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.
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Qrvey
Score 8.5 out of 10
Mid-Size Companies (51-1,000 employees)
Qrvey headquartered in Tysons helps companies move their analytics beyond just visualizations and into the modern age with an all-in-one embedded analytics platform that was built on AWS to include the entire data pipeline. Qrvey includes tools for data collection, transformation, analysis, visualization, automation and machine learning.
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Pricing
Looker
Qrvey
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Looker
Qrvey
Free Trial
Yes
Yes
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.
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More Pricing Information
Community Pulse
Looker
Qrvey
Features
Looker
Qrvey
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
Looker
8.4
Ratings
3% above category average
Qrvey
-
Ratings
Pixel Perfect reports
8.00 Ratings
00 Ratings
Customizable dashboards
9.00 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
8.5
Ratings
5% above category average
Qrvey
-
Ratings
Drill-down analysis
8.10 Ratings
00 Ratings
Formatting capabilities
7.80 Ratings
00 Ratings
Integration with R or other statistical packages
8.80 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
Qrvey
-
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
For our use case, its hands down the ability to embed visualizations onto our platform. We have an intelligence platform that provides different types of insights that follow a specific user flow. We need a platform that could not only visualize our data but help automate our data processing workflows. Other analytics platforms that we have used in the past make it extremely difficult to do the same thing.
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.
Qrvey isn't just an analytics tool or a survey tool. It's a one-stop-shop for surveys, analytics, and automation. If you need all or most of this functionality, Qrvey can be a better solution than standing up three tools and getting them to work well together. Looking at just analytics, Qrvey is excellent for embedded analytics on AWS. If you need to put a chart or a chart/dashboard builder in your website or web app, Qrvey makes this process very straightforward.
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.