Amazon SageMaker vs Data Science Workbench

Likelihood to Recommend

Amazon SageMaker is a great tool for developing machine learning models that take more effort than just point-and-click type of analyses. The software works well with the other tools in the Amazon ecosystem, so if you use Amazon Web Services or are thinking about it, SageMaker would be a great addition. SageMaker is great for consumer insights, predictive analytics, and looking for gems of insight in the massive amounts of data we create. SageMaker is less suitable for analysts who do generally "small" data analyses, and "small" data analyses in today's world can be billions of records.

Read full review

Thomas Young

Owner, previous CEO

Econometric StudiosFinancial Services, 11-50 employees

View all 5 answers on this topic

Organizations which already implemented on-premise Hadoop based Cloudera Data Platform (CDH) for their Big Data warehouse architecture will definitely get more value from seamless integration of Cloudera Data Science Workbench (CDSW) with their existing CDH Platform. However, for organizations with hybrid (cloud and on-premise) data platform without prior implementation of CDH, implementing CDSW can be a challenge technically and financially.

Read full review

Verified User

Professional in Information Technology

Telecommunications Company, 1001-5000 employees

View all 3 answers on this topic

Feature Rating Comparison

Amazon SageMaker

Data Science Workbench

Connect to Multiple Data Sources

Extend Existing Data Sources

Automatic Data Format Detection

MDM Integration

Amazon SageMaker

Data Science Workbench

Visualization

Interactive Data Analysis

Amazon SageMaker

Data Science Workbench

Interactive Data Cleaning and Enrichment

Data Transformations

Data Encryption

Built-in Processors

Amazon SageMaker

Data Science Workbench

Multiple Model Development Languages and Tools

Automated Machine Learning

Single platform for multiple model development

Self-Service Model Delivery

Amazon SageMaker

Data Science Workbench

Flexible Model Publishing Options

Security, Governance, and Cost Controls

Pros

Provides enough freedom for experienced data scientists and also for those who just need things done without going much deeper into building models.
Customization and easy to alter and change.
If you already are an Amazon user, you do not need to transition over to another software.

Read full review

Verified User

Employee in Human Resources

Real Estate Company, 1001-5000 employees

View all 5 answers on this topic

One single IDE (browser based application) that makes Scala, R, Python integrated under one tool
For larger organizations/teams, it lets you be self reliant
As it sits on your cluster, it has very easy access of all the data on the HDFS
Linking with Github is a very good way to keep the code versions intact

Read full review

Bharadwaj (Brad) Chivukula

Sr.Technical Manager/Delivery Manager

Nisum Technologies, Inc.Retail, 10,001+ employees

View all 3 answers on this topic

Cons

It's very good for the hardcore programmer, but a little bit complex for a data scientist or new hire who does not have a strong programming background.
Most of the popular library and ML frameworks are there, but we still have to depend on them for new releases.

Read full review

Verified User

Employee in Research & Development

Computer Software Company, 501-1000 employees

View all 5 answers on this topic

Installation is difficult.
Upgrades are difficult.
Licensing options are not flexible.

Read full review

Verified User

Professional in Research & Development

Utilities Company, 10,001+ employees

View all 3 answers on this topic

Support Rating

No score

No answers yet

No answers on this topic

Data Science Workbench 7.1

Based on 2 answers

Cloudera Data Science Workbench has excellence online resources support such as documentation and examples. On top of that the enterprise license also comes with SLA on opening a ticket to Cloudera Services and support for complaint handling and troubleshooting by email or through a phone call. On top of that it also offers additional paid training services.

Read full review

Verified User

Professional in Information Technology

Telecommunications Company, 1001-5000 employees

View all 2 answers on this topic

Alternatives Considered

Amazon SageMaker took the heavy lifting out of building and creating models. It allowed for our organization to use our current system for integration and essentially added on a feature to help all levels of Data scientists and IT professionals in our department and company as a whole. The training was simple as well.

Read full review

Verified User

Professional in Legal

Legal Services Company, 51-200 employees

View all 5 answers on this topic

Both the tools have similar features and have made it pretty easy to install/deploy/use. Depending on your existing platform (Cloudera vs. Azure) you need to pick the Workbench. Another observation is that Cloudera has better support where you can get feedback on your questions pretty fast (unlike MS). As its a new product, I expect MS to be more efficient in handling customers questions.

Read full review

Bharadwaj (Brad) Chivukula

Sr.Technical Manager/Delivery Manager

Nisum Technologies, Inc.Retail, 10,001+ employees

View all 3 answers on this topic

Return on Investment

We have been able to deliver data products more rapidly because we spend less time building data pipelines and model servers.
We can prototype more rapidly because it is easy to configure notebooks to access AWS resources.
For our use-cases, serving models is less expensive with SageMaker than bespoke servers.

Read full review

Gavin Hackeling

Data Scientist

Wonder (AskWonder.com)Research, 11-50 employees

View all 5 answers on this topic

Paid off for demonstration purposes.

Read full review

Verified User

Professional in Research & Development

Utilities Company, 10,001+ employees

View all 3 answers on this topic

Pricing Details

General

Free Trial

—

Free/Freemium Version

—

Premium Consulting/Integration Services

—

Entry-level set up fee?

No

General

Free Trial

—

Free/Freemium Version

—

Premium Consulting/Integration Services

—

Entry-level set up fee?

No

Rating Summary

Amazon SageMaker

Data Science Workbench

Amazon SageMaker

Data Science Workbench

Likelihood to Recommend