Grafana vs. Mode Analytics

Just about any organization with more than one server and more than one cluster as it scales very well. Configuration of the application takes time and finesse to fine tune to where the balance of load time and getting data quickly meets. The plugins add load time but fine tuning for the application to meet demand needs nailed down at implementation

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

• Alerting through many different medium as Slack, Email, Webhook etc
• Beautiful and unlimited number of dashboards to view your metrics and tweak them as you please
• Log aggregation and powerful Logql to filter and view your logs
• Microservices monitoring
• Large number of plugins and data sources to collect your metrics from almost anywhere

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

• Documentation needs to be more clarified since it can be confusing for beginners
• Notification alert message templates need to be simplified

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

Great usage in terms of monitoring of any application from backend to frontend and even any AWS resource via cloud watch and other connectors. Easy to use and configure personalised dash boarding and alerting features. Cost efficient and easy to setup and run, no mazor scaling challenges in terms of managing and maintaining the stack, easy to configure via Prometheus, influx and other connectors

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 is more flexible, readily adopts other tools frameworks instead of forcing you to use their agent, doesn't force you into Vendor lock-in, and embraces open source, self-hosted, and Enterprise. Similar companies would like you to use their specific tooling and don't offer nearly as much flexibility. The other thing I like about Grafana is their storage usage is much lower compared to similar tools and competitors

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

• It has kicked out some of our paid monitoring and visualization tools.
• Now Monitoring, Visualization and Alerting is being done in a single platform.
• It made monitoring and visualization very easy for us.

• 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