Use Cases

To get the most out of your data conversations, we've compiled a list of our top 10 tips. Get connected, try them out, and let us know if you find any new techniques!

Your GitHub data has countless insights waiting to be discovered. Learn how you can build your own GitHub analytics dashboard in minutes with Rill.

Neil Buesing crafted four hands-on examples of common Druid roll-up scenarios: roll-up comparison, Kafka ingestion, DataSketches, and custom time granularities.

For pipeline management of critical applications, consider the lifecycle of your data. Use this conceptual framework to identify potential issues as early in the lifecycle as possible.

Monitoring the health of data pipelines and the underlying infrastructure-supporting applications and dashboards is mission critical for operational analytics. Learn how to set up our observability architecture using Apache Airflow integrated with Opsgenie and Slack.

A list of articles, customer stories, and reference architectures that best helped our team get up to speed learning about Apache Druid...

Apache Druid is purpose built to generate high performance at low cost on a set of use cases that are becoming increasingly common: Operational Analytics. We've assembled the "Apache Druid Optimal Characteristics Checklist" to make it easy to understand the costs and benefits of using Druid for your use case.