The solution has been to just buy more nodes (if you don't want long repairs, store less than 1TB of data per node) and faster disks. Read Repair maintenance is probably the only thing I hate about Cassandra - and seeing benchmarks that Scylla does these operations on the order of minutes rather than hours is attractive enough for most people (I don't think most deploys are even coming close to the benchmarked txn/s in real-world workloads, for both databases). Both compaction and repair tend to be CPU intensive (both work by essentially reading a ton of data), so I'd imagine the move to C++ and the core-per-thread design is more efficient.
In short, the operational efficiency is far more attractive even if you aren't pushing a trillion writes/sec.
I've been thinking about testing Scylla for a while, but unfortunately they don't support the features we support, and while our Cassandra deployment is a rather comparatively large cost, there are enough things on my plate right now where trading my current set of evils for other unknown ones isn't very attractive.
See this post by Discord App - https://blog.discordapp.com/how-discord-stores-billions-of-m... - where they are mentioning moving to Scylla from Cassandra for similar reasons. Performance is fine, but repair efficiency is more of the driving factor.
I'd also add that Cassandra advertises itself as a relatively high performance database for distributed workloads. If something like a faster Cassandra doesn't entice you, chances are you'd be better served by something like Postgres anyways.