What are the disadvantages of Apache Spark?

The main disadvantages of Apache Spark are that it consumes a lot of memory because it relies heavily on in-memory processing, which can cause issues on less powerful systems. It can also be difficult for beginners since you need to understand distributed computing. Spark isn’t very fast with small datasets, so simpler tools like Pandas or SQLite might be more suitable for small tasks.