At QuestDB we are all about performance. To showcase querying capabilities of the database we have been running a live demo of historical taxi rides in NYC with 1.6 billion rows  and a geospatial dataset that contains the locations of 250k unique ships  moving over time. You can analyze this dataset with SQL on our live instance and see how fast each query is processed. Today, we introduce a new dataset on the same demo instance: crypto market data ingested in real-time from the Coinbase Exchange. For ingestion, we use a convenient Python library Cryptofeed, a cryptocurrency exchange feed handler that supports QuestDB. And for visualization, we use Grafana to create interactive live charts, which refresh every 5 seconds.