to deploy.
Ranking
14th
Views
10,392
Comparisons
9,138
Reviews
4
Average Words per Review
510
Avg. Rating
7.5
2nd
Views
17,674
Comparisons
15,203
Reviews
13
Average Words per Review
615
Avg. Rating
8.1
Popular Comparisons
Compared 8% of the time.
Compared 7% of the time.
Compared 5% of the time.
Also Known As
AWS SageMaker, SageMakerDatabricks Unified Analytics, Databricks Unified Analytics Platform, Redash
Learn
Amazon
Databricks
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.

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.

Offer
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, IntuitElsevier, MyFitnessPal, Sharethrough, Automatic Labs, Celtra, Radius Intelligence, Yesware
Top Industries
VISITORS READING REVIEWS
Computer Software Company33%
Media Company21%
Comms Service Provider9%
Insurance Company5%
VISITORS READING REVIEWS
Computer Software Company38%
Media Company10%
Comms Service Provider9%
Government5%
Find out what your peers are saying about Amazon SageMaker vs. Databricks and other solutions. Updated: September 2020.
441,726 professionals have used our research since 2012.
Amazon SageMaker is ranked 14th in Data Science Platforms with 5 reviews while Databricks is ranked 2nd in Data Science Platforms with 14 reviews. Amazon SageMaker is rated 7.6, while Databricks is rated 8.0. 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, 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, H2O.ai and Cloudera Data Science Workbench, 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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