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Alteryx One vs Palantir Foundry comparison

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Comparison Buyer's Guide

Executive SummaryUpdated on Oct 16, 2026

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
6.6
Alteryx delivers quick ROI with enhanced efficiency, justifying higher costs through automation, time savings, and improved data accuracy.
Sentiment score
5.1
Users report time and cost savings with Palantir Foundry, but quantifying ROI and financial specifics remains challenging.
Tasks that earlier took hours in Excel or SQL are now completed in minutes.
Senior Rpa Consultant at a computer software company with 51-200 employees
From a time-saving perspective, we saved 60 to 75 percent of the human workforce needed and eliminated other disparate ETL tools, ultimately saving us over 600,000 dollars.
Senior Staff Cyber Security Cloud Data Architect at GE Healthcare
Alteryx helps familiarize managers with artificial intelligence-driven possibilities.
Chief Information Officer at granistr
With traditional development requiring many specialized roles, Palantir Foundry allows us to operate efficiently with fewer personnel.
Data Engineering Specialist at LTM
We saved approximately 20 to 35 percent in man-hours needed and the timing improved our project timelines by approximately 50 to 55 percent.
Consultant at a tech vendor with 1,001-5,000 employees
One clear example was the pipeline optimization I mentioned, where we reduced execution time by thirty to forty percent.
PALANTIR DATA ENGINEER at a healthcare company with 10,001+ employees
 

Customer Service

Sentiment score
7.1
Alteryx's support is praised for responsiveness and community, though some note occasional delays and varied support quality.
Sentiment score
6.2
Palantir Foundry's customer service is competent and proactive, though experiences vary based on contract and user needs.
Customer support from Alteryx has been amazing.
Senior Staff Cyber Security Cloud Data Architect at GE Healthcare
they do have a website for resolving doubts and accessing helpful resources, including various tools and filters.
Senior Analyst at Guardian India Operation
I contacted customer support once or twice, and they were quick to respond.
Experience Technocrat driving IT initiatives at WISDOMBOWL
They are knowledgeable, and their boot camps demonstrate solutions in just three days, which typically takes months or years.
Enterprise Architect at a mining and metals company with 10,001+ employees
When I seek help regarding code in Slate, it can take considerable time for the team to find the right answer or documentation, especially since the responses depend on the level of support provided, and specific queries regarding coding usually require reaching out to more experienced developers.
Data Analyst at BP Exploration Caspian Sea Ltd
The support staff are extremely knowledgeable and good at what they are doing.
Operations And Integration Chief at a aerospace/defense firm with 10,001+ employees
 

Scalability Issues

Sentiment score
7.2
Alteryx is scalable for enterprise needs, handling large datasets efficiently, but cost and Designer limitations are concerns.
Sentiment score
6.1
Palantir Foundry is praised for scalability, flexibility, and adaptability across business sizes, despite cloud cost concerns.
Alteryx is scalable for most enterprise analytics and data preparation workloads.
Senior Rpa Consultant at a computer software company with 51-200 employees
Suggestions for improvements in Alteryx include areas for increasing efficiency, particularly in processing telemetry data, which involves dealing with large volumes of unstructured data.
Senior Staff Cyber Security Cloud Data Architect at GE Healthcare
Alteryx is scalable, and I would give it eight out of ten.
Experience Technocrat driving IT initiatives at WISDOMBOWL
We work with large volumes of healthcare data, and it has been able to handle all the large-scale ingestion, transformation, and distributed processing workflows effectively.
PALANTIR DATA ENGINEER at a healthcare company with 10,001+ employees
For scalability, I would rate it ten out of ten because you have a lot of flexibility.
Associate Vice President at a insurance company with 10,001+ employees
Regarding scalability, if you have billions and trillions of records, Palantir Foundry accommodates ETL pipelines with a dedicated compute profile.
Data Engineering Specialist at LTM
 

Stability Issues

Sentiment score
7.8
Alteryx is praised for its stability and reliability, especially with large datasets, outperforming competitors in speed and consistency.
Sentiment score
7.7
Palantir Foundry is stable and reliable, with minor issues quickly resolved, though some suggest marketing may overstate capabilities.
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
Alteryx is a reliable tool, but it is also very heavy, requiring good laptop configurations, a minimum of 8GB RAM, and a recent processor such as i10.
Senior Analyst at Guardian India Operation
Live data streaming is very hard and it keeps breaking, so it is not very stable and depends a lot on the satellite network.
Product Manager
I get more technical support from Palantir.
Data Development Manager at a healthcare company with 5,001-10,000 employees
Palantir Foundry has been a stable and reliable enterprise platform.
PALANTIR DATA ENGINEER at a healthcare company with 10,001+ employees
 

Room For Improvement

Alteryx needs better database connectivity, visualization, pricing, cloud deployment, documentation, and user interface for improved usability and performance.
Palantir Foundry needs enhanced training, cost-efficiency, ease of use, integration, automation, and AI for improved user experience.
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
The platform is extremely capable, but improvements around usability, debugging experience, DevOps flexibility, and ecosystem openness would make it even more effective for enterprise engineering teams.
PALANTIR DATA ENGINEER at a healthcare company with 10,001+ employees
I want to build conversational BI or conversational agents quickly that can connect to MCPs, and other MCPs that I can communicate with in Palantir Foundry, which are areas to advance forward.
Principal Architect at HCLTech
An improvement would be that in case of any changes done by the Palantir team, those changes need to be tested thoroughly so there are no downstream impacts, ensuring that the business is not affected by any modifications in the system.
Engineer, Data Engineering at GlobalFoundries
 

Setup Cost

Alteryx is praised for features but noted for high costs, leading some to seek affordable alternatives for smaller teams.
Palantir Foundry's high cost is justified for enterprises by reduced development needs and centralized capabilities despite complex licensing.
The price is very high, with licensing typically starting around five thousand dollars plus user per year.
Senior Rpa Consultant at a computer software company with 51-200 employees
We found excellent use cases for automation through Alteryx, which provided the means to reduce operational costs and streamline the build of ETL pipelines without extensive coding.
Senior Staff Cyber Security Cloud Data Architect at GE Healthcare
Alteryx is more cost-effective compared to Informatica licenses, offering savings.
Software Engineer at a computer software company with 10,001+ employees
Its high initial pricing can be intimidating, but it becomes cost-effective as it reduces the need for a development team.
Enterprise Architect at a mining and metals company with 10,001+ employees
In terms of getting a contractor to work on that, I would probably say it is more expensive because there are fewer people with that skillset compared to, say, Databricks or Azure.
Data Development Manager at a healthcare company with 5,001-10,000 employees
We can consult it in the right way regarding Palantir Foundry use, as it is still a gray area right now concerning costing.
Principal Architect at HCLTech
 

Valuable Features

Alteryx offers automation, user-friendly drag-and-drop features, enabling efficient data processing, predictive analytics, and geospatial analysis for diverse industries.
Palantir Foundry enhances data-driven decisions with strong AI, user-friendly tools, robust security, and seamless integration for all users.
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 a computer software company with 51-200 employees
The predictive analytics capability within Palantir Foundry impacts financial forecasting strategies through its AIP functionality, which includes numerous pre-built models, LLMs, and data science application libraries.
Architect at L&T Technology Services
The main advantage is you can decentralize the analytics, and you will have everything in one place, so that you do not need to rely on multiple departments working on different tools.
Associate Vice President at a insurance company with 10,001+ employees
The low-code solutions made our lives easier because not everybody is too technical to get started and the barrier to entry is very low.
Consultant at a tech vendor with 1,001-5,000 employees
 

Categories and Ranking

Alteryx One
Ranking in Data Integration
11th
Average Rating
8.2
Reviews Sentiment
6.9
Number of Reviews
119
Ranking in other categories
Predictive Analytics (2nd), Data Science Platforms (4th), Data Preparation Tools (1st)
Palantir Foundry
Ranking in Data Integration
2nd
Average Rating
8.0
Reviews Sentiment
6.4
Number of Reviews
62
Ranking in other categories
IT Operations Analytics (4th), Supply Chain Analytics (1st), Cloud Data Integration (4th), Data Migration Appliances (2nd), Data Management Platforms (DMP) (1st), Data and Analytics Service Providers (1st)
 

Mindshare comparison

As of October 2026, in the Data Integration category, the mindshare of Alteryx One is 1.2%, down from 2.0% compared to the previous year. The mindshare of Palantir Foundry is 2.2%, down from 3.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Mindshare Distribution
ProductMindshare (%)
Palantir Foundry2.2%
Alteryx1.2%
Other96.6%
Data Integration
 

Featured Reviews

ManojBehera - PeerSpot reviewer
Senior Staff Cyber Security Cloud Data Architect at GE Healthcare
Automated complex ETL workflows have reduced coding effort and improved data integration
One area for improvement is in integrating mostly the data which comes from telemetry, where I can see some sort of improvisations can be made. It is a massive amount of unstructured data, and I believe Alteryx is able to handle it, but there can be some improvements. Suggestions for improvements in Alteryx include areas for increasing efficiency, particularly in processing telemetry data, which involves dealing with large volumes of unstructured data. Additionally, I believe when we use filter tools immediately after the input source, there can be slowdowns when handling massive data. The user experience of Alteryx is generally good, but there are areas for improvement from a user's perspective, particularly regarding user interface enhancements. I think there's always room for improvement, but otherwise, Alteryx has been a great tool for me. We haven't experienced significant disruptions while increasing data volumes, though I sense there could be performance issues as data grows exponentially. This is an area that could use improvement in Alteryx.
reviewer2846265 - PeerSpot reviewer
PALANTIR DATA ENGINEER at a healthcare company with 10,001+ employees
Unified healthcare pipelines have improved data trust and accelerated operational decisions
One challenge regarding how Palantir Foundry can be improved is the learning curve. Foundry has a very broad ecosystem with Ontology, Pipeline Builder, Code Repositories, and AI integrations. For new engineers or business users onboarding, it can take time, especially if they are coming from more traditional data platforms. Better documentation, simplified onboarding paths, and more beginner-friendly examples would help accelerate adoption. Another area is debugging complexity. While lineage and monitoring are strong features, troubleshooting deeply interconnected pipelines can still become difficult in a large enterprise environment. Sometimes error logs and pipeline failure messages could be more descriptive or developer-friendly, especially for distributed PySpark jobs. Another pain point is customization limitations in certain UI-driven components. While low-code tools are great for rapid development, highly customized workflows sometimes still require engineering workarounds or deeper technical implementation. The platform is extremely capable, but improvements around usability, debugging experience, DevOps flexibility, and ecosystem openness would make it even more effective for enterprise engineering teams.
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Top Industries

By visitors reading reviews
Financial Services Firm
20%
Manufacturing Company
9%
Construction Company
8%
Outsourcing Company
7%
Manufacturing Company
14%
Financial Services Firm
10%
Comms Service Provider
7%
Government
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business46
Midsize Enterprise20
Large Enterprise73
By reviewers
Company SizeCount
Small Business11
Midsize Enterprise7
Large Enterprise51
 

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 directly if you want to know more.
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, R integrations if your team requires this. It can handle over 2 billion rows of...
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 the following: - An excellent desktop tool for Data Prep and analytics. - Featu...
What needs improvement with Palantir Foundry?
The Workshop application could be improved because it is not very customizable, but it is still very strong. We also have the React OSK apps, but it does not allow the inbuilt applications such as ...
What is your primary use case for Palantir Foundry?
My main use case for Palantir Foundry is to solve business problems, such as in healthcare. I also worked on a project for a law firm where thousands of PDFs were coming in, and we needed to check ...
What advice do you have for others considering Palantir Foundry?
I believe they should get started by completing all the free certificates, then they could apply to the paid certificates to get a master of Palantir Foundry, solve some real use cases, do examples...
 

Also Known As

Alteryx Designer Cloud, Alteryx Designer
No data available
 

Overview

 

Sample Customers

AnalyticsIq Inc., belk, BloominBrands Inc., Cardinalhealth, Cineplex, Dairy Queen
Merck KGaA, Airbus, Ferrari,United States Intelligence Community, United States Department of Defense
Find out what your peers are saying about Informatica, Palantir, Microsoft and others in Data Integration. Updated: September 2026.
917,181 professionals have used our research since 2012.