Amazon QuickSight vs. Mode Analytics

I'm likely to recommend it because it would become so native if other cloud services are based on AWS infrastructure, like our current setup. It is very seamlessly integrated with other services to feed in data for the visualization. In addition, supporting a reasonably large number of users concurrently is not an issue and should be able to scale horizontally as needed.

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

• Lightweight and serverless BI tool that can be used for niche dashboards.
• Its integration into other AWS Services is one of its most appealing features.
• The low monthly cost is another benefit.

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

• One of the primary challenges I've had with Amazon QuickSight so far is that some of the reports I want to build use data from different data sets. Instead of being able to put all of the information I want to see into one report.
• Some of our Amazon QuickSight reports only update every 24 hours. It would be great to see that data in real-time.
• I would remove the various time zones from Amazon QuickSight and only use the time zone we are in.

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

It is easy to use and set up no need to put in so much effort. Once build, the dashboard can be used with multiple clients with the same domain. It provides multiple connectivity options which makes it a versatile option for reporting.

Incentivized

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

Incentivized

They provide proper support when needed. They are always ready to provide the box solution and make things easier for users.

Incentivized

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

Incentivized

As per our requirement, the Amazon Eco System leads us to use the Amazon Quick Sight platform. It works well with Redshift datasources.

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

• Cost Effective
• Easy setup and maintenance

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