Amazon SageMaker vs KNIME Analytics Platform

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.

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Thomas Young

Owner, previous CEO

Econometric StudiosFinancial Services, 11-50 employees

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If you have a team of engineers or data scientists who do not like to code, KNIME can be a good platform to build quick and dirty pipelines. However if you are moving away from R&D to deployment, KNIME lacks the scalability compared to Python or R itself. When deploying, you can choose to output json or use their native front end from KNIME Server, but KNIME Server is not free.

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Ivan Cui

Data Scientist - Biotech Data Science Digtialization (BDSD)

BayerPharmaceuticals, 10,001+ employees

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Feature Rating Comparison

Amazon SageMaker

KNIME Analytics Platform

Connect to Multiple Data Sources

Extend Existing Data Sources

Automatic Data Format Detection

MDM Integration

Amazon SageMaker

KNIME Analytics Platform

Visualization

Interactive Data Analysis

Amazon SageMaker

KNIME Analytics Platform

Interactive Data Cleaning and Enrichment

Data Transformations

Data Encryption

Built-in Processors

Amazon SageMaker

KNIME Analytics Platform

Multiple Model Development Languages and Tools

Automated Machine Learning

Single platform for multiple model development

Self-Service Model Delivery

Amazon SageMaker

KNIME Analytics Platform

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.

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Verified User

Employee in Human Resources

Real Estate Company, 1001-5000 employees

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KNIME works better than most tools for ETL functions.
Easy to track the different steps
Easy to isolate and fix specific workflow steps.

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Verified User

Analyst in Information Technology

Retail Company, 1001-5000 employees

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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.

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Verified User

Employee in Research & Development

Computer Software Company, 501-1000 employees

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Visualization can be improved further though it has been better with new versions, with a lot of scope available. However, connectivity to Tableau somehow overcomes this. Also, skilled resources are difficult to find for KNIME, due to other solutions having better penetration.
Knowledge of R/Python is required to fully use the statistical analysis (rather than just data mining). Also, memory usage is a problematic issue sometimes.
Not enough domain usage experience can be shared between KNIME users as well.

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Rohit Narang

Assistant Vice President

HSBC Commercial BankingFinancial Services, 10,001+ employees

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Likelihood to Renew

No score

No answers yet

No answers on this topic

KNIME Analytics Platform 8.0

Based on 1 answer

I am happy with the product. It provides the required functionality.

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Verified User

Analyst in Information Technology

Retail Company, 1001-5000 employees

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Usability

No score

No answers yet

No answers on this topic

KNIME Analytics Platform 8.0

Based on 1 answer

It performs all the required functions.

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Verified User

Analyst in Information Technology

Retail Company, 1001-5000 employees

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Support Rating

No score

No answers yet

No answers on this topic

KNIME Analytics Platform 6.8

Based on 4 answers

Since it is relatively new, there has not developed a vast previously asked/frequently asked questions library that comes up when you google an issue you come across with. This will happen only in time, and as the community grows. Because of the same reason, the community is not big. Consequently, it is possible not to receive good, fast responses to asked questions in community hubs and forums.

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Verified User

Professional in Research & Development

Consumer Electronics Company, 5001-10,000 employees

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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.

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Verified User

Professional in Legal

Legal Services Company, 51-200 employees

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KNIME is a lower price point and has strong cross platform capabilities. Other platforms are locked to a specific operating system and cost in some cases substantially more, making them less good choices for smaller businesses that still need basic data unification. The fact that KNIME is OS-independent is a big positive.

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Christopher Penn

Co-Host

Marketing Over CoffeeResearch, 1-10 employees

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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.

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Gavin Hackeling

Data Scientist

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

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Lowest TCO compared to other tools
Accelerates analysis - the analysts can dedicate more time to analysis itself, not to data preparation

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Viktor Mulac

Senior Consultant

A.T. KearneyManagement Consulting, 1001-5000 employees

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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

KNIME Analytics Platform

Amazon SageMaker

KNIME Analytics Platform

Amazon SageMaker

KNIME Analytics Platform

Amazon SageMaker

KNIME Analytics Platform

Amazon SageMaker

KNIME Analytics Platform

Likelihood to Recommend