🥲TOP fails with different DBMSs: pain, tears

✅PostgreSQL and the vacuum of surprise
Everyone loves PostgreSQL until they encounter the autovacuum. If you forget to configure it correctly, the database starts to slow down so much that it's easier to migrate data to Excel.

✅Cassandra: master of sharding and chaos
Oh, this magical world of distributed data! As long as everything is running smoothly, Cassandra is cool. But when one node fails, clusters become a mystery with a surprise: what part of the data survived? And cross-DC replication in large networks is a lottery.

✅Firebase Realtime Database
Sounds cool: data synchronized in real time! But when you have tens of thousands of active users, everything becomes hell, because every little query costs a ton of money. And unmonitored updates affect all clients at once.

✅Redis as the main database
Easy, fast, everything in memory. Sounds cool until you realize that they forgot about the data recovery mechanism. Oops, the server crashed - data flew to nowhere.