Looker is a BI application with an analytics-oriented application server that sits on top of relational data stores. It includes an end-user interface for exploring data, a reusable development paradigm for data discovery, and an API for supporting data in other systems.
N/A
Microsoft Power BI Embedded
Score 8.5 out of 10
N/A
A solution from Microsoft to provide customer-facing reports, dashboards, and analytics in applications by using and branding Power BI as one's own. Designed to reduce developer resources by automating the monitoring, management, and deployment of analytics, while getting full control of Power BI features and intelligent analytics.
N/A
Pricing
Looker
Microsoft Power BI Embedded
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Looker
Microsoft Power BI Embedded
Free Trial
Yes
No
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
Required
No setup fee
Additional Details
Must contact sales team for pricing.
—
More Pricing Information
Community Pulse
Looker
Microsoft Power BI Embedded
Features
Looker
Microsoft Power BI Embedded
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
Looker
8.4
Ratings
3% above category average
Microsoft Power BI Embedded
-
Ratings
Pixel Perfect reports
7.90 Ratings
00 Ratings
Customizable dashboards
8.90 Ratings
00 Ratings
Report Formatting Templates
8.30 Ratings
00 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
Looker
8.4
Ratings
4% above category average
Microsoft Power BI Embedded
-
Ratings
Drill-down analysis
8.10 Ratings
00 Ratings
Formatting capabilities
7.80 Ratings
00 Ratings
Integration with R or other statistical packages
8.70 Ratings
00 Ratings
Report sharing and collaboration
9.20 Ratings
00 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
Looker
8.8
Ratings
6% above category average
Microsoft Power BI Embedded
-
Ratings
Publish to Web
8.30 Ratings
00 Ratings
Publish to PDF
9.10 Ratings
00 Ratings
Report Versioning
8.60 Ratings
00 Ratings
Report Delivery Scheduling
9.10 Ratings
00 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
When you need to create a centralised dashboard for multiple stakeholders that blends cross-channel reporting. As an SEO agency reporting for clients - Looker is a great solution. It's less appropriate depending on the intended users. For instance, in my experience Looker reports have been under-utilised because they're not accessed regularly, provide too much noise or often simple PDF reports are preferred
The scenario where it shines more is in the treatment of data that is not easily correlated at first sight, it helps to find causes of unsuccess in productive environments. The only thing that is required is to have properly collected data to feed to Power BI, so it won't be useful in environments where the data is not collected with care, since the representations won't be representatives of the reality.
We are very haooy with Looker, it provides us with all the funciomalities we need for both the day to day oerformance tracking and longer periods reporting. It is easy to use for account managers, configurable and customizable for soecialists and what is most imoortant, our clinets generally really love it
Looker is relatively easy to use, even as it is set up. The customers for the front-end only have issues with the initial setup for looker ml creations. Other "looks" are relatively easy to set up, depending on the ETL and the data which is coming into Looker on a regular basis.
Somehow resources heavy, both on server and client. I recommned at least 50Mbs data rate and high performance desktop comouter to be abke to run comolex tasks and configure larger amount of data. On the other hand, the client does not need to worry when viewing, the performance is usually ok
Never had to work with support for issues. Any questions we had, they would respond promptly and clearly. The one-time setup was easy, by reading documentation. If the feature is not supported, they will add a feature request. In this case, LDAP support was requested over OKTA. They are looking into it.
In my opinion, Looker is no Power BI. It is good, but I think Power BI is amazing. That said, in my experience, Power BI is nowhere near as easy to setup and report on Google services as Looker is. We plan to continue using Power BI for c-suite and corporate reporting, especially for internal databases, but will gladly use Looker for our marketing information for AdWords, Analytics, Search Console, and YouTube.
Microsoft Power BI Embedded is already established as a de-facto standard as a business intelligence platform for the enterprise world. It comprises the best features to be delivered for the products being developed by providing a wide range of functionality. For instance, there are supported numerous graphic visualizations of data points such histograms, pie charts, heat maps and so on
Other than some people not liking the numbers, I don't see any negative impacts; we haven't experienced that.
The reports help us unravel the story of our users and how they are sifting through our pages.
Our clients enjoy seeing the numbers to understand better what stands out on their sites.
The reports have helped us see what campaigns are working and where we need to tweak things.
The reports have enabled us to have better conversations with stakeholders about how their web pages should be modified, edited, etc., to reflect the data.
Microsoft Power BI has had a positive impact on our business objectives by allowing everyone to better understand the data that is being presented. Some people can process numbers and charts easily, but interactive visualizations can aid visual learners and just makes the dashboard look a lot nicer with the ability to dive deeper into the numbers (through visualizations). Thus, engagement and understanding have improved.
One negative impact is that there is a rather steep learning curve since Microsoft Power BI's language (DAX/M) can be quite different from traditional Excel. Because of that, either you need to hire people who are specialized in Microsoft Power BI, or you need to account for the fact that they will need to be trained (or take time to learn it). Thus, there can be direct costs from hiring new people, or indirect costs through training/employee taking time to learn the software.
Another positive impact of Microsoft Power BI is that it got us thinking about how we can be better as an organization in terms of laying out our raw data, organizing data, conducting research into better metrics we can track and report on, etc. Because Microsoft Power BI made the presentation/visualization (+ regular updating/maintenance) part of our dashboard easier for us, we were able to start thinking about additional metrics and additional ways we can improve our reporting.