The underlying data is a Postgres sample DVD movie database from the. You can install the macOS version of Realm Object Server by downloading the zip. Although CDs and DVDs are a dying media in 2020 you can still easily burn a CD or DVD on Mac using iTunes. Whether you want to burn a CD to play in an old car stereo, burn an MP3 CD, burn photos to a CD on Mac or just burn some files onto DVD, it’s extremely simple to do using iTunes.

From PostgreSQL wiki

Many database systems provide sample databases with the product. A good intro to popular ones that includes discussion of samples available for other databases is Sample Databases for PostgreSQL and More (2006).

One trivial sample that PostgreSQL ships with is the Pgbench. This has the advantage of being built-in and supporting a scalable data generator.

Flycut has one main shortcut that you absolutely need to remember to make the most out of the app: Shift + Command + V. Copy and paste on Mac as much as you want and know that everything you store in the clipboard will be there when you need it later.

Sakila and Pagila

MySQL has a popular sample database named Sakila. Sakila has been ported to many databases including Postgres.

Pagila is a more idiomatic Postgres port of Sakila.

Other Samples

• PgFoundry has a collection of Postgres-compatible sample databases but it has not been updated since 2008.
• The land registry file from http://data.gov.uk has details of land sales in the UK, going back several decades, and is 3.5GB as of August 2016 (this applies only to the 'complete' file, 'pp-complete.csv'). No registration required.

• AdventureWorks 2014 for Postgres - Scripts to set up the OLTP part of the go-to database used in training classes and for sample apps on the Microsoft stack. The result is 68 tables containing HR, sales, product, and purchasing data organized across 5 schemas. It represents a fictitious bicycle parts wholesaler with a hierarchy of nearly 300 employees, 500 products, 20000 customers, and 31000 sales each having an average of 4 line items. So it's big enough to be interesting, but not unwieldy. In addition to being a well-rounded OLTP sample, it is also a good choice to demonstrate ETL into a data warehouse. The code in some of the views demonstrates effective techniques for querying XML data.
• Mouse Genome sample data set. See instructions. Custom format dump, 1.9GB compressed, but restored database is tens of GB in size. MGI is the international database resource for the laboratory mouse, providing integrated genetic, genomic, and biological data to facilitate the study of human health and disease. MGI use PostgreSQL in production [1], providing direct protocol access to researchers, so the custom format dump is not an afterthought. Apparently updated frequently.
• Benchmarking databases such as DBT-2 or TPC-H can be used as samples.
• Freebase - Various wiki style data on places/people/things - ~600MB compressed
• IMDB - the IMDB database - see also http://code.google.com/p/imbi/
• Data.gov - US federal government data collection, see also Sunlight Labs
• DBpedia - Wikipedia data export project
• eoddata - historic stock market data (requires registration - licence?)
• RITA - Airline On-Time Performance Data
• Openstreetmap - Openstreetmap source data
• NCBI - biological annotation from NCBI's ENTREZ system (updated daily)
• Airlines Demo Database (in Russian) - Airlines Demo Database provides database schema with several tables and meaningful content, which can be used for learning SQL and writing applications
• Stack Exchange Data Dump - Anonymized dump of all user-contributed content on the Stack Exchange network (Stack Overflow, Server Fault..) under cc-by-sa 3.0 license. Use this tool to import XML dumps in PostgresQL : https://github.com/Networks-Learning/stackexchange-dump-to-postgres
• The Museum of Modern Art (MoMA) collection data - This research dataset contains more than 130,000 records, representing all of the works that have been accessioned into MoMA’s collection and cataloged in our database. It includes basic metadata for each work, including title, artist, date made, medium, dimensions, and date acquired by the Museum. At this time, both datasets are available in CSV and JSON format, encoded in UTF-8.