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Census vs Domo comparison

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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

Census
Ranking in Data Integration
45th
Average Rating
9.0
Reviews Sentiment
5.4
Number of Reviews
2
Ranking in other categories
No ranking in other categories
Domo
Ranking in Data Integration
18th
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 (8th)
 

Mindshare comparison

As of October 2026, in the Data Integration category, the mindshare of Census is 0.4%, up from 0.3% compared to the previous year. The mindshare of Domo is 0.7%, down from 0.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration Mindshare Distribution
ProductMindshare (%)
Domo0.7%
Census0.4%
Other98.9%
Data Integration
 

Featured Reviews

reviewer2784462 - PeerSpot reviewer
Software Engineer at a tech vendor with 10,001+ employees
Data activation has become faster and business teams access consistent customer insights
Census has been very useful to us as a reverse ETL layer. We have reduced engineering efforts, which has translated into tens of thousands of euros per year in avoided development and maintenance costs, faster and more accurate customer activation, and other improvements that we achieved using Census. Census is faster than our previous approach. Census has enabled faster activation of analytic data into CRM and marketing platforms in our case. Another key benefit is the elimination of manual exports and custom integration scripts, consistent customer data across analytical and operational systems. The best feature that Census offers is that it works directly on top of the data warehouse, preserving a single source of truth. Another valuable feature is that Census provides excellent support for CRM, marketing, and customer-facing platforms. Census creates a single source of truth by making the data warehouse the only place where business logic and data definition live and by ensuring that all downstream operational systems are consumers, not owners of data. All customer attributes, metrics, and segments are defined once, directly in the data warehouse, using SQL and existing data models. Census was useful for us because of the fast time to value, as new syncs can be configured and deployed quickly without custom development. It also ensures that data models are clean and well-defined in the data warehouse after we start using Census. Based on delivery metrics and team feedback, the benefit is that the time to activate new use cases was reduced from weeks to days. Engineering effort dedicated to reverse ETL pipelines decreased by sixty to seventy percent. Maintenance overhead for custom integration was almost completely eliminated, and marketing and growth teams accelerated experimentation cycles significantly. From a cost perspective, reduced engineering effort translated into tens of thousands of euros per year in avoided development and maintenance costs, and faster and more accurate customer activation improved campaign effectiveness and business responsiveness.
Samuel Adeyemo - PeerSpot reviewer
Founder & CEO at AI-OT
Has streamlined high-volume data analysis and mobile access while facing challenges with pricing and complexity
In the past, most of the complaints about using Domo were about the pricing structure being more expensive than regular ones. Some complained that it's too elaborate and too intricate. The major downside for Domo is the pricing structure, which is a big turnoff for everyone. Domo has been existing since 2010 and became popular around 2017-2018. If they actually work on their pricing structure, more people would be inclined to use Domo. They could improve their AI capabilities. AI agents and many AI-based platforms are now using voice commands. In Domo you could use SQL, but they haven't really harnessed the full capabilities of AI. There are many ways to interact with AI that could be added to new updates.

Quotes from Members

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

Pros

"Reverse ETL makes warehouse data more accessible to business teams, saves repetitive work, and helps improve the consistency of customer information across platforms."
"Based on delivery metrics and team feedback, the benefit is that the time to activate new use cases was reduced from weeks to days, engineering effort dedicated to reverse ETL pipelines decreased by sixty to seventy percent, maintenance overhead for custom integration was almost completely eliminated, and marketing and growth teams accelerated experimentation cycles significantly."
"Using the "cards" which function as preconfigured reports or views. I use many of them simultaneously on an organized page, with filters that allow me to see high-level information as well as subsets across the dataset, in a few clicks. Many Excel-challenged users love to use this product for its simplicity."
"The ETL tools they have in Redshift are pretty awesome... I can work in Redshift to get the data from AWS and work in Redshift, in Domo, to create Transforms and the data structure we need..."
"When it comes to Domo, we have one platform for data integration as well as for data modeling, transformations, and creating visualizations such as charts, graphs, and cards, which is beneficial because in Power BI we have multiple modules for these functions."
"It has helped with productivity and efficiency, saving me an estimated 10 to 15 hours a week and enabling our team to share real-time, accurate data across the country so business decisions are made more efficiently and accurately."
"The tool has some potential, but as of two years ago, it was still a long way from fulfilling on the promise."
"With ETL transformations in SQL lists, you often write a lot of queries. You have to build a bunch of code for the data. With Domo, one of the pieces we have is Magic ETL. In Magic ETL, you don't need to write code. You don't need to be a specialist in SQL or any database query language."
"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."
 

Cons

"I would like to see more advanced data quality checks, clearer error messages when a sync fails, and easier troubleshooting for complex workflows."
"The areas for improvement are complex transformation logic because it must still be handled upstream in the warehouse, and cost predictability requires attention at high data volumes."
"Domo or any other BI tool has room for improvement, in particular, in the calculations."
"I would also like to see improvements to their drag and drop Magic ETL tool. You can drag and drop your ETL tool, but it doesn't really work for a large amount of data. It struggles with that. In a real-world application, where you're working with 30 million rows or 100 million rows, it takes a bit longer to process the data. If you do it in the Redshift ETL tool, using your own code, it's much faster."
"They should include service-based reporting features."
"I would like to publish a dashboard for the employees so that they can also see the performance of our organization. But that is not a feature in Domo, although it's something that Zoho provided."
"It was zero. We paid for a year's contract and made no money from its use."
"It's quite slow. We are using about 2,000,000 rows of data. Creating certain reports takes almost a couple of minutes, which should not be the case."
"Data integration is okay, but not the best."
"I would like to see more flexibility in their pricing structure."
 

Pricing and Cost Advice

Information not available
"They've built an "app economy." Some of them are really expensive, so they're not for startups and smaller companies. They're more like enterprise tools. We couldn't afford some of them, because they were so crazy expensive. But if I was working for a bank, insurance company, or some bigger corporation then, for sure, you could justify those prices... It was silly expensive back then and it probably still is, or even more expensive."
"Because it's software as a service, it's more expensive on the face of it. But there are a lot of variables. I don't have to pay for servers or for infrastructure. I don't have to pay labor for my IT organization to set up or maintain the environment. I don't have to pay for them to upgrade the software, and test it, etc., because when it rolls out, it is transparent and seamless for us. But, because of that, it costs more, I imagine, than Sisense, or Yellowfin, or Power BI. A lot of those make it sound like they're inexpensive, but when you add in all the hidden costs and all of the overhead, it's probably comparable."
"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."
"It is on the pricier end."
"The pricing differs from customer to customer, depending on the package."
"For about 100 users our cost is $95,800."
"It started out at about $600 a seat. However, then as we started to grow, it scaled that down to about $330 or 3$50 a seat, if I'm not mistaken."
"I think it is reasonable."
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Top Industries

By visitors reading reviews
Financial Services Firm
11%
Construction Company
10%
Comms Service Provider
10%
Healthcare Company
10%
Manufacturing Company
10%
Financial Services Firm
8%
Comms Service Provider
8%
Outsourcing Company
7%
 

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 needs improvement with Census?
Census has been performing very well overall. One area that may need improvement is that sometimes a custom setup is very difficult to configure. This was the case with our Intercom segment setup. ...
What is your primary use case for Census?
Census is a versatile data synchronizing solution that solves a wide range of data management problems for our business. With Census, we were able to reduce the sync time taken to transfer data fro...
What advice do you have for others considering Census?
I would rate Census an eight out of ten according to my experience. I feel it is not quite a ten because sometimes a custom setup is very difficult to configure. This was the case with our Intercom...
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

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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, Palantir, Microsoft and others in Data Integration. Updated: October 2026.
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