Metabase vs. Mode Analytics

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

After launching a new contact pathway in a help experience, Mode Analytics can help provide insight into the sentiments from users as well as the engagement with any written content. Numeric outputs are easier to manage, whereas more nuanced/emotional feedback is sometimes hard to quantify (though not impossible if you get creative).

Incentivized

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

Incentivized

• Easy to use (click a button and get right to SQL).
• Security First (everything is locked down by default).
• The White Label feature is super easy to skin -- our embedded reports look just like our app!

Incentivized

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

Incentivized

• Date ranges aren't always the most intuitive to set, strangely
• Faster refresh rates would be ideal
• Would love more dynamic mobile device integration (alerts, etc)

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

For the advanced user already familiar with Python. It is just the same tool, already managed and connected to the data.

Incentivized

Mode has dedicated agents who are online in a chatroom, ready to take on any questions and provide helpful feedback.

Incentivized

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

Incentivized

• Tableau is a huge pain to edit or create dashboards, by comparison. It can make better looking visualizations, but in practice, letting users drill down and change dimensions slows the end user experience so much that it's often not worth it.
• Looker is amazing for data modeling, but you have to get your whole business all in on it to take advantage. Viz capabilities are similar.
• Databricks has a lot of functionality overlap, but the visualizations are terrible. Databricks' great strength is that you can use notebooks to do anything with code.

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

• It has allowed us to monitor ongoing financial transactions written to our SQL data tables in real-time and that helps us to monitor user transaction activities in real-time
• Using Mode we have been able to also track users who undertake fraudulent financial transactions; preventing financial losses to our users
• Mode's collaborative abilities have been very helpful in sharing transaction monitoring workload across our compliance and cybersecurity team

Incentivized