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Alteryx vs Amazon SageMaker vs Dataiku comparison

 

Comparison Buyer's Guide

Executive Summary

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
6.7
Organizations achieve swift ROI with Alteryx by automating tasks, boosting productivity, and reducing costs despite high licensing fees.
Sentiment score
6.8
Amazon SageMaker offers varied ROI, improving efficiency and reducing costs with real-time fraud detection, despite long-term expense concerns.
Sentiment score
4.9
Dataiku streamlines cross-functional projects for data scientists, enhancing compliance and suggesting a shift to consumption-based pricing.
Tasks that earlier took hours in Excel or SQL are now completed in minutes.
Senior Rpa Consultant at Accely Consulting
Alteryx helps familiarize managers with artificial intelligence-driven possibilities.
Chief Information Officer at granistr
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.
Senior Solutions Architect at a tech vendor with 10,001+ employees
Amazon SageMaker definitely provides ROI.
Machine Learning Engineer at Macquarie Group
The market is competitive, and Dataiku must adopt a consumption-based model instead of the current monthly model.
Cognitive Business Operation at a consultancy with 10,001+ employees
I consider the return on investment with Dataiku valuable because for us, it is one single platform where all our data scientists come together and work on any model building, so it is collaboration, plus having everything in one place, organized, having proper project management, and then built-in capabilities which help to facilitate model building.
Cdao/Global Head Of Data And Analytics at Givaudan Roure
It is a good return on investment since it helps save a lot of time, and it's easy for my teammates to work cross-functionally on the same project.
Data Scientist at a tech vendor with 51-200 employees
 

Customer Service

Sentiment score
7.2
Alteryx users value community support for quick issue resolution but criticize direct assistance for slow, costly response times.
Sentiment score
6.8
Amazon SageMaker support is praised for expertise, though some note slow responses and challenges for new users. Responses vary.
Sentiment score
5.3
Dataiku customer service offers quick responses and varying support experiences, with local partnerships aiding in industry-specific assistance.
I contacted customer support once or twice, and they were quick to respond.
Experience Technocrat driving IT initiatives at WISDOMBOWL
The customer service was not good because we weren't premium support users.
Senior Capacity Planner at a financial services firm with 10,001+ employees
Customer support is good since I've had no issues and can easily contact representatives who respond promptly.
Chief Information Officer at granistr
The technical support from AWS is excellent.
Lead Consultant at Saama
The support is very good with well-trained engineers.
Senior Solutions Architect at a tech vendor with 10,001+ employees
The response time is generally swift, usually within seven to eight hours.
Python AWS & AI Expert at a tech consulting company
Dataiku partners with local industry experts who understand the business better and provide support.
Data Science Lead at a mining and metals company with 10,001+ employees
The support team does not provide adequate assistance.
Cognitive Business Operation at a consultancy with 10,001+ employees
They should not take the complaints so lightly.
Cdao/Global Head Of Data And Analytics at Givaudan Roure
 

Scalability Issues

Sentiment score
7.3
Alteryx is scalable, easy to deploy, widely used despite high licensing costs, and effective with proper infrastructure.
Sentiment score
7.4
Amazon SageMaker is highly scalable and flexible, but may need skilled personnel and resource adjustments for optimal performance.
Sentiment score
5.8
Dataiku offers scalable solutions with cloud integration, supporting expansion and seamless team adaptation, despite minor performance concerns with large data.
Alteryx is scalable for most enterprise analytics and data preparation workloads.
Senior Rpa Consultant at Accely Consulting
Alteryx is scalable, and I would give it eight out of ten.
Experience Technocrat driving IT initiatives at WISDOMBOWL
The availability of GPU instances can be a challenge, requiring proper planning.
Senior Solutions Architect at a tech vendor with 10,001+ employees
It works very well with large data sets from one terabyte to fifty terabytes.
Python AWS & AI Expert at a tech consulting company
Amazon SageMaker is scalable and works well from an infrastructure perspective.
Lead Consultant at Saama
Dataiku is quite scalable, as long as I can pay for more licenses, there is no technical limitation.
Cdao/Global Head Of Data And Analytics at Givaudan Roure
Dataiku's scalability is pretty good; I can scale the projects very easily, and clear guidance is given as well.
Solution Architect at a pharma/biotech company with 10,001+ employees
 

Stability Issues

Sentiment score
7.9
Alteryx is praised for stability and performance, though occasional minor bugs and server inconsistencies are noted.
Sentiment score
7.6
Amazon SageMaker is praised for stability and reliability, though users face a learning curve and occasional UI changes.
Sentiment score
6.9
Dataiku is stable for most users, though some experience issues with complex tasks, updates, and data quality variations.
I didn't need to reach out to Alteryx for support because available documents usually provide enough information to resolve issues.
Software Engineer at a computer software company with 10,001+ employees
I have not encountered any lagging, crashing, or instability in the system during these three months of usage.
Legal Coordinator at a transportation company with 10,001+ employees
I have not noticed anything with the product itself, but with some of the connectors they have provided, there are some issues.
Development Lead at a energy/utilities company with 10,001+ employees
There are issues, but they are easily detectable and fixable, with smooth error handling.
Python AWS & AI Expert at a tech consulting company
The product has been stable and scalable.
Data Lake and MLOps Lead at a energy/utilities company with 10,001+ employees
I rate the stability of Amazon SageMaker between seven and eight.
Lead Consultant at Saama
It would help if there was a backup proposition in place to avoid hampering our work due to updates.
Senior Data Scientist at Deloitte
For around ten percent of the day, it is usually down, and we are unable to do work on it.
Data Scientist at a tech vendor with 51-200 employees
In terms of stabilization, if my data has no outlier creation in the raw data, then it is quite stable.
Data Scientist at Ericsson
 

Room For Improvement

Alteryx users seek improved visualization, cloud integration, pricing flexibility, and better performance, facing challenges with complexity and affordability.
Amazon SageMaker users desire improved pricing, interface, documentation, integration, and features for scalability, automation, security, and usability.
Dataiku faces challenges like high cost, complex interface, and limited support, requiring improvements in integration, visualization, and documentation.
The tool could include more native connectors, such as for global ERPs, instead of requiring additional fees for these connections.
Legal Coordinator at a transportation company with 10,001+ employees
The support structure changed; initially, we received great support, however, it later became less reliable due to licensing issues and a tiered support system.
Senior Capacity Planner at a financial services firm with 10,001+ employees
The additional features that Alteryx needs to work on to make it more competitive include better collaboration and easier integration through API.
Senior Consultant at a consultancy with 201-500 employees
Having all documentation easily accessible on the front page of SageMaker would be a great improvement.
AWS & Azure Engineer at a media company with 11-50 employees
This would empower citizen data scientists to utilize the tool more effectively since many data scientists do not have a core development background.
Lead Consultant at Saama
Integration of the latest machine learning models like the new Amazon LLM models could enhance its capabilities.
Senior Solutions Architect at a tech vendor with 10,001+ employees
Someone who needs to do coding can do it, and someone who does not know coding can also build solutions.
Head of Delivery & Practice (Data & AI) at a recruiting/HR firm with 201-500 employees
The license is very expensive.
Manager at CTTI - Centre de Telecomunicacions i Tecnologies de la Informació
I would love for Dataiku to allow more flexibility with code-based components and provide the possibility to extend it by developing and integrating custom components easily with existing ones.
Big Data Consultant at a computer software company with 1,001-5,000 employees
 

Setup Cost

Alteryx's high pricing suits medium to large enterprises, offering comprehensive features and potential ROI in large-scale implementations.
Amazon SageMaker is costly but flexible, offering pay-as-you-go pricing and discounts, with charges only for compute resources.
Dataiku's pricing is high and varies, with enterprise expense concerns, yet it's relatively affordable for large companies.
The price is very high, with licensing typically starting around five thousand dollars plus user per year.
Senior Rpa Consultant at Accely Consulting
Alteryx is more cost-effective compared to Informatica licenses, offering savings.
Software Engineer at a computer software company with 10,001+ employees
It has a fair price when considering a larger-scale implementation.
Legal Coordinator at a transportation company with 10,001+ employees
The cost for small to medium instances is not very high.
AWS & Azure Engineer at a media company with 11-50 employees
For a single user, prices might be high yet could be cheaper for user-managed services compared to AWS-managed services.
Lead Consultant at Saama
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.
Senior Solutions Architect at a tech vendor with 10,001+ employees
There are no extra expenses beyond the existing licensing cost.
Manager at CTTI - Centre de Telecomunicacions i Tecnologies de la Informació
I find the pricing of Dataiku quite affordable for our customers, as they are usually large companies.
Big Data Consultant at a computer software company with 1,001-5,000 employees
The pricing for Dataiku is very high, which is its biggest downside.
Cognitive Business Operation at a consultancy with 10,001+ employees
 

Valuable Features

Alteryx excels with its no-code ease, data blending, and analytics, enhancing decision-making for non-technical users.
Amazon SageMaker offers seamless AWS integration, intuitive tools, and scalability, supporting both beginner and expert machine learning projects.
Dataiku offers intuitive tools for data preparation and integration, supporting collaboration, scalability, and efficiency for diverse teams.
Alteryx not only represents data but also supports decision-making by suggesting the next steps.
Chief Information Officer at granistr
Analysts who do not have any coding experience can still work on the transformation and preparation of data, which is quite useful.
Senior Consultant at a consultancy with 201-500 employees
Alteryx includes built-in tools such as drive time analysis and linear regression, which are much harder to achieve in standard BI tools such as Power BI or Tableau.
Senior Rpa Consultant at Accely Consulting
SageMaker supports building, training, and deploying AI models from scratch, which is crucial for my ML project.
AWS & Azure Engineer at a media company with 11-50 employees
They offer insights into everyone making calls in my organization.
President & CEO at Y12
The most valuable features include the ML operations that allow for designing, deploying, testing, and evaluating models.
Senior Solutions Architect at a tech vendor with 10,001+ employees
This feature is useful because it simplifies tasks and eliminates the need for a data scientist.
Data Science Lead at a mining and metals company with 10,001+ employees
Dataiku primarily enhances the speed at which our customers can develop or train their machine learning models because it is a drag-and-drop platform.
Big Data Consultant at a computer software company with 1,001-5,000 employees
It offers most of the capabilities required for data science, MLOps, and LLMOps.
Cognitive Business Operation at a consultancy with 10,001+ employees
 

Mindshare comparison

As of April 2026, in the Data Science Platforms category, the mindshare of Alteryx is 3.7%, down from 6.5% compared to the previous year. The mindshare of Amazon SageMaker is 4.0%, down from 7.5% compared to the previous year. The mindshare of Dataiku is 6.7%, down from 12.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Science Platforms Mindshare Distribution
ProductMindshare (%)
Amazon SageMaker4.0%
Dataiku6.7%
Alteryx3.7%
Other85.6%
Data Science Platforms
 

Featured Reviews

Rajneesh Prajapati - PeerSpot reviewer
Senior Rpa Consultant at Accely Consulting
Time-saving workflows have transformed data preparation and predictive analysis for my team
Some of the best features Alteryx offers are its no and low-code capabilities. It delivers massive time-saving and includes spatial and predictive analysis. Alteryx includes built-in tools such as drive time analysis and linear regression, which are much harder to achieve in standard BI tools such as Power BI or Tableau. In addition to these features, Alteryx provides built-in spatial tools that can calculate drive time and location-based insights with minimal effort through drag-and-drop spatial tools, low complex coding, faster, and more accurate results. Linear regression predicts sales based on marketing spend, estimates costs based on usage, and identifies trends in historical data. Alteryx has positively impacted my organization by saving time, improving accuracy, and enabling better decision-making. Using Alteryx, complex tasks such as data cleansing, joining datasets, drive time analysis, and linear regression can be done much faster compared to manual Excel or SQL work. This reduces dependency on manual effort and lowers the risk of human error. Drive time analysis helps my organization make better location-based decisions, such as identifying optimal service areas or improving customer reach.
Saurabh Jaiswal - PeerSpot reviewer
Python AWS & AI Expert at a tech consulting company
Create innovative assistants with seamless data integration for large-scale projects
The various integration options available in Amazon SageMaker, such as Firehose for connecting to data pipelines, are simple to use. Tools like AWS Glue integrate well for data transformations. The Databricks integration aids data scientists and engineers. 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.
SK
Senior Data Scientist at Deloitte
Visual workflows have streamlined healthcare analytics and have reduced reporting time significantly
In terms of improvement, I cannot comment on the LLMs or the agentic view as I have not used them yet. However, I feel that better documentation is necessary. Dataiku should establish a stronger community since this is proprietary software, where users can share knowledge. Although they have some community interaction, it is often challenging to find assistance when stuck. For example, when I was new to Dataiku and trying to use an external optimization tool such as CPLEX, I struggled with resource directory linking to a project's notebook. Detailed documentation and community discussions could have significantly alleviated these issues for users such as myself.
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Top Industries

By visitors reading reviews
Financial Services Firm
20%
Manufacturing Company
9%
Computer Software Company
7%
Retailer
6%
Financial Services Firm
17%
Manufacturing Company
9%
Computer Software Company
9%
University
5%
Financial Services Firm
18%
Manufacturing Company
9%
Computer Software Company
9%
Energy/Utilities Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business32
Midsize Enterprise15
Large Enterprise54
By reviewers
Company SizeCount
Small Business12
Midsize Enterprise11
Large Enterprise18
By reviewers
Company SizeCount
Small Business6
Midsize Enterprise2
Large Enterprise13
 

Questions from the Community

What is the Biggest Difference Between Alteryx and IBM SPSS Modeler?
One of the differences is that with Alteryx you can use it as an ETL and analytics tool. Please connect with me direc...
What is the Biggest Difference Between Alteryx and IBM SPSS Modeler?
Alteryx is an extremely easy and flexible data tool, flexible in terms of drag and drop toolset and also has python, ...
What is the Biggest Difference Between Alteryx and IBM SPSS Modeler?
I am not familiar with IBM SPSS Modeler, therefore, I cannot compare these two products. Regarding Alteryx I can say...
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 designe...
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 Cha...
What is your experience regarding pricing and costs for Amazon SageMaker?
If you manage it effectively, their pricing is reasonable. It's similar to anything in the cloud; if you don't manage...
What is your experience regarding pricing and costs for Dataiku Data Science Studio?
I am not the person involved in the process regarding pricing, setup cost, and licensing.
What needs improvement with Dataiku Data Science Studio?
To improve Dataiku, it could enhance its visualization features, as it is not possible in Dataiku to create direct vi...
What is your primary use case for Dataiku Data Science Studio?
My main use case for Dataiku is for data science and AI projects. I use Dataiku for a demand forecasting use case whe...
 

Comparisons

 

Also Known As

No data available
AWS SageMaker, SageMaker
Dataiku DSS
 

Overview

 

Sample Customers

AnalyticsIq Inc., belk, BloominBrands Inc., Cardinalhealth, Cineplex, Dairy Queen
DigitalGlobe, Thomson Reuters Center for AI and Cognitive Computing, Hotels.com, GE Healthcare, Tinder, Intuit
BGL BNP Paribas, Dentsu Aegis, Link Mobility Group, AramisAuto
Find out what your peers are saying about Databricks, Amazon Web Services (AWS), Knime and others in Data Science Platforms. Updated: March 2026.
885,728 professionals have used our research since 2012.