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Compare Amazon SageMaker vs. Databricks

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Amazon SageMaker Logo
12,692 views|10,450 comparisons
Databricks Logo
30,399 views|25,220 comparisons
Featured Review
Find out what your peers are saying about Amazon SageMaker vs. Databricks and other solutions. Updated: November 2021.
554,676 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
"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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"The solution is easy to use and has a quick start-up time due to being on the cloud.""The most valuable feature is the ability to use SQL directly with Databricks.""Databricks is based on a Spark cluster and it is fast. Performance-wise, it is great.""It's easy to increase performance as required.""It's great technology.""Databricks gives you the flexibility of using several programming languages independently or in combination to build models.""The initial setup is pretty easy.""Ability to work collaboratively without having to worry about the infrastructure."

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Cons
"Scalability to handle big data can be improved by making integration with networks such as Hadoop and Apache Spark easier.""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."

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"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.""There should be better integration with other platforms.""Databricks requires writing code in Python or SQL, so if you're a good programmer then you can use Databricks.""There are no direct connectors — they are very limited.""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.""Instead of relying on a massive instance, the solution should offer micro partition levels. They're working on it, however, they need to implement it to help the solution run more effectively."

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Pricing and Cost Advice
"The support costs are 10% of the Amazon fees and it comes by default.""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."

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"The price is okay. It's competitive.""The solution requires a subscription.""Databricks uses a price-per-use model, where you can use as much compute as you need.""I am based in South Africa, where it is expensive adapting to the cloud, and then there is the price for the tool itself.""I do not exactly know the costs, but one of our clients pays between $100 USD and $200 USD monthly.""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.""There are different versions.""Licensing on site I would counsel against, as on-site hardware issues tend to really delay and slow down delivery."

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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.
Ranking
11th
Views
12,692
Comparisons
10,450
Reviews
3
Average Words per Review
596
Rating
8.0
2nd
Views
30,399
Comparisons
25,220
Reviews
25
Average Words per Review
538
Rating
7.9
Comparisons
Also Known As
AWS SageMaker, SageMaker
Databricks Unified Analytics, Databricks Unified Analytics Platform, Redash
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.

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, Intuit
Elsevier, MyFitnessPal, Sharethrough, Automatic Labs, Celtra, Radius Intelligence, Yesware
Top Industries
VISITORS READING REVIEWS
Computer Software Company24%
Media Company14%
Comms Service Provider14%
Financial Services Firm8%
REVIEWERS
Financial Services Firm18%
Computer Software Company18%
Mining And Metals Company18%
Energy/Utilities Company9%
VISITORS READING REVIEWS
Computer Software Company27%
Comms Service Provider15%
Financial Services Firm8%
Media Company5%
Company Size
REVIEWERS
Midsize Enterprise57%
Large Enterprise43%
REVIEWERS
Small Business12%
Midsize Enterprise19%
Large Enterprise69%
VISITORS READING REVIEWS
Small Business25%
Midsize Enterprise18%
Large Enterprise57%
Find out what your peers are saying about Amazon SageMaker vs. Databricks and other solutions. Updated: November 2021.
554,676 professionals have used our research since 2012.

Amazon SageMaker is ranked 11th in Data Science Platforms with 4 reviews while Databricks is ranked 2nd in Data Science Platforms with 25 reviews. Amazon SageMaker is rated 8.0, 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 KNIME, whereas Databricks is most compared with Microsoft Azure Machine Learning Studio, Azure Stream Analytics, Alteryx, Dataiku Data Science Studio and Dremio. 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.