Get any moderately sized table (millions of rows and a dozen or more columns) on your 'highly-tuned' postgres database with all the proper indexes in place and load that same data into Didgets (takes a whole 10 minutes to download the software and start using it) and run whatever queries suits your fancy.
I actually tried to find the dataset you used yesterday to run my own benchmark, but the only official "Chicago crime database" I could find had only 300k rows and 19 columns, so I assumed it wasn't the same data you mention in your video.
https://data.cityofchicago.org/Public-Safety/Crimes-2001-to-...
Even though I replied to your post, it was more of a general observation than to you specifically. My video has been viewed over a thousand times. I get comments all the time that say it can't be real or that I must be handicapping the other databases (I also have a video comparing to SQLite) by not configuring them correctly.
I have yet to have a single person who claims to be a database expert try it out on their own favorite data set and tell me that they found Didgets to be slower than their preferred database engine.