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Most startups that deal with large data processing eventually becomes a Java shop one day. Get over yourself with the whole language war.
by hello_moto 16y ago
Most startups that deal with large data processing eventually becomes a Java shop one day. Get over yourself with the whole language war.
- singular 16y agoSure, and any smart team of developers can get over language issues, but then again any smart team can get over pretty much any problem - it doesn't make the language irrelevant. For example, I could write a version of C where you have to type each line twice, once forwards and once backwards. You could get over it, but it wouldn't make it illegitimate to suppose that the language could be improved on and was making life difficult. You hear this argument a lot (on hn and elsewhere) and I for one call bullshit - language matters enormously, but if you don't get an ideal language, you can work around it, yes. It doesn't take away from the fact that language matters.
- eneveu 16y ago(disclaimer: I'm currently a Java web developer) If startups choose Java for performance reasons, which I believe was your point, couldn't they instead focus on alternative JVM languages, such as Clojure / Scala? With these languages, you get the best of both worlds. You can use a more "powerful" language, while keeping the benefits of the JVM (performance, portability, tooling). And you can very easily use Java libraries (Lucene, Hadoop...) if needed. Jython and JRuby also look interesting. And JDK7 will bring invokedynamic (JVM instruction to better support dynamically typed languages).
- hello_moto 16y agoStart-ups use non-Java for their main apps. But the other "infrastructure" stuffs that they developed after 5 years of existence usually required Java somewhere. Hadoop, HBase, Hive Cassandra, JMS are all Java solutions. Maybe it's for performance, maybe just because Java has more libraries for that particular domain. Google (pre-dominantly Java), Amazon (Java shop), ITA (they also use Java EE to my knowledge), Facebook (HBase, Hadoop, Hive, and maybe even haystack?), Zynga, Flickr (small part of back-end), Twitter (back-end stuffs), LinkedIN (Java shop), Last.FM (back-end stuffs), PowerSet (they came up with Hadoop)? I don't know why Twitter uses Scala for some part of their systems when eventually they need to write some Java code (and probably make that Scala code talk to Java infrastructure). If you're not writing bajjilion code for that particular portion of your systems, I don't see why you need to have both. Just pick one. Perhaps they have other reasons (personal or not).