Grafana vs. Mode Analytics

Grafana is a one stop solution for all application monitoring needs. In our organisation, we use nodeJs. We run it using pm2. Since we didn't use Grafana it was hard for us to know if an app has stopped working unless we find it ourselves because our other app components were failing, or someone called us up and told about the situation. We were already using Grafana for monitoring our Ubuntu servers, but we hadn't had set it up for our app monitoring. Somehow we decided to monitor our nodeJs app with Grafana. It's a really good decision we made. We used Grafana nodeJs module "prom-client" for our node app which brought us relief from app failing situations. Since we have implemented Grafana for our Node app, it has helped us to monitor every health aspect of our node app. Now we have set up alerts based on heap-memory, so when heap memory goes beyond a set threshold we get notified and take the right steps ultimately saving our app from crashing and of course from losing business and reputation.

Incentivized

Mode is a clear category winner for how it easy it is to go from interactive analysis to professional quality reporting. You can easily do all your SQL and quite a bit of R/Python. If you want to quickly go from your database to simple charts, this is your pick. If you need to do heavier data modeling, scheduling jobs, or ML, you'll need something else, like Databricks. In my opinion, the quality of visualizations and some developer/analyst features make Databricks an unacceptable substitute.

Incentivized

• It visualizes metrics very well coming from any well known data source.
• It sends alerts to collaboration channels when a threshold is breeched.
• Graphs and dashboards are portable (Graph-as-a-Code).

• It allows me to undertake data visualization tasks by creating really insightful charts and dashboards
• It allows for easy sharing and work collaboration on data analysis tasks
• Mode has an easier to use SQL editor as well
• I love how it organizes all our SQL data tables into easy-to-view data we can draw insights on

Incentivized

• Functions to customize values
• Improved user experience

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

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

Grafana has a direct plugin to Icinga monitoring solution and allowed for easy configuration for us. At the time of implementation, other services did not have such an integration. As we already had a very customized and heavily introduced monitoring solution in place, we needed settings that could plug into the system quickly and efficiently. This was the case with Grafana and allowed us to have all the integrations we needed with services such as Icinga

Incentivized

We used both Qlik and Mode at our organization. The mode was used a quick analysis SQL tool while Qlik was our enterprise BI solution.

Incentivized

• Helps us to keep our application and server up all time
• Dashboards are easy to share with others

Incentivized

• Extremely positive. It's a key feature in our application.
• Were it not for the account management bit, Mode would be hands-down our recommendation for anyone looking for cloud BI.

Incentivized