Domo vs Google Cloud Datalab comparison

Domo and Google are both solutions in the Data Visualization category. Domo is ranked #10 with an average rating of 7.3, while Google is ranked #19 with an average rating of 7.8. Domo holds a 9.4% mindshare in DV, compared to Google’s 0.7% mindshare. Additionally, 82% of Domo users are willing to recommend the solution, compared to 80% of Google users who would recommend it.

Domo

Read 38 Domo reviews

5,319 Views
2,500 Comparison Views

82% willing to recommend

Google Cloud Datalab

Read 6 Google Cloud Datalab reviews

740 Views
163 Comparison Views

80% willing to recommend

Domo

Google Cloud Datalab

Comparison Buyer's Guide

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Executive SummaryUpdated on Jan 1, 2025

Domo and Google Cloud Datalab are competing in the data analysis and visualization category. Domo tends to have the upper hand in usability and cost-effectiveness, while Google Cloud Datalab stands out for advanced data processing and machine learning capabilities.

Features: Domo offers rich dashboard capabilities, multiple integrations, and a user-friendly interface for business intelligence. It supports customizable data visualization, allowing for easy manipulation and real-time data integration. Google Cloud Datalab provides robust computational tools, collaborative data handling, and integration with other Google services, ideal for data exploration and large data set management.

Room for Improvement: Domo's areas for improvement include enhancing some advanced analytical capabilities and expanding support for machine learning functions. It also could benefit from more customizable data solutions. Google Cloud Datalab might focus on easing deployment complexity, making the system more accessible for non-technical users and improving customer support responsiveness.

Ease of Deployment and Customer Service: Domo is known for its rapid deployment and robust customer service which offers quick problem resolutions, ensuring smooth onboarding. In contrast, Google Cloud Datalab requires more technical expertise during deployment but integrates effectively with other Google Cloud services.

Pricing and ROI: Domo features flexible pricing options that prove cost-effective for businesses seeking simple solutions and tangible ROI. Google Cloud Datalab incurs higher costs due to its advanced infrastructural needs but offers significant ROI for companies investing in data-driven analytics strategies.

To learn more, read our detailed Domo vs. Google Cloud Datalab Report (Updated: July 2025).

Buyer's Guide

Domo vs. Google Cloud Datalab

July 2025

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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

10th

Average Rating

7.8

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Data Integration (40th), BI (Business Intelligence) Tools (13th), Business Performance Management (13th), Reporting (10th)

Google Cloud Datalab

Ranking in Data Visualization

19th

Average Rating

7.8

Reviews Sentiment

6.4

Number of Reviews

Ranking in other categories

Data Science Platforms (18th)

Mindshare comparison

As of August 2025, in the Data Visualization category, the mindshare of Domo is 9.4%, down from 11.4% compared to the previous year. The mindshare of Google Cloud Datalab is 0.7%, up from 0.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Visualization

Featured Reviews

Sumit Chakraborty

Vice President at Indium Software - Independent Software Testing Company

Fast installation, reliable, with proven results for small to mid-size companies

The scalability is excellent. We have input close to fifty billion rows in Domo, and this is where we saw the cards winded in pretty slowly. So we had a performance issue there, but say maximum up to twenty-five to thirty billion, this product is flawless. But when we talk about big data analytics with too many self-service components, this is where we see some performance depreciation. We have more than two hundred using the solution.

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Nilesh Gode

Project Manager - Data Science at Mettler-Toledo International Inc.

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.

Read full review

Quotes from Members

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

Pros

"The best feature of Domo is that it's completely on the cloud. I also like that you can handle data end-to-end without having to depend on multiple tools. Another specific feature I like the most about Domo is Magic ETL because, through it, you can do all your expression, transformation, and loading activities very smoothly. The tool also follows the lineage concept, so you can understand what kind of transformations took place on a particular data set. You can find end-to-end data from the source until it has become the final output or the final data set. Whatever happened to a particular data set, you can understand it through the Domo lineage, and that isn't possible in most of the tools available in the market, but in Domo, that's available. The tool is also solid and because it's on the cloud, it uses multiple data engineering in the backend and multiple algorithms in the back, behind the scenes, resulting in a great performance. For example, if an end user such as the CEO or COO opens a report or the dashboard and it takes more than ten seconds, the end user won't be interested in looking at that report or dashboard, but Domo enables better performance and there's usually no performance issues from that tool."

"In Workbench 5, they have come up with a very useful feature called Upsert. When you're pushing data into the data set, if the data is already available it will update the data, and if that the data is not there it will insert it. That is a beneficial feature that they introduced in the latest version."

"The user interface is quite good."

"The dashboard is the most valuable feature and allows for customization to create and share reports."

"Domo is a local company, and I have found it to be rock solid."

"Domo is not a difficult tool to learn. All you need to know is the SQL for the ETL part. You don't need to write much code. That's the great part. It uses legacy languages, like SQL, which is very common among developers who then don't have to go and learn Domo's own syntax. Therefore, you don't have to learn another hard language to use Domo."

"We've worked with all the features of Domo. Among the most important are Pivot and Sumo Cards. We can use drill-down from the top-most level with a click, generating charts."

"We find the ease of using the solution valuable."

More Domo pros

"The APIs are valuable."

"The infrastructure is highly reliable and efficient, contributing to a positive experience."

"Google Cloud Datalab is very customizable."

"For me, it has been a stable product."

"All of the features of this product are quite good."

"In MLOps, when we are designing the data pipeline, the designing of the data pipeline is easy in Google Cloud."

Cons

"Their organization or client service didn't always keep up... They took on more and more clients and the processes slowed down a little bit."

"Data integration is okay, but not the best."

"One of the biggest problems is that end users require a license to run their own reports and dashboards, which are fairly expensive."

"It is very difficult too, if we do have specific requests or errors that we can't get figure out - especially when it comes to the development platform, developing custom connectors or doing any kind of API work, custom cards - in that there's a lag in the response time."

"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."

"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."

"It is expensive."

"There were very few cases on some of the tables, the data tables, where I wish there was an additional feature or two."

More Domo cons

"The product must be made more user-friendly."

"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."

"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."

"Even if your application is always connected to its database, the processing can be cumbersome. It shouldn't be so complicated."

"Connectivity challenges for end-users, particularly when loading data, environments, and libraries, need to be addressed for an enhanced user experience."

Pricing and Cost Advice

"We are making money from Domo, and all our clients are happy with the information that they receive from it."

"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."

"For about 100 users our cost is $95,800."

"The solution is expensive compared to one of its competitors."

"It is on the pricier end."

"The pricing differs from customer to customer, depending on the package."

"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."

"No matter if you're a developer or an end-user, the licensing cost is around $12 per user per month."

More Domo pricing and cost advice

"It is affordable for us because we have a limited number of users."

"The product is cheap."

"The pricing is quite reasonable, and I would give it a rating of four out of ten."

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Top Industries

By visitors reading reviews

University

12%

Computer Software Company

11%

Financial Services Firm

Manufacturing Company

Financial Services Firm

30%

University

Government

Computer Software Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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.

See all answers

What is your experience regarding pricing and costs for Domo?

Domo is expensive compared to other solutions.

See all answers

What needs improvement with Domo?

Domo is the premium option of all the choices. It has fancy features including a built-in chat program with the Buzz feature that no one uses. When I arrived about a year ago, we had 12 different w...

See all answers

What do you like most about Google Cloud Datalab?

Google Cloud Datalab is very customizable.

See all answers

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...

See all answers

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 ...

See all answers

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Product Reports

Buyer's Guide

Domo

August 2025

Download Domo product report

Buyer's Guide

Google Cloud Datalab

August 2025

Download Google Cloud Datalab product report

Also Known As

corda

No data available

Overview

Domo is a cloud-based, mobile-first BI platform that helps companies drive more value from their data by helping organizations better integrate, interpret and use data to drive timely decision making and action across the business. The Domo platform enhances existing data warehouse and BI tools and allows users to build custom apps, automate data pipelines, and make data science accessible for anyone through automated insights that can be shared with internal or external stakeholders.

Find more information on The Business Cloud Here.

Domo

Cloud Datalab is a powerful interactive tool created to explore, analyze, transform and visualize data and build machine learning models on Google Cloud Platform. It runs on Google Compute Engine and connects to multiple cloud services easily so you can focus on your data science tasks.

Google

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

Buyer's Guide

Domo vs. Google Cloud Datalab

July 2025

Free Report: Domo vs. Google Cloud Datalab

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