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Domo vs Google Cloud Datalab comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 1, 2025

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

Domo
Ranking in Data Visualization
7th
Average Rating
7.8
Reviews Sentiment
6.6
Number of Reviews
45
Ranking in other categories
Data Integration (24th), BI (Business Intelligence) Tools (6th), Business Performance Management (10th), Reporting (8th)
Google Cloud Datalab
Ranking in Data Visualization
18th
Average Rating
7.8
Reviews Sentiment
6.4
Number of Reviews
6
Ranking in other categories
Data Science Platforms (19th)
 

Mindshare comparison

As of October 2025, in the Data Visualization category, the mindshare of Domo is 7.9%, down from 12.4% compared to the previous year. The mindshare of Google Cloud Datalab is 0.8%, up from 0.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Visualization Market Share Distribution
ProductMarket Share (%)
Domo7.9%
Google Cloud Datalab0.8%
Other91.3%
Data Visualization
 

Featured Reviews

Dave Ramos - PeerSpot reviewer
Has enabled me to integrate AI workflows and drive self-service analytics across organizations
There's room for improvement in their focus on enterprise clients. As a small business owner, there's nothing as powerful as Domo available for smaller organizations. I understand it's a business focus for them as they're looking to expand in that direction, but there's an opportunity to capture the SMB market by creating more capabilities. It's not necessarily about technical capabilities, but rather pricing that's geared towards the small business market. Capability-wise, it's very robust. If I had to stretch, I would suggest more integrations to other common tools, such as Zapier and operational tools like Mailchimp, where you can build and extend ETL in a no-code environment. While there are capabilities you can build from Domo's open APIs, having more native integrations in a no-code, low-code environment would be beneficial. Domo has many native integrations, but better tools for the SMB operational pipeline would be valuable.
Nilesh Gode - PeerSpot reviewer
Easy to setup, stable and easy to design data pipelines
The scalability is average. We have not faced any issues with scalability. There are more than 500 end users using this solution in our company. It is an integral part of the daily operations. The usage pattern is not a one-time thing; employees regularly access and utilize the application. We use it at a global level with a scattered user base. This means that users don't all use the application at the same time. So, around 300 out of 500 employees use the solution, and this usage is spread out throughout the day.

Quotes from Members

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

Pros

"The user interface is quite good."
"There are many valuable features, especially the charts and graphs that make it easy to pass information to people that are not really technical."
"One feature which I have found to be very interesting is the Beast manager, where you can create calculated fields. They are shared in one common repository so someone else can use the same calculated fields; they don't have to rewrite or reinvent the APIs."
"In general, Domo is very powerful and very easy to use, relatively speaking."
"The dashboarding itself was pretty easy. So both the front and the back end were positive in this case."
"My favorite feature in Domo is Beast Mode, and we have Insights; when asking insights on the right side of the dashboard, we create insights, and if I ask questions in segments, they provide more information regarding the dashboard and data set."
"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."
"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."
"All of the features of this product are quite good."
"The APIs are valuable."
"In MLOps, when we are designing the data pipeline, the designing of the data pipeline is easy in Google Cloud."
"For me, it has been a stable product."
"Google Cloud Datalab is very customizable."
"The infrastructure is highly reliable and efficient, contributing to a positive experience."
 

Cons

"The forecasting feature, the regression features, and the Python libraries could all be improved. They're all in beta."
"There's a learning curve before you can get used to the solution."
"Data integration is okay, but not the best."
"Domo has moved to a consumption pricing model, which can be both advantageous and challenging."
"In Tableau, you can create virtually any kind of visualization. Based on your creativity, you can create a visualization on a human body structure, you can create a visualization on anything that you want. But Domo is limited to a few kinds of visualization views: standard things like bar, pie, and some other charts... I would like to see them add new views for presenting the data in the visualization space."
"It is expensive."
"I would like to see more flexibility in their pricing structure. The trend is moving from database pricing to a user-license pricing model. That would be a benefit if they wanted to reevaluate their pricing structure."
"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."
"The interface should be more user-friendly."
"There is room for improvement in the graphical user interface. So that the initial user would use it properly, that would be a good option."
"The product must be made more user-friendly."
"Connectivity challenges for end-users, particularly when loading data, environments, and libraries, need to be addressed for an enhanced user experience."
"Even if your application is always connected to its database, the processing can be cumbersome. It shouldn't be so complicated."
"We have also encountered challenges during our transition period in terms of data control and segmentation. The management of each channel and data structure as it has its own unique characteristics requires very detailed and precise control. The allocation should be appropriate and the complexity increases due to the different time zones and geographic locations of our clients. The process usually involves migrating the existing database sets to gcp and ensure data integrity is maintained. This is the only challenge that we faced while navigating the integers of the solution and honestly it was an interesting and unique experience."
 

Pricing and Cost Advice

"It is on the pricier end."
"Domo is slightly costly but it's much cheaper than some."
"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 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."
"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."
"Domo has more than one licensing model. You can choose between the yearly subscription and the per-user licensing model. The tool is flexible in terms of licensing. As for the cost, Domo is an end-to-end BI tool so its pricing is a little higher than other players in the market, for example, non end-to-end BI tools such as OBIEE and Tableau specific only for business intelligence and presenting data to the end users, unlike Domo which handles everything. You want to get Domo as an integration tool, an ETL tool, etc. As the tool is end-to-end, its cost is always going to be a little higher than other BI tools, but it's worth paying because you won't have to spend extra for other activities. After all, Domo can do those activities."
"The product is cheap."
"The pricing is quite reasonable, and I would give it a rating of four out of ten."
"It is affordable for us because we have a limited number of users."
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Top Industries

By visitors reading reviews
University
12%
Computer Software Company
10%
Financial Services Firm
9%
Manufacturing Company
7%
Financial Services Firm
28%
University
8%
Computer Software Company
8%
Government
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business16
Midsize Enterprise11
Large Enterprise20
No data available
 

Questions from the Community

What do you like most about Domo?
All our client SLAs and daily and weekly dashboards are tracked on Domo.
What is your experience regarding pricing and costs for Domo?
Domo's pricing is high compared to other BI tools, and it is costly. I do not find Domo cost-effective; it would be very hard if it is a single user. However, if it goes with the organization's uti...
What needs improvement with Domo?
I have not used Domo's collaborative features extensively. Regarding Domo's AI-driven insights in uncovering trends and forecasting outcomes, the limiting factor is that you need to define all of y...
What do you like most about Google Cloud Datalab?
Google Cloud Datalab is very customizable.
What needs improvement with Google Cloud Datalab?
Access is always via URL, and unless your network is fast, it would be a little tough in India. In India, if we had a faster network, it would be easier. In a big data environment, like when forcin...
What is your primary use case for Google Cloud Datalab?
It's for our daily data processing, and there's a batch job that executes it. The process involves more than ten servers or systems. Some of them use a mobile network, some are ONTAP networks, and ...
 

Also Known As

corda
No data available
 

Overview

 

Sample Customers

Capco, SABMiller, Stance, eBay, Sage North America, Goodwill Industries of Central Indiana, Telus, The Cliffs, OGIO International Inc., and many more!
Information Not Available
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