Apache Superset VS NewRelic

Apache Superset Reviews

NewRelic Reviews

Apache Superset mentions (52)

• Show HN: Open-source BI and analytics for engineers

  We are looking at moving our Power BI stuff to Apache Superset [1]. How does this compare to Superset? [1] https://superset.apache.org/. - Source: Hacker News / 1 day ago

• A modern data stack for startups

  Do you have any thoughts on Superset? Did you consider it as a candidate? For anyone who doesn't know: https://superset.apache.org/ (There's at least one service that offers managed Superset hosting if that's what you're looking for; it's easy to find so I won't link it here.). - Source: Hacker News / 5 months ago

• More public SQL-queryable databases?

  Recently I discovered BigQuery public datasets - just over 200 datasets available for directly querying via SQL. I think this is a great thing! I can connect these direct to an analytics platform (we use Apache Superset which uses Python SQLAlchemy under the hood) for example and just start dashboarding. Source: 10 months ago

• How useful is SQL for managers?

  If they don't want to pay for powerbi, can try something like https://superset.apache.org/. Source: 11 months ago

• Real-time data analytics with Apache Superset, Redpanda, and RisingWave

  In today's fast-paced data-driven world, organizations must analyze data in real-time to make timely and informed decisions. Real-time data analytics enables businesses to gain valuable insights, respond to real-time events, and stay ahead of the competition. Also, the analytics engine must be capable of running analytical queries and returning results in real-time. In this article, we will explore how you can... - Source: dev.to / 12 months ago

NewRelic mentions (81)

• Cleaning routines to keep your project without bugs

  *1. New Relic *— it’s a tool to check on the slow performance of your app. If any action of the user takes longer than usual, NewRelic will inform you about that. - Source: dev.to / 2 days ago

• Caching in depth

  Tip: You can use tools like DataDog, perf (Linux), New Relic etc. To monitor cache performance. - Source: dev.to / about 1 month ago

• How to Handle N+1 Queries for Optimal Database Performance in Django?

  Using APM tools like NewRelic, Sentry, Datadog, etc to monitor the performance of your application and while you're on it, they can help you identify N+1 queries. - Source: dev.to / about 2 months ago

• How to improve page load speed and response times: A comprehensive guide

  These tools track server and underlying infrastructure and backend performance. They monitor several metrics, like disk I/O, CPU and memory usage, network traffic, and more. Some examples of these tools include New Relic, Datadog, and AppDynamics. Web administrators can use them to see what's causing slow SRT, like high CPU usage or network traffic. Server-side monitoring tools also provide real-time alerts to... - Source: dev.to / 3 months ago

• Experience Continuous Integration with Jenkins | Ansible | Artifactory | SonarQube | PHP

  11 Application performance: Before we even perform a deployment, we should configure monitoring tools like Retrace, DataDog, New Relic, or AppDynamics to look for performance problems, hidden errors, and other issues. During and after the deployment, we should also look for any changes in overall application performance and establish some benchmarks to know when things deviate from the norm. - Source: dev.to / 3 months ago