"The GUI interface is nice and 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."
"We can centralize all our data models."
"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."
"It is a pretty stable solution because it is a cloud-based product."
"The product is easy to use."
"The organization of the icons is not saved across users."
"There was an issue with the incremental aggregation not working as indicated."
"The product was not able to meet our 10 second refresh requirements."
"Integrations with other BI tools could be better."
"It needs to be more user-friendly."
"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 visualization capability of the product is limited."
"The product does not have documented material."
"Stability needs improvement."
"The integration with different databases must be improved."
"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."
Earn 20 points
AtScale Adaptive Analytics (A3) is ranked 5th in Data Virtualization while Looker is ranked 4th in Embedded BI with 19 reviews. AtScale Adaptive Analytics (A3) is rated 5.0, while Looker is rated 8.0. The top reviewer of AtScale Adaptive Analytics (A3) writes "The GUI interface is nice and easy to use, but the organization of the icons is not saved across users". On the other hand, the top reviewer of Looker writes "The APIs are exposed at every level, so it's highly modular". AtScale Adaptive Analytics (A3) is most compared with Denodo, Dremio, SAP BusinessObjects Business Intelligence Platform, ThoughtSpot and Collibra Lineage, whereas Looker is most compared with Amazon QuickSight, Tableau, Google Data Studio, Qlik Sense and Databricks.
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