Hashboard (formerly Glean.io) was lightweight, business intelligence tool. It was acquired by Hex in 2025, and former users are encouraged to move to Hex.
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Looker
Score 8.5 out of 10
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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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Pricing
Hashboard (discontinued)
Looker
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Hashboard (discontinued)
Looker
Free Trial
No
Yes
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
Required
Additional Details
15% discount for yearly pricing.
Must contact sales team for pricing.
More Pricing Information
Community Pulse
Hashboard (discontinued)
Looker
Features
Hashboard (discontinued)
Looker
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
Hashboard (discontinued)
-
Ratings
Looker
8.4
Ratings
3% above category average
Pixel Perfect reports
00 Ratings
8.00 Ratings
Customizable dashboards
00 Ratings
9.00 Ratings
Report Formatting Templates
00 Ratings
8.30 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
Hashboard (discontinued)
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Ratings
Looker
8.5
Ratings
5% above category average
Drill-down analysis
00 Ratings
8.20 Ratings
Formatting capabilities
00 Ratings
7.80 Ratings
Integration with R or other statistical packages
00 Ratings
8.80 Ratings
Report sharing and collaboration
00 Ratings
9.20 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
Hashboard (discontinued)
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Ratings
Looker
8.8
Ratings
6% above category average
Publish to Web
00 Ratings
8.40 Ratings
Publish to PDF
00 Ratings
9.10 Ratings
Report Versioning
00 Ratings
8.60 Ratings
Report Delivery Scheduling
00 Ratings
9.20 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
For the scenario, we used Glean.io which we used the software to establish a database connection and build live dashboards on the data on this database. This was a very simple use case to explore the capabilities of the software. In this use case, it works very smoothly and well. Further, we looked into similar use cases using the data ops features to achieve data provisioning with code to have more control. This was a nice way to support data engineers for sure. I would say that - for our use cases - the UI-based set up does the job. It is nice to have more advanced options with data ops. But they are probably over the top for our use cases. I would say it is worth it though to explore and figure out which degree of control fits your use case best.
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
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.
Glean.io provided the customisable packages as per the user licences and data storage required. We are a growing organisation and this flexibility helped arrive at decision to use Glean.io The user onboarding is very easy with Glean.io. There were no extra resources required to integrate with our system and it was done in couple of days only.
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.
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.