I’ve only written a “hello, world” in Scala a long time ago, but it seems to be used a lot in the banking or fintech industry mostly. Is there a reason for this?
Seconding what the below poster says. Spark and akka. Akka streams, specifically, was the only real distributed streaming system for a very long time. Which is very, very nice for low latency. Even now it’s tough to beat.
It got this foothold pre-spark, largely due to the akka and typesafe/lightbend ecosystem. Then spark resulted in a lot of data engineers picking up scala (this was my entrance, from the Hadoop map/reduce world). And now cats/zio and effect systems have rounded it out.
Personally I love scala, my teams use it heavily (mix of styles but mostly zio-http, and a lot of spark). But scala3/dotty has been problematic enough for us that we decreed people stop updating their apps. The learning curve is HIGH (esp for functional/effect system scala). The candidate pool is small. I don’t know that if I were to start a greenfield project (without all the rest of the platform already using it) I would suggest we use scala. But the rest of our platform does, and we have tooling, and L&D tracks, etc. So onwards we go.
The learning curve is an interesting one. We’ve had new devs contribute within a sprint from zero knowledge. When they are contributing to an established platform.
Once they start looking beyond the walled garden things get complex. Scala supports a lot of variety in approaches. Which do they choose? Which is ”better"? Those questions can be hard to answer.
For me the variety of choice is great. For a new dev… Not so much.
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I’ve only written a “hello, world” in Scala a long time ago, but it seems to be used a lot in the banking or fintech industry mostly. Is there a reason for this?
Seconding what the below poster says. Spark and akka. Akka streams, specifically, was the only real distributed streaming system for a very long time. Which is very, very nice for low latency. Even now it’s tough to beat.
It got this foothold pre-spark, largely due to the akka and typesafe/lightbend ecosystem. Then spark resulted in a lot of data engineers picking up scala (this was my entrance, from the Hadoop map/reduce world). And now cats/zio and effect systems have rounded it out.
Personally I love scala, my teams use it heavily (mix of styles but mostly zio-http, and a lot of spark). But scala3/dotty has been problematic enough for us that we decreed people stop updating their apps. The learning curve is HIGH (esp for functional/effect system scala). The candidate pool is small. I don’t know that if I were to start a greenfield project (without all the rest of the platform already using it) I would suggest we use scala. But the rest of our platform does, and we have tooling, and L&D tracks, etc. So onwards we go.
The learning curve is an interesting one. We’ve had new devs contribute within a sprint from zero knowledge. When they are contributing to an established platform.
Once they start looking beyond the walled garden things get complex. Scala supports a lot of variety in approaches. Which do they choose? Which is ”better"? Those questions can be hard to answer.
For me the variety of choice is great. For a new dev… Not so much.
C++ has the same issue, and that doesn’t stop everyone from using it.