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

Ascend.io vs Domo 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

Ascend.io
Ranking in Data Integration
42nd
Average Rating
9.0
Reviews Sentiment
4.9
Number of Reviews
2
Ranking in other categories
No ranking in other categories
Domo
Ranking in Data Integration
19th
Average Rating
7.8
Reviews Sentiment
6.5
Number of Reviews
48
Ranking in other categories
BI (Business Intelligence) Tools (6th), Business Performance Management (7th), Reporting (4th), Data Visualization (7th)
 

Mindshare comparison

As of August 2026, in the Data Integration category, the mindshare of Ascend.io is 0.4%, up from 0.1% compared to the previous year. The mindshare of Domo is 0.7%, up from 0.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Mindshare Distribution
ProductMindshare (%)
Domo0.7%
Ascend.io0.4%
Other98.9%
Data Integration
 

Featured Reviews

reviewer2784462 - PeerSpot reviewer
Software Engineer at a tech vendor with 10,001+ employees
Automated data pipelines have transformed complex workloads and now deliver faster, reliable insight
The standout feature is the Data Awareness Engine, in my opinion the intelligent control plane. Unlike traditional orchestrators that run tasks based on schedules or external events, Ascend.io understands the state of the data. If a source file changes or transformation logic is updated, the engine automatically identifies only the impacted data partitions and recalculates exclusively those. This eliminated the need to write complex logic for partial reloads and ensures that downstream data is always consistent with the latest version of the code. Ascend.io impacted my organization positively because it helped me solve my problem by solving our operational maintenance crisis. Previously, every time a Spark job failed, we had to manually intervene to clean up partial data and restart the pipeline. With Ascend.io, infrastructure management and checkpointing are fully automated. It drastically reduced our technical debt, allowing our data engineers to focus on business logic rather than cluster management or writing boilerplate ingestion code. Code reduction eliminated 60% to 70% of custom Spark code. Operational cost saw a 30% reduction in man-hours dedicated to pipeline maintenance and incident management. The meantime to recovery reduced from hours to minutes due to automatic failure tracking. With Ascend.io, you write what you want, not how to do it. It is a declarative approach and reduces code by 80%. This is very important to me. A good feature is the integrated lineage because an instant visualization of data flow across all components is very useful.
RD
Assistant Manager at a tech services company with 10,001+ employees
Have improved workflow efficiency through custom reports but encountered formatting limitations
The downsides of Domo are that we don't have a feature in the same column. When data comes in a time format, text format, and number format, we cannot segregate and create conditional formatting in that column. If in the future they develop this feature, it will benefit more users. Domo requires maintenance on my end, such as updates. I am maintaining some dashboards on a weekly basis and monthly basis daily reports. Because we need to upload in SFTP, we cannot schedule or auto-schedule due to rate purposes. We manually handle the data sets. If there were an option to reduce the cost, it would be easier to access.

Quotes from Members

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

Pros

"One of the best features Ascend.io offers is Agentic analytics, which applies Agentic AI within systems to verify and operationalize data products, and it is live, allowing you to build systems and visualizations that turn data and different data sets into production-ready workflows."
"With Ascend.io, infrastructure management and checkpointing are fully automated, drastically reducing our technical debt, allowing our data engineers to focus on business logic rather than cluster management or writing boilerplate ingestion code."
"The fact that you can add any data source is valuable. The entire data handling suite they have, all the apps, etc., is pretty amazing. One of the key things, not being a techie or a data-warehouse guy, is that you can connect data sources, and do all kinds of pretty amazing things."
"What makes me really fond of Domo is the ETL because it enables us to maximize a single platform for pulling reports and automating things. We can send the raw data from a third-party platform and do the rest of the ETL in Domo, including transforming data, adding columns, etc."
"In my 15 years of professional experience in IT and Project Controls, this system is truly the one that is the unicorn."
"The one thing that stands out in case of Domo is that you have everything under the same tool; you don't have to log in into any particular cloud services to have access to that platform as it's just a web-hosted platform and everything related to data engineering, data science, ETL, everything comes under the same umbrella."
"We are making money from Domo, and all our clients are happy with the information that they receive from it."
"Domo has a lot of connections using APIs where you can use data from different databases, such as NoSQLs, SQL databases, and other connections. These connections exist to obtain data and transform whatever that you want."
"Domo's real-time insights and customizable alerts are one of their better features."
"The ease of graphing is a great feature, as it takes the pivot out of pivot tables because once the parameters are set up, the same graphs will continue to be populated based on the new information so there is no need to keep creating graphs."
 

Cons

"Ascend.io can be improved by perhaps expanding its reach beyond small industries to get into big industries or large investment companies and big financial industries, revolutionizing how data plays certain roles in leadership and decision-making."
"Ascend.io can be improved regarding the initial learning curve because for those used to writing pure Spark code, a mindset shift is required to trust the tool's automation."
"If we have unwanted data in our data set as raw data, we need to cleanse and structure it first because having excessive data in Domo will increase loading time and occupy large amounts of space."
"There were very few cases on some of the tables, the data tables, where I wish there was an additional feature or two."
"I would like to see more flexibility in their pricing structure."
"It was pretty expensive. The cost didn't justify keeping it around when you look and compare it to other existing tools in the business."
"In Domo, sometimes it takes too much time to upload data. If improvements can happen in this area, that would be better."
"It is expensive."
"More functions on the ETL side for the drag and drop ETL."
"They should include service-based reporting features."
 

Pricing and Cost Advice

Information not available
"The price that they offered was around $200 per user license. It was pretty cheap at that time compared to other companies. I think they have revamped their pricing structure since then."
"Domo is slightly costly but it's much cheaper than some."
"I think it is reasonable."
"I believe that the investment in Domo was worthwhile because it allowed for the organization to jump in quickly, with little training. There are different plans available based on the requirements."
"The solution is expensive compared to one of its competitors."
"No matter if you're a developer or an end-user, the licensing cost is around $12 per user per month."
"We are making money from Domo, and all our clients are happy with the information that they receive from it."
"I'm not sure about pricing, but I believe Domo is quite costly. Prior to joining this organization, I had a Domo license with my former employer and I think that license was around $500 to $600 annually. That was for a single license. I think it varies, depending on the organization that is acquiring Domo."
report
Use our free recommendation engine to learn which Data Integration solutions are best for your needs.
910,564 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Construction Company
37%
Government
9%
Financial Services Firm
7%
Manufacturing Company
7%
Manufacturing Company
10%
Financial Services Firm
8%
University
8%
Outsourcing Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business17
Midsize Enterprise13
Large Enterprise20
 

Questions from the Community

What is your experience regarding pricing and costs for Ascend.io?
Our experience has been very positive due to the AWS Marketplace integration. The customer shared this feedback with us. Regarding setup cost, they were remarkably low because Ascend.io is a SaaS p...
What needs improvement with Ascend.io?
Ascend.io can be improved regarding the initial learning curve because for those used to writing pure Spark code, a mindset shift is required to trust the tool's automation. Another area for improv...
What is your primary use case for Ascend.io?
My main use case for Ascend.io is that we have been working with an e-commerce client that was struggling to manage the complexity of their ETL pipelines. The team was spending 80% of their time wr...
What is your experience regarding pricing and costs for Domo?
My experience with pricing, setup cost, and licensing is that there was very little.
What needs improvement with Domo?
I'm not sure how Domo can be improved overall, as it's a really good experience.
What is your primary use case for Domo?
My main use case for Domo involves building different tables and different cards so I can look at different data points. A quick specific example of a table I have built or a data point I often loo...
 

Comparisons

 

Also Known As

No data available
corda
 

Overview

 

Sample Customers

Information Not Available
Capco, SABMiller, Stance, eBay, Sage North America, Goodwill Industries of Central Indiana, Telus, The Cliffs, OGIO International Inc., and many more!
Find out what your peers are saying about Informatica, Microsoft, Palantir and others in Data Integration. Updated: August 2026.
910,564 professionals have used our research since 2012.