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Lightweight Alternative to Quickly Create Value for Business Users
December 09, 2022

Lightweight Alternative to Quickly Create Value for Business Users

Anonymous | TrustRadius Reviewer
Score 7 out of 10
Vetted Review
Verified User

Overall Satisfaction with Glean.io

We used Glean.io for some time to explore its potential. We used Glean.io to gain insights from the huge data sets we had to handle. Glean.io was a nice way to easily visualize some of our data. Creating a model is very easy and it is nice that data can be derived from database connections directly. Further, it was nice that the data connection could be manipulated and performed with SQL. One very interesting feature we explored as well as Data Ops.
  • Workflow is easy and clear due to clean and state of the art interface
  • Model creation is easy
  • Possibility for custom SQL code for database connection is very helpful
  • Nothing in particular
  • Businesses had direct insight into the data as well - faster insights and less repetitive efforts for the data team.
  • More up-to-date insight. Dashboards are grounded on live data, so businesses get the current data always.
  • Business became more confident to look and interact with data by themselves.
For simple use cases, Glean.io is a lightweight alternative to SAP Analytics Cloud. Provisioning, testing, and documentation are easier and less intimidating in the Glean.io case. Thus, it is easy to explore without firing up the sales machinery of the big corporates. Thus, the process of looking into and testing it out was way more convenient. Further, the data ops features were new to use and seem to be unique with Glean.io.

Do you think Hashboard delivers good value for the price?

Not sure

Are you happy with Hashboard's feature set?

Yes

Did Hashboard live up to sales and marketing promises?

Yes

Did implementation of Hashboard go as expected?

Yes

Would you buy Hashboard again?

Yes

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.