Performance is extremely high, and they’ve recently added statistics and window based functions which make calculating trends on the fly all in SQL very easy to achieve. Their support team is very responsive and knowledgeable, and an absolute pleasure to work with. Quest has been very stable as well.

QuestDB fits our needs. We handle and analyze large datasets of cell growth data with measurements over time, often as CSV files. This time-series-based database fits our use case very well. By importing it into an SQL database, developers can quickly implement a convenient and known way to get statistics from selections made in the front end. We look forward to integrating streaming data from measurements into the database at a later point, but we are not there yet. We know that it is possible in this setup. Also, the Slack channel is friendly, and the direct contact with developers is excellent.

Our project have been using Solr as a statistics data storage for years. It was not a right decision because Solr is not good solution for realtime data processing. The best approach in our case is a time series database. Using such DB in embedded mode was another important requirement. There are a lot of competitors in this market, but QuestDB was the only one who offers embedded mode. So we gave a chance to QuestDB and never regreted. It`s great to see the rapid evolution of QuestDB. The developers team constantly introduces new features, improvements and bug fixes. Also want to note an excellent support. The ability to ask a question directly to developers and get answer in Slack channel is a really cool.