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Amazon SageMaker vs KNIME Business Hub comparison

Amazon Web Services (AWS) and Knime are both solutions in the Data Science Platforms category. Amazon Web Services (AWS) is ranked #3 with an average rating of 8.0, while Knime is ranked #2 with an average rating of 8.0. Amazon Web Services (AWS) holds a 6.2% mindshare in Data Science Platforms, compared to Knime’s 11.9% mindshare. Additionally, 91% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 94% of Knime users who would recommend it.
Amazon SageMaker
Read 37 Amazon SageMaker reviews
  • 7,896 Views
  • 4,738 Comparison Views
91% willing to recommend
KNIME Business Hub
Read 60 KNIME Business Hub reviews
  • 10,613 Views
  • 7,429 Comparison Views
94% willing to recommend
 

Comparison Buyer's Guide

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Executive SummaryUpdated on Jul 27, 2025

KNIME Business Hub and Amazon SageMaker are leading platforms in data analysis and machine learning. KNIME holds an advantage due to its cost-effectiveness and ease of use, whereas SageMaker stands strong with its robust AWS integration and advanced capabilities.

Features: KNIME offers extensive data preparation and ETL capabilities, integrates well with R and Python, and its open-source nature encourages community support. Amazon SageMaker is designed for advanced model deployment, with features like AutoML, seamless AWS integration, and model monitoring.

Room for Improvement: KNIME users seek enhanced data visualization capabilities, better handling of large datasets, and improved platform integration. Amazon SageMaker's complexity is challenging, with users requesting simplified integrations, increased tutorial resources, and better cost management.

Ease of Deployment and Customer Service: KNIME supports both on-premises and cloud setups, leaning towards community-driven support. Amazon SageMaker, cloud-native, integrates efficiently within AWS but may intimidate new users with its complexity. Support is efficient, though the interface could be more intuitive.

Pricing and ROI: KNIME is cost-effective with a free standalone version, appealing to budget-conscious organizations. Amazon SageMaker is perceived as expensive due to AWS-dependent costs, yet provides value for AWS-integrated enterprises.

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To learn more, read our detailed Amazon SageMaker vs. KNIME Business Hub Report (Updated: July 2025).
Buyer's Guide
Amazon SageMaker vs. KNIME Business Hub
July 2025
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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

ROI

Sentiment score
7.3
Amazon SageMaker delivers high ROI by reducing costs and time, often providing returns multiple times the initial investment.
Sentiment score
7.9
KNIME Business Hub offers high ROI with low costs, ease of use, straightforward licensing, and significant productivity gains for projects.
The return on investment varies by use case and offers significant value in revenue increases and cost saving capabilities, especially in real time fraud detection and targeted advertisements.
For more quotes and insights, download the Amazon SageMaker report
No quotes available
For more quotes and insights, download the KNIME Business Hub report
 

Customer Service

Sentiment score
7.2
Amazon SageMaker support is generally praised, but service quality varies; premium customers receive better, more responsive assistance.
Sentiment score
6.8
KNIME Business Hub provides reliable support through a strong community, but time zone differences may impact official service speed.
The technical support from AWS is excellent.
The response time is generally swift, usually within seven to eight hours.
The support is very good with well-trained engineers.
For more quotes and insights, download the Amazon SageMaker report
While they cannot always provide immediate answers, they are generally efficient and simplify tasks, especially in the initial phase of learning KNIME.
For more quotes and insights, download the KNIME Business Hub report
Hemant Paralkar - PeerSpot reviewerSaurabh Jaiswal - PeerSpot reviewerreviewer1363764 - PeerSpot reviewer
DG
 

Scalability Issues

Sentiment score
7.6
Amazon SageMaker offers scalability and adaptability across enterprises, but GPU limitations and user skills impact its overall efficiency.
Sentiment score
6.9
KNIME Business Hub is scalable and manageable, suitable for enterprise use, with potential enhanced by cloud deployment and integrations.
It works very well with large data sets from one terabyte to fifty terabytes.
The availability of GPU instances can be a challenge, requiring proper planning.
Amazon SageMaker is scalable and works well from an infrastructure perspective.
For more quotes and insights, download the Amazon SageMaker report
No quotes available
For more quotes and insights, download the KNIME Business Hub report
Saurabh Jaiswal - PeerSpot reviewerreviewer1363764 - PeerSpot reviewerHemant Paralkar - PeerSpot reviewer
 

Stability Issues

Sentiment score
7.8
Amazon SageMaker is stable with high reliability, especially when properly configured, and minor glitches do not significantly impact performance.
Sentiment score
7.6
KNIME Business Hub is generally stable; issues arise with large datasets, but community support enhances reliability.
There are issues, but they are easily detectable and fixable, with smooth error handling.
I rate the stability of Amazon SageMaker between seven and eight.
For more quotes and insights, download the Amazon SageMaker report
No quotes available
For more quotes and insights, download the KNIME Business Hub report
 

Room For Improvement

Users seek better pricing, interface, integration, documentation, AI, dataset support, security, serverless options, and AWS collaboration.
KNIME Business Hub needs better integration, visualization, intuitive design, and connectivity with AI tools, plus improved documentation and training.
Both SageMaker and Lambda are powerful tools, and combining their capabilities could be beneficial.
This would empower citizen data scientists to utilize the tool more effectively since many data scientists do not have a core development background.
Integration of the latest machine learning models like the new Amazon LLM models could enhance its capabilities.
For more quotes and insights, download the Amazon SageMaker report
For graphics, the interface is a little confusing.
The machine learning and profileration aspects are fascinating and align with my academic background in statistics.
For more quotes and insights, download the KNIME Business Hub report
Saurabh Jaiswal - PeerSpot reviewerHemant Paralkar - PeerSpot reviewerreviewer1363764 - PeerSpot reviewer
AT
DG
 

Setup Cost

Amazon SageMaker offers flexible, competitive pricing but can be costly, with value varying by user, plus available discounts.
KNIME Business Hub is free for small teams, but scaling to on-premises or server versions incurs additional costs.
The cost for small to medium instances is not very high.
The pricing can be up to eight or nine out of ten, making it more expensive than some cloud alternatives yet more economical than on-premises setups.
For a single user, prices might be high yet could be cheaper for user-managed services compared to AWS-managed services.
For more quotes and insights, download the Amazon SageMaker report
No quotes available
For more quotes and insights, download the KNIME Business Hub report
Syed Muhammad Noman Akhtar - PeerSpot reviewerreviewer1363764 - PeerSpot reviewerHemant Paralkar - PeerSpot reviewer
 

Valuable Features

Amazon SageMaker offers comprehensive tools for end-to-end machine learning, including model deployment, scalability, and user-friendly features.
KNIME Business Hub offers a user-friendly, no-code data analytics platform with extensive features, scalability, and strong community support.
SageMaker supports building, training, and deploying AI models from scratch, which is crucial for my ML project.
SageMaker is fully managed, offers high availability, flexibility with TensorFlow, PyTorch, and MXNet, and comes with pre-trained algorithms for forecasting, anomaly detection, and more.
These features facilitate rapid development and deployment of AI applications.
For more quotes and insights, download the Amazon SageMaker report
KNIME is simple and allows for fast project development due to its reusability.
KNIME is more intuitive and easier to use, which is the principal advantage.
For more quotes and insights, download the KNIME Business Hub report
Syed Muhammad Noman Akhtar - PeerSpot reviewerSaurabh Jaiswal - PeerSpot reviewerreviewer1363764 - PeerSpot reviewer
DG
AT
 

Categories and Ranking

Amazon SageMaker
Ranking in Data Science Platforms
3rd
Average Rating
7.8
Reviews Sentiment
7.1
Number of Reviews
37
Ranking in other categories
AI Development Platforms (5th)
KNIME Business Hub
Ranking in Data Science Platforms
2nd
Average Rating
8.2
Reviews Sentiment
7.1
Number of Reviews
60
Ranking in other categories
Data Mining (1st)
 

Mindshare comparison

As of July 2025, in the Data Science Platforms category, the mindshare of Amazon SageMaker is 6.2%, down from 9.3% compared to the previous year. The mindshare of KNIME Business Hub is 11.9%, up from 10.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Science Platforms
 

Featured Reviews

Saurabh Jaiswal - PeerSpot reviewer
Create innovative assistants with seamless data integration for large-scale projects
The various integration options available in Amazon SageMaker ( /products/amazon-sagemaker-reviews ), such as Firehose for connecting to data pipelines, are simple to use. Tools like AWS Glue ( /products/aws-glue-reviews ) integrate well for data transformations. The Databricks ( /products/databricks-reviews ) integration aids data scientists and engineers. SageMaker is fully managed, offers high availability, flexibility with TensorFlow ( /products/tensorflow-reviews ), PyTorch ( /products/pytorch-reviews ), and MXNet ( /products/mxnet-reviews ), and comes with pre-trained algorithms for forecasting, anomaly detection, and more.
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Laurence Moseley - PeerSpot reviewer
Has a drag-and-drop interface and AI capabilities
It's difficult to pinpoint one single feature because KNIME has so many. For starters, it's very easy to learn. You can get started with just a one-hour video. The drag-and-drop interface makes it user-friendly. For example, if you want to read an Excel file, drag the "read Excel file" node from the repository, configure it by specifying the file location, and run it. This gives you a table with all your data. Next, you can clean the data by handling missing values, selecting specific columns you want to analyze, and then proceeding with your analysis, such as regression or correlation. KNIME has over 4,500 nodes available for download. In addition, KNIME offers various extensions. For instance, the text processing extension allows you to process text data efficiently. It's more powerful than other tools like NVivo and Palantir. KNIME also has AI capabilities. If you're unsure about the next step, the AI assistant can suggest the most frequently used nodes based on your previous work. Another valuable feature is the integration with Python. If you need to perform a task that requires Python, you can simply add a Python node, write the necessary code,
Read full review
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Top Industries

By visitors reading reviews
Financial Services Firm
19%
Computer Software Company
12%
Manufacturing Company
9%
University
6%
Financial Services Firm
12%
Manufacturing Company
10%
University
8%
Computer Software Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

How would you compare Databricks vs Amazon SageMaker?
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...
See all answers
What do you like most about Amazon SageMaker?
We've had experience with unique ML projects using SageMaker. For example, we're developing a platform similar to ChatGPT that requires models. We utilize Amazon SageMaker to create endpoints for t...
See all answers
What is your experience regarding pricing and costs for Amazon SageMaker?
The pricing is high, around an eight. However, SageMaker offers free trials for the first two months, allowing users to determine which features they need. It is considered value for money given it...
See all answers
What do you like most about KNIME?
Since KNIME is a no-code platform, it is easy to work with.
See all answers
What is your experience regarding pricing and costs for KNIME?
I rate the product’s pricing a seven out of ten, where one is cheap and ten is expensive.
See all answers
What needs improvement with KNIME?
I have seen the potential to interact with Python, which is currently a bit limited. I am interested in the newer version, 5.4, when it becomes available. The machine learning and profileration asp...
See all answers
 

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Product Reports

Buyer's Guide
Amazon SageMaker
July 2025
Amazon SageMaker reportDownload Amazon SageMaker product report
Buyer's Guide
KNIME Business Hub
July 2025
KNIME Business Hub reportDownload KNIME Business Hub product report
 

Also Known As

AWS SageMaker, SageMaker
KNIME Analytics Platform
 

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.

Amazon Web Services (AWS)

KNIME Business Hub offers a no-code interface for data preparation and integration, making analytics and machine learning accessible. Its extensive node library allows seamless workflow execution across various data tasks.

KNIME Business Hub stands out for its user-friendly, no-code platform, promoting efficient data preparation and integration, even with Python and R. Its node library covers extensive data processes from ETL to machine learning. Community support aids users, enhancing productivity with minimal coding. However, its visualization, documentation, and interface require refinement. Larger data tasks face performance hurdles, demanding enhanced cloud connectivity and library expansions for deep learning efficiencies.

What are the most important features of KNIME Business Hub?
  • No-Code Interface: Simplifies data preparation without coding expertise.
  • Node Library: Supports diverse data tasks, including ETL and machine learning.
  • Python and R Integration: Seamlessly connects with popular programming languages.
  • Automation Capabilities: Enhances workflow productivity.
  • Visual Workflow Tools: Offers efficient data handling with visual aids.
What benefits and ROI can users expect from KNIME Business Hub?
  • Increased Productivity: Streamlined data tasks reduce development time.
  • Community Support: Access to extensive resources and user assistance.
  • Cost-Effective: Robust performance even on standard hardware.
  • Accessible Learning Curve: Simplicity allows easy access for educational and professional use.
  • Enhanced Prototyping: Ideal for decision model testing.

KNIME Business Hub finds application in data transformation, cleansing, and multi-source integration for analytics and reporting. Companies utilize it for predictive modeling, clustering, classification, machine learning, and automating workflows. Its coding-free approach suits educational and professional settings, assisting industries in data wrangling, ETLs, and prototyping decision models.

Knime
 

Sample Customers

DigitalGlobe, Thomson Reuters Center for AI and Cognitive Computing, Hotels.com, GE Healthcare, Tinder, Intuit
Infocom Corporation, Dymatrix Consulting Group, Soluzione Informatiche, MMI Agency, Estanislao Training and Solutions, Vialis AG
Buyer's Guide
Amazon SageMaker vs. KNIME Business Hub
July 2025
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