Hashboard (discontinued) vs. Metabase

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.

Incentivized

Getting data using query with multiple joins is very fast with Metabase, and role-based access to the reports can be provided to users. The only place it lags right now is the filter for page and page size. This comes with great support for container-based deployment and on-system deployment, too. I did both container and system direct installation, and direct deployment became a bit challenging. On the other hand, it really provides very good support for data representation.

Incentivized

• 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

Incentivized

• Store Data
• Make Querying easy
• Quickly ingest data from many sources

Incentivized

• Querying has to be done by users only. There can be ways to automate querying using templates
• Not able to clearly check the query run time
• The customer support team can be little more proactive while communicating any changes and resolving any queries

Incentivized

• The layout could be more modern
• Would be great to have a drag and drop option to build dashboards

Incentivized

The tool serves as the purpose of what we were looking for. I am giving us eight because it is cumbersome and needs separate deployment on production; otherwise, it creates memory issues for small servers. Apart from this, this is an excellent tool, providing data features some analysts want. Its backend is heavy, but it works pretty smoothly on front-end users.

Incentivized

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.

Incentivized

It does not stack up against Metabase, they complete each other.

Incentivized

• Optimised the DB management team by 30%
• Reduce in data visualisation dashboards TAT by 50%
• Increase in revenues and savings by 20%

Incentivized

• Departmental Reporting - allows each department to measure and track KPIs
• Visibility - everyone has access to the data they need and context on the rest of the business' goals
• Churn - Helps to predict churn from our partners given their sales and forecasts

Incentivized