No more typing reviews! Try our Samantha, our new voice AI agent.

Alteryx One vs Upsolver comparison

Why PeerSpot?
 

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:
 

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)
Upsolver
Ranking in Data Integration
40th
Average Rating
8.6
Reviews Sentiment
7.6
Number of Reviews
4
Ranking in other categories
Streaming Analytics (22nd)
 

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 Upsolver is 0.7%, up from 0.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Mindshare Distribution
ProductMindshare (%)
Alteryx1.2%
Upsolver0.7%
Other98.1%
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.
reviewer2784462 - PeerSpot reviewer
Software Engineer at a tech vendor with 10,001+ employees
Streaming pipelines have become simpler and onboarding new data sources is now much faster
One of the best features Upsolver offers is the automatic schema evolution. Another good feature is SQL-based streaming transformations. Complex streaming transformations such as cleansing, deduplication, and enrichment were implemented using SQL and drastically reduced the need for custom Spark code. My experience with the SQL-based streaming transformations in Upsolver is that it had a significant positive impact on the overall data engineering workflow. By replacing custom Spark streaming jobs with declarative SQL logic, I simplified development, review, and deployment processes. Data transformations such as parsing, filtering, enrichment, and deduplication could be implemented and modified quickly without rebuilding or redeploying complex code-based pipelines. Upsolver has impacted my organization positively because it brings many benefits. The first one is faster onboarding of new data sources. Another one is more reliable streaming pipelines. Another one is near-real-time data availability, which is very important for us. It also reduced operational effort for data engineering teams. A specific outcome that highlights these benefits is that the time to onboard new sources is reduced from weeks to days. Custom Spark code reduction reached 50 to 40 percent. Pipeline failures are reduced by 70 to 80 percent. Data latency is improved from hours to minutes.

Quotes from Members

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

Pros

"The support is very good overall; we are satisfied with their level of service, and they are knowledgeable and responsive."
"Alteryx makes it easy for the end customer to see clean data in a structured form."
"I think the most valuable feature for Alteryx in a health facility is that it permits cleaning, organizing, and merging of databases such as Excel and Access."
"It is one of the most complete and great customer service that I experienced with a software company/ecosystem."
"Alteryx offers a cognitive approach to better understand data and purposes."
"Once we got it in-house, I knew its value."
"The solution has been stable."
"The scheduling feature for the automation is excellent."
"The most prominent feature of Upsolver is its function as an ETL tool, allowing data to be moved across platforms and different data technologies."
"It was easy to use and set up, with a nearly no-code interface that relied mostly on drag-and-drop functionality."
"I have saved 50 to 60% on maintaining pipelines since using Upsolver."
"Customer service is excellent, and I would rate it between eight point five to nine out of ten."
"A specific outcome that highlights these benefits is that the time to onboard new sources is reduced from weeks to days, custom Spark code reduction reached 50 to 40 percent, pipeline failures are reduced by 70 to 80 percent, and data latency is improved from hours to minutes."
 

Cons

"There have been some issues with licensing, particularly with the increased prices. This has led some companies, including ours, to consider reducing the number of licenses or potentially discontinuing their use of Alteryx."
"When configuring the Logix, the UA could be improved."
"When the workflows are huge and complex, it may take some time to refresh it."
"The solution can be made more affordable."
"The scalability worries me a lot at the moment because the cost of the solution is high and it is not growing considerably. Unfortunately, we started during early COVID times and because of the economic downturn, all the cost cuttings, and everything, it is not growing as expected."
"The solution could improve in the visualization."
"I would like to be able to include small snippets of code inside of the solution. The tool has only drag-and-drop features to make it easy to use, but sometimes I feel like this makes it more complicated."
"Alteryx is a little bit expensive compared to competing solutions."
"There is room for improvement in query tuning."
"On the stability side, I would rate it seven out of ten. Using multiple cloud providers and data engineering technologies creates complexity, and managing different plugins is not always easy, but they are working on it."
"I would say Upsolver's scalability is eight out of 10 because of pricing."
"Upsolver excels in ETL and data aggregation, while ThoughtSpot is strong in natural language processing for querying datasets. Combining these tools can be very effective: Upsolver handles aggregation and ETL, and ThoughtSpot allows for natural language queries. There’s potential for highlighting these integrations in the future."
"I think that Upsolver can be improved in orchestration because it is not a full orchestration tool."
 

Pricing and Cost Advice

"We use the free version of the solution. There are enterprise licenses available. It cost approximately $5,000 annually. It is an expensive solution and there are additional features that cost more money."
"We have a yearly cost that we pay for the licensing. We do not pay any costs in addition to the licensing fees."
"The designer has a list price of $5,995 USD."
"The cost of the solution could be reduced."
"It's probably on the pricey side, but they provide some really useful ways to grow and test."
"The cost of Alteryx is approximately $2,900 annually."
"The desktop platform costs $5,000 per year. It's very costly."
"The license price of the solution is expensive."
"Upsolver is affordable at approximately $225 per terabyte per year."
report
Use our free recommendation engine to learn which Data Integration solutions are best for your needs.
917,181 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
20%
Manufacturing Company
9%
Construction Company
8%
Outsourcing Company
7%
Real Estate/Law Firm
14%
Manufacturing Company
14%
Retailer
12%
Outsourcing Company
11%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business46
Midsize Enterprise20
Large Enterprise73
No data available
 

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 is your experience regarding pricing and costs for Upsolver?
My experience with pricing, setup cost, and licensing is that the pricing is nine out of 10.
What needs improvement with Upsolver?
I think Upsolver can be improved with deeper integration with external orchestration out of the box. I would appreciate more clear dashboards with billing in real time as a needed improvement.
What is your primary use case for Upsolver?
My main use case for Upsolver is to operate with changes in the structure of new data without a pipeline disrupting. I write SQL queries in Upsolver, and the platform takes care of the data itself,...
 

Comparisons

 

Also Known As

Alteryx Designer Cloud, Alteryx Designer
No data available
 

Overview

 

Sample Customers

AnalyticsIq Inc., belk, BloominBrands Inc., Cardinalhealth, Cineplex, Dairy Queen
Information Not Available
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.