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Alteryx Designer vs Upsolver 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:
 

Categories and Ranking

Alteryx Designer
Ranking in Data Integration
16th
Average Rating
7.8
Reviews Sentiment
6.8
Number of Reviews
31
Ranking in other categories
No ranking in other categories
Upsolver
Ranking in Data Integration
38th
Average Rating
8.4
Reviews Sentiment
7.4
Number of Reviews
3
Ranking in other categories
Streaming Analytics (20th)
 

Mindshare comparison

As of February 2026, in the Data Integration category, the mindshare of Alteryx Designer is 1.5%, down from 2.7% compared to the previous year. The mindshare of Upsolver is 0.7%, up from 0.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Market Share Distribution
ProductMarket Share (%)
Alteryx Designer1.5%
Upsolver0.7%
Other97.8%
Data Integration
 

Featured Reviews

Prince Raju - PeerSpot reviewer
Lead Data Analyst at Ernst & Young
Powerful tool for cleansing, formatting, and transforming data – especially unstructured files
When you open a raw Excel file, it can be hard to look at everything in detail. Alteryx makes it much easier to go through the data, summarize it, and use different tools for analysis. So, Alteryx Designer have significantly reduced the time I spend on data analysis tasks. Moreover, the drag-and-drop interface of Alteryx Designer improved our overall workflow.
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

"I like Alteryx's browser tool because you can view how your data is handled live. There are many other valuable tools like transpose and the crosstab. You can quickly pivot your data, and there are connections throughout the database. It's so easy to create a connection. If you connect to sign apps or a more complex database, the tool contains all the tools you need."
"Alteryx Designer is a tool that is pretty much easy to install."
"It has an easy setup process."
"Alteryx Designer is stable."
"The product offers very good analytics."
"The solution is user-friendly."
"For my daily analytics needs, the entire Alteryx Designer platform is beneficial."
"When you open a raw Excel file, it can be hard to look at everything in detail. Alteryx makes it much easier to go through the data, summarize it, and use different tools for analysis."
"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."
"Customer service is excellent, and I would rate it between eight point five to nine out of ten."
"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."
 

Cons

"When configuring the Logix, the UA could be improved."
"The price of the product is an area with certain shortcomings where improvements are required."
"When it comes to the pivoting part, the drill-through option is not there in Alteryx."
"The product could offer more connectors and more databases with support for the in-database function."
"Alteryx Designer's pricing and support could be improved."
"Optimizing processing times is one area I would like to see improved in Alteryx Designer. Sometimes, the workflows take an extremely long time to run. There are days when I have had to wait two to three hours for a single process to complete. There needs to be a functionality to split the processes."
"Alteryx Designer's cost should be improved."
"The conditional join feature should be improved."
"There is room for improvement in query tuning."
"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."
"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 think that Upsolver can be improved in orchestration because it is not a full orchestration tool."
 

Pricing and Cost Advice

"Alteryx Designer is an expensive solution."
"Alteryx Designer is a very expensive solution."
"The pricing is bit expensive."
"I rate the price of Alteryx Designer as a five on a scale of one to ten, where one is extremely expensive, and ten is a highly cheap product."
"The solution is expensive. It has license fees, which are renewable every year."
"I rate the price of Alteryx Designer a ten on a scale of one to ten, where one is low price and ten is high price."
"The product is a bit expensive, it should be looked into."
"Alteryx Designer is an expensive solution."
"Upsolver is affordable at approximately $225 per terabyte per year."
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Top Industries

By visitors reading reviews
Financial Services Firm
20%
Manufacturing Company
11%
Computer Software Company
7%
Energy/Utilities Company
6%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business12
Midsize Enterprise3
Large Enterprise17
No data available
 

Questions from the Community

What do you like most about Alteryx Designer?
When you open a raw Excel file, it can be hard to look at everything in detail. Alteryx makes it much easier to go through the data, summarize it, and use different tools for analysis.
What is your experience regarding pricing and costs for Alteryx Designer?
It's cheaper than Palantir, but even Alteryx is too much for small clients. It is expensive, considering the server capabilities.
What needs improvement with Alteryx Designer?
For smaller clients with ten to 15 employees, Alteryx can be expensive. The server capabilities are costly too. The technical support could also improve by being quicker in response times.
What is your experience regarding pricing and costs for Upsolver?
My experience with pricing, setup cost, and licensing was a very good experience, but it is not a direct experience because it was not my responsibility. It was in charge of the customer. However, ...
What needs improvement with Upsolver?
I think that Upsolver can be improved in orchestration because it is not a full orchestration tool. I believe it could be better in this regard. The cost needs attention at a very large scale. I th...
What is your primary use case for Upsolver?
My main use case for Upsolver is during an IT consulting project for a large enterprise running a cloud-native data platform on AWS. I used Upsolver to ingest and process high-volume stream data fr...
 

Comparisons

 

Overview

Information not available
Find out what your peers are saying about Alteryx Designer vs. Upsolver and other solutions. Updated: February 2026.
881,707 professionals have used our research since 2012.