bipp is a modern business intelligence platform that lets you explore billions of records in real-time based on trusted data models. Our enterprise-grade, in-database, cloud BI platform was developed to save data and BI analysts’ time and develop insights faster. It leverages SQL and is powered by the bippLang data modeling language, which supports collaboration, git-based version control, and re-usable data models.
Business users can use bipp to build and explore ad hoc reports on their own. They can slice and dice data and create visualizations, with updates reflected in real-time. Insights can then be easily shared across their organizations.
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Based on our record, Grafana seems to be a lot more popular than bipp Analytics. While we know about 197 links to Grafana, we've tracked only 4 mentions of bipp Analytics. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
You can take any DBMS and use its SQL docs, I recommend PostgreSQL SQL docs which [i guess] is the 9th chapter of PostgreSQL docs. You can also do a SQL course at bipp.io. Source: over 2 years ago
You can try this type of chart - https://bipp.io/img/home/Designed-for-SQL-Analysts-from-the-ground-up.png (see also the description of a free BI tool where it was implemented - https://bipp.io ). Source: about 3 years ago
To build such a dashboard, you can also use Bipp Analytics as a more affordable Looker alternative - the entire platform and its bippLang data modeling language are very similar to Looker and LookML - here is how such a dashboard looks like in it: https://bipp.io/img/home/Designed-for-SQL-Analysts-from-the-ground-up.png. Source: about 3 years ago
We at bipp.io have been internally debating about open sourcing our platform for quite a while. Source: about 3 years ago
Monitoring application logs is a crucial aspect of the software development and deployment lifecycle. In this post, we'll delve into the process of observing logs generated by Docker container applications operating within HashiCorp Nomad. With the aid of Grafana, Vector, and Loki, we'll explore effective strategies for log analysis and visualization, enhancing visibility and troubleshooting capabilities within... - Source: dev.to / about 2 months ago
To help us visualize these scenarios, we'll build a Grafana Dashboard so we can follow along. - Source: dev.to / about 1 month ago
Visualization and Analysis: Choose a tool with intuitive and customizable dashboards, charts, and visualizations. A question to ask is, "Are the visualization features of this tool user-friendly and adaptable to our team's specific needs?" Tools like Grafana and Kibana provide powerful visualization capabilities. - Source: dev.to / about 1 month ago
Prometheus: Open-source monitoring system. Often used together with Grafana. - Source: dev.to / 2 months ago
In example above, we use 2 additional parameters: code (HTTP response code) and page (page identifier), which provide detailed statistics. For example, you can build such graphs in Grafana:. - Source: dev.to / 3 months ago
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