We performed a comparison between Domo and Looker based on real PeerSpot user reviews.
Find out what your peers are saying about Microsoft, Tableau, SAP and others in BI (Business Intelligence) Tools."It has the best GUI. And it already has an ETL tool embedded in it..."
"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."
"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 dashboarding itself was pretty easy. So both the front and the back end were positive in this case."
"We find the ease of using the solution valuable."
"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."
"I mostly see it as an ETL which has many system connectors. It does a good job of ETL."
"The data certification feature, where the admin user can put a certified stamp on a data source so that other users can know that that is the correct and accurate data flow or data source to use, is a good feature."
"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."
"I would rate the stability a ten out of ten. I didn't face any issues with stability."
"With Looker, I have experienced benefits in terms of usability and shareability."
"It's quite effortless to navigate through various applications and review their updated data in real-time."
"From a developer's perspective, the way the functionality's being handled is great."
"The stability of Looker has been good since I have been using it. However, it depends on what components are being used."
"We can centralize all our data models."
"The product is easy to use."
"There's a learning curve before you can get used to the solution."
"They could use more charts. They have had a very limited number of charts we can use. I believe, now, there are somewhere around 30 of them, but they could definitely use some more options."
"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."
"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."
"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."
"The forecasting feature, the regression features, and the Python libraries could all be improved. They're all in beta."
"It is expensive."
"I would like to see more dashboard creation options."
"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."
"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."
"The product does not have documented material."
"Integrations with other BI tools could be better."
"The visualization capability of the product is limited."
"The integration with different databases must be improved."
"Stability needs improvement."
"It needs to be more user-friendly."
Domo is ranked 11th in BI (Business Intelligence) Tools with 35 reviews while Looker is ranked 5th in Embedded BI with 19 reviews. Domo is rated 7.8, while Looker is rated 8.0. The top reviewer of Domo writes "Robust, powerful, and easy to use". On the other hand, the top reviewer of Looker writes "The APIs are exposed at every level, so it's highly modular". Domo is most compared with Tableau, Microsoft Power BI, Databricks, Amazon QuickSight and Apache Superset, whereas Looker is most compared with Amazon QuickSight, Tableau, Google Data Studio, Databricks and MicroStrategy.
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