How can you store 86 billion measurement points in 30 gigabytes and search through it within a few milliseconds on your laptop? A relational database? No! Apache Solr empowers you to do this if you follow a few concepts. The horizontal scalability capabilities of Solr bores away the borders of your laptop and allows you easily to scale out to your needs.

In this session we give an introduction how to store time series data in Apache Solr. QAware has developed an Enterprise Application Performance Analysis Platform on top of Solr. Based on code examples you will see how easy multi-dimensional time series data can be stored and retrieved. We show how Solr features like Facets, Filters and Queries can be used to build graphical user interfaces with an outstanding performance and usability. We also compare this approach to other time series databases like InfluxDB and relational databases like MySQL.