Spark is great for working with really large amounts of data. It can handle both batch jobs and streaming data, and it works with different file types and data sources. It’s much faster than older systems because it can process data in memory.

I also like that it has built-in tools for data queries, streaming, and even machine learning, so you can do a lot without switching platforms. Review collected by and hosted on G2.com.

Spark is not as “easy” as people think. If it’s not set up or tuned properly, it can run slowly or cost a lot to operate. One small mistake in how you write or run a job can slow everything down.

Debugging issues can take time, and streaming isn’t truly real-time. it still works in small batches. Also, it can be tricky to match the right Spark version with other tools in your setup. Review collected by and hosted on G2.com.