Domo vs Looker comparison

"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."

"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..."

"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."

"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."

"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 dashboarding itself was pretty easy. So both the front and the back end were positive in this case."

"This solution allows us to change our performance metrics and tracks our goals in real-time."

"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."

"The stability of Looker has been good since I have been using it. However, it depends on what components are being used."

"With Looker, I have experienced benefits in terms of usability and shareability."

"From a developer's perspective, the way the functionality's being handled is great."

"It is a pretty stable solution because it is a cloud-based product."

"The product is easy to use."

"I would rate the stability a ten out of ten. I didn't face any issues with stability."

"Looker allows you to generate the most optimal SQL queries in a DC through UI actions. We had signed a contract with Google Cloud to use BigQuery. That was the primary reason we adopted Looker. It works better with BigQuery than any other BI platform. We also like how this tool was developed. It was designed with an eye toward microservices architecture."

"It's quite effortless to navigate through various applications and review their updated data in real-time."

"It is expensive."

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

"The preconfigured apps need to be more relevant to allow one, out of the box, to load data in order to use pre-set reports/views."

"I would like to be able to drill down more when there is a particular area where there is a problem. I don't clearly see that in Domo at the moment."

"Their STK is not up to date and you can't access it on their website. They have a private STK to access resources in Domo."

"I would like to see better data intake."

"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."

"The forecasting feature, the regression features, and the Python libraries could all be improved. They're all in beta."

"The product does not have documented material."

"Stability needs improvement."

"The main area of concern in Looker is probably related to blending the data from the different sources, including the data present internally in the company and on the cloud."

"The integration with different databases must be improved."

"Looker doesn't connect to Excel, which is a huge disappointment because a lot of data is presented in Excel. Also, it can't consume data directly from REST APIs, which is necessary. Looker needs to expand its horizons when it comes to data sources. The inability to connect to different data sources is hampering our use cases. Currently, it only has an ODBC connection that connects to a database. It needs to connect to other data sources, such as Excel, APIs, and different platforms."

"Integrations with other BI tools could be better."

"It needs to be more user-friendly."

"The visualization capability of the product is limited."

"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."

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

"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."

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

"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."

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

"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."

"It is cheap."

"The price of Looker usually depends on the solution's provider, but it is usually cheaper than the other products in the market. Looker is offered at different prices for different companies."

"It's not cheap, but it's not expensive for big companies."

"I do not have to make any payments to use the solution."

"Looker is expensive and could be made better by reducing it."