Altair RapidMiner vs Alteryx vs Qlik Talend Cloud comparison

Read 85 Alteryx reviews

8,338 Views
1,417 Comparison Views

89% willing to recommend

Qlik Talend Cloud

Read 56 Qlik Talend Cloud reviews

12,180 Views
2,314 Comparison Views

89% willing to recommend

Altair RapidMiner

Qlik Talend Cloud

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Altair RapidMiner, Alteryx, and Qlik Talend Cloud based on real PeerSpot user reviews.

Find out what your peers are saying about Alteryx, SAP, Anaplan and others in Predictive Analytics.

To learn more, read our detailed Predictive Analytics Report (Updated: May 2026).

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Helped 896,099 peers since 2012

Review summaries and opinions

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

Mindshare comparison

Predictive Analytics Mindshare Distribution
Product	Mindshare (%)
Altair RapidMiner	6.1%
Alteryx	7.9%
SAP Business Data Cloud	6.1%
Other	79.9%

Predictive Analytics

Predictive Analytics Mindshare Distribution
Product	Mindshare (%)
Alteryx	7.9%
SAP Business Data Cloud	6.1%
Altair RapidMiner	6.1%
Other	79.9%

Predictive Analytics

Data Quality Mindshare Distribution
Product	Mindshare (%)
Qlik Talend Cloud	6.9%
Informatica Intelligent Data Management Cloud (IDMC)	9.6%
Ataccama ONE Platform	4.7%
Other	78.8%

Data Quality

Featured Reviews

VictorSantos

Professor at Instituto Superior de Contabilidade e Administraçao de Coimbra

Utilize intuitive CRISP model support and predictive analytics features for effective data analysis

Altair RapidMiner is appreciated for its ease of use and the CRISP data mining model it supports, covering steps like data preparation, data understanding, and business understanding. The tool’s auto model feature is excellent as it allows simulation of models to select the best one. It is useful for predictive analytics with community support for model adjustments. I also find handling complex datasets promising, although there's a need for improvement with generative AI adaptation.

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reviewer2797908

Senior Rpa Consultant at a computer software company with 51-200 employees

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.

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Herivao Jus Winny

IT Consultant at a tech services company with 201-500 employees

Has automated recurring data flows and improved accuracy in reporting

The best features of Talend Data Integration are its rich set of components that let you connect to almost any data design intuitive and its strong automation and scheduling capabilities. The TMap component is especially valuable because it allows flexible transformation, joins, and filtering in a single place. I also rely a lot on context variables to manage different environments like Dev, Test, and production, without changing the code. The error handling and logging tools are very helpful for monitoring and troubleshooting, which makes the workflow more reliable. Talend Data Integration has helped our company by automating and standardizing data processes. Before, many of these tasks were done manually, which took more time and often led to errors. With Talend Data Integration, we built automated pipelines that extract, clean, and load data consistently. This not only saves hours of manual effort, but also improves the accuracy and reliability of data. As a result, business teams had faster access to trustworthy information for reporting and decision making, which directly improved efficiency and productivity. Talend Data Integration has had a measurable impact on our organization. By automating daily data loading processes, we reduced manual effort by around three or four hours per day, which saved roughly 60 to 80 hours per month. We also improved data accuracy. Error rates dropped by more than 70% because validation rules were built into the jobs. In addition, reporting teams now receive fresh data at least 50% faster, which means they can make decisions earlier and with more confidence. Overall, Talend Data Integration has increased both efficiency and reliability in our data workflows.

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Quotes from Members

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

Pros

"The technical support for RapidMiner is fantastic."

"RapidMiner has a freemium pricing model so, as long as your dataset has fewer than 10,000 rows, you have free software."

"Scalability is not really a concern with RapidMiner. It scales very well and can be used in global implementations."

"The data science, collaboration, and IDN are very, very strong."

"RapidMiner is very easy to use."

"The documentation for this solution is very good, where each operator is explained with how to use it."

"The solution is very intuitive and powerful."

"The most valuable feature of RapidMiner is that it can read a large number of file formats including CSV, Excel, and in particular, SPSS."

More Altair RapidMiner pros

"The solution does a good job with data transformation."

"The most valuable feature is user-friendliness, as Alteryx can be used by those without any coding experience or experienced data scientists as it has the functionality to embed R and Python scripts."

"Data processing is most valuable; it is one of the fastest data blockers out there in the market, which is a fascinating thing about Alteryx."

"The most valuable feature of Alteryx is its unlimited handling capabilities."

"We are taking the data from disparate systems and transforming and making the data available for further visualization."

"My primary focus is creating numerous data pulls, and Alteryx Server handles the automation well."

"Alteryx's connectivity is essential, and we like the ability to connect the solution to multiple sources because it's easier than other data modeling and extraction solutions and is built on a self-service concept, so it's easy for anyone to open the tool and directly import or export data from it."

"Alteryx is user-friendly and allows easy creation of workflows compared to Informatica PowerCenter."

More Alteryx pros

"Qlik Talend Cloud has had a positive impact on my organization by automating data integration processes, reducing manual errors, and ensuring reliable and up-to-date data for reports and business decisions."

"Talend Studio has the ability to connect to almost anything to integrate data from files, databases, web services, etc."

"Talend Data Integration has positively impacted my organization because it is used for master management data, which I think most other components lack, but Talend Data Integration has that capability for using master management data as standard data."

"I put Talend on the same playing field as the other platforms and they're very competitive in terms of performance, which is a good selling point."

"tLogRows are also great for finding bad data."

"Qlik Talend Cloud positively impacted my organization by enabling businesses to accelerate data decisions very easily and reducing execution time."

"It is saving a lot of time. Today, we can mask around a hundred million records in 10 minutes. Masking is one of the key pieces that is used heavily by the business and IT folks. Normally in the software development life cycle, before you project anything into the production environment, you have to test it in the test environment to make sure that when the data goes into production, it works, but these are all production files. For example, we acquired a new company or a new state for which we're going to do the entire back office, which is related to claims processing, payments, and member enrollment every year. If you get the production data and process it again, it becomes a compliance issue. Therefore, for any migrations that are happening, we have developed a new capability called pattern masking. This feature looks at those files, masks that information, and processes it through the system. With this, there is no PHI and PII element, and there is data integrity across different systems. It has seamless integration with different databases. It has components using which you can easily integrate with different databases on the cloud or on-premise. It is a drag and drop kind of tool. Instead of writing a lot of Java code or SQL queries, you can just drag and drop things. It is all very pictorial. It easily tells you where the job is failing. So, you can just go quickly and figure out why it is happening and then fix it."

"The jobs are visual and this has improved collaboration between colleagues. It’s much easier to understand a visual job than a piece of Java code."

More Qlik Talend Cloud pros

Cons

"In the Mexican or Latin American market, it's kind of pricey."

"Improve the online data services."

"Currently, I am unsure of all the AI features available in Altair RapidMiner, particularly advanced AI capabilities like neural networks and deep learning."

"I would like to see more integration capabilities."

"The visual interface could use something like the-drag-and-drop features which other products already support. Some additional features can make RapidMiner a better tool and maybe more competitive."

"About twenty-five percent of my problems involve image processing, and I found RapidMiner lacking in this domain. While we work on OCR and similar tasks, RapidMiner hasn't been as engaged in that field as other models. Some other models also support email processing, but RapidMiner doesn't offer this feature."

"Many things in the interface look nice, but they aren't of much use to the operator. It already has lots of variables in there."

"I think that they should make deep learning models easier."

More Altair RapidMiner cons

"I mostly used it for flat files, but I have many colleagues who reported that to tune a query, in case they want to directly connect to the database, there is no option to optimize the performance of the query, as we have in Informatica."

"The data integration component could most likely be improved to increase enterprise scalability."

"All of the reports are migrated or exported in an Excel file, and most of the time, a business intelligence tool is required. They could have better reporting. The aesthetic could be improved."

"It would be great to create the final users' visualization within Alteryx."

"The license is really expensive, we cannot afford to have two or three."

"There are a few hiccups with specific data sets and languages or formats that the data comes in. That may be a minor problem, but we can work through it. We had some issues looking at XML format in added data, but it wasn't significant."

"The principal problem is the pricing. They're expensive products."

"It is expensive to buy additional licensing, and it is time and resource consuming to install onto our own hardware — which itself requires maintenance and administrative attention."

More Alteryx cons

"Needs integrated data governance in terms of dictionaries, glossaries, data lineage, and impact analysis. It also needs operationalization of meta data."

"Qlik Talend Cloud could be improved with more advanced monitoring and flexible alerts, as well as better job performance visibility."

"The setup cost is very expensive."

"The documentation from version to version could be more accurate. I have found information that is inaccurate or doesn't apply to the version I am trying to install or work in."

"Including either XML or JSON in the next release would definitely be a good transformation. I'm not sure if Talend has that feature, but it's one of those requirements that we are working around and have to do some parsing of XML so this could make it easier."

"When we upgraded to Version 6.4.1, we tried using a GIT repository instead of a SVN repository. After a few incidents where things disappeared and changes were not saved, we decided to go back to a SVN repository."

"The product must enhance the data quality."

"The biggest challenge with Talend was its performance."

More Qlik Talend Cloud cons

Pricing and Cost Advice

"For the university, the cost of the solution is free for the students and teachers."

"I'm not fully aware of RapidMiner's price because we had licenses provided, but from my analysis, it's moderately priced, not too high or too low. It's worth the investment."

"The client only has to pay the licensing costs. There are not any maintenance or hidden costs in addition to the license."

"Although we don't pay licensing fees because it is being used within the university, my understanding is that the cost is between $5,000 and $10,000 USD per year."

"I used an educational license for this solution, which is available free of charge."

"In my opinion, it's actually quite expensive."

"The price for Alteryx Designer is reasonable but the price for Alteryx Server for universal collaborations is too expensive."

"The license price of the solution is expensive."

"My organization pays for it, and I do not look into the financial aspect of the licensing, but I know it is pretty expensive."

"The license is really expensive, we cannot afford to have two or three. It takes away all the budget of my area."

"The solution has a more costly license than other tools in the market."

"Very transparent."

"The designer has a list price of $5,995 USD."

More Alteryx pricing and cost advice

"The pricing is a little higher than what I had expected, but it's comparable with I-PASS competitors."

"It's a subscription-based platform, we renew it every year."

"I have been using the open-source version."

"I would advise to first take a look and at the Open Studio edition. Figure out what you need and purchase the appropriate license."

"License renewal is on a yearly basis."

"The licensing cost is about 40,000 Euros a year."

"We did not purchase a separate license for DQ. It is part of our data platform suite, and I believe it is well-priced."

"The tool is cheap."

More Qlik Talend Cloud pricing and cost advice

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Top Industries

By visitors reading reviews

Manufacturing Company

12%

Financial Services Firm

10%

University

Educational Organization

Financial Services Firm

20%

Manufacturing Company

Computer Software Company

Retailer

Financial Services Firm

16%

Comms Service Provider

Computer Software Company

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	12
Midsize Enterprise	5
Large Enterprise	8

By reviewers
Company Size	Count
Small Business	32
Midsize Enterprise	16
Large Enterprise	55

By reviewers
Company Size	Count
Small Business	21
Midsize Enterprise	12
Large Enterprise	20

Questions from the Community

What do you like most about RapidMiner?

RapidMiner is a no-code machine learning tool. I can install it on my local machine and work with smaller datasets. I...

What is your experience regarding pricing and costs for RapidMiner?

I started with a trial version. We are likely to purchase a license, which may offer additional features.

What needs improvement with RapidMiner?

Currently, I am unsure of all the AI features available in Altair RapidMiner, particularly advanced AI capabilities l...

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...

What needs improvement with Talend Data Quality?

I don't use the automated rule management feature in Talend Data Quality that much, so I cannot provide much feedback...

What is your primary use case for Talend Data Quality?

It is for consistency, mainly; data consistency and data quality are our main use cases for the product. Data consist...

What advice do you have for others considering Talend Data Quality?

Currently, I'm working with batch jobs and don't perform real-time data quality monitoring because of the large data ...

KNIME Business Hub vs Altair RapidMiner

Comparisons

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Dataiku vs Altair RapidMiner

Compared 7% of the time

Databricks vs Altair RapidMiner

Compared 7% of the time

IBM SPSS Statistics vs Altair RapidMiner

Compared 4% of the time

Microsoft Azure Machine Learning Studio vs Altair RapidMiner

Compared 3% of the time

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Databricks vs Alteryx

Compared 13% of the time

Dataiku vs Alteryx

Compared 9% of the time

KNIME Business Hub vs Alteryx

Compared 8% of the time

Anaplan vs Alteryx

Compared 3% of the time

Red Hat Lightspeed vs Alteryx

Compared 2% of the time

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Informatica Intelligent Data Management Cloud (IDMC) vs Qlik Talend Cloud

Compared 4% of the time

Melissa Data Quality vs Qlik Talend Cloud

Compared 3% of the time

n8n vs Qlik Talend Cloud

Compared 3% of the time

Databricks vs Qlik Talend Cloud

Compared 3% of the time

SSIS vs Qlik Talend Cloud

Compared 2% of the time

More Qlik Talend Cloud Competitors

Product Reports

Altair RapidMiner

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Download Alteryx product report

Qlik Talend Cloud

Download Qlik Talend Cloud product report

Also Known As

No data available

Talend Data Quality, Talend Data Management Platform, Talend MDM Platform, Talend Data Streams, Talend Data Integration, Talend Data Integrity and Data Governance

Overview

Altair RapidMiner is a GUI-driven, code-free data science tool ideal for users seeking efficiency and user-friendliness, featuring automated data cleaning and versatile model support for diverse tasks.

Altair RapidMiner offers an accessible platform with drag-and-drop functionality, supporting multiple file formats to streamline data science workflows. It enables quick prototyping and integrates with APIs, Python, and R, enhancing user flexibility. Comprehensive documentation and tutorials support learning, while features like model fine-tuning and predictive analytics cater to advanced analysis. Enhancements in automation and deep learning, alongside improvements in data service integration and metadata handling, remain a focus for development.

What are the key features of Altair RapidMiner?

Code-Free Interface: Simplifies data science with GUI support.
Drag-and-Drop Functionality: Streamlines process setup.
Automated Data Cleaning: Saves time in data preparation.
Machine Learning Algorithms: Supports a wide range for various tasks.
API & Python/R Integration: Enhances flexibility for data projects.
Tutorials & Documentation: Provides robust learning resources.

What benefits and ROI can users expect?

Efficiency: Reduces time spent on data processing.
Flexibility: Offers adaptable integration options.
Scalability: Suited for both educational and business environments.
Usability: User-friendly interface encourages wider adoption.
Predictive Capabilities: Empowers advanced business analytics.

Industries such as telecom and finance utilize Altair RapidMiner for tasks like data preparation and forecasting. Universities employ it for education and research projects, while businesses apply it to areas such as financial crime management and market analysis. It assists companies in predicting customer behavior and analyzing pharmaceutical data, allowing seamless integration with other systems.

Altair

Alteryx provides user-friendly, no-code tools for data blending, preparation, and analysis. Its drag-and-drop interface and in-database capabilities simplify integration with data sources while maintaining data integrity.

Alteryx offers a comprehensive suite for automation of data workflows, reducing manual tasks and enhancing processing efficiency. Known for robust predictive and spatial analytics, it effectively handles large datasets. The platform's flexibility allows for custom script deployments, supported by a strong community. However, Alteryx faces challenges with high pricing, lack of cloud support, and limited data visualization tools. Users express a need for more in-built data science functionalities, improved API integration, and a smoother learning curve. Connectivity and documentation gaps, along with complex workflows, are noted concerns, suggesting areas for enhancement. Alteryx is widely used for tasks like ETL processes, data preparation, predictive modeling, and report generation, supporting functions like financial projections and spatial analysis.

What features define Alteryx?

Data Blending: Combines data from multiple sources.
No-Code Tools: User-friendly drag-and-drop interface for ease of use.
Automation: Streamlines workflows and reduces manual tasks.
Predictive Analytics: Offers advanced forecasting capabilities.
Spatial Analytics: Processes geospatial data effectively.

What benefits should users consider?

Reduced Manual Labor: Automation minimizes repetitive tasks.
Data Integration: Seamlessly connects to various data sources.
Customization: Flexibility to deploy custom scripts.
Scalability: Quickly processes large datasets.
Community Support: Strong network for troubleshooting and guidance.

Alteryx is implemented across industries for diverse needs such as anomaly detection in finance, customer segmentation in marketing, and tax automation in auditing. Teams leverage its capabilities for data blending and predictive modeling to enhance operational efficiency and address specific business needs effectively.