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This just reads like marketing speak. What are the disadvantages of RethinkDB?

• coffeemug 14y ago
  http://www.rethinkdb.com/docs/faq/#when-is-rethinkdb-not-a-good-choice http://www.rethinkdb.com/docs/faq/#when-is-rethinkdb-not-a-g... http://www.rethinkdb.com/docs/advanced-faq/#is-rethinkdb-immediately-or-eventually-consis http://www.rethinkdb.com/docs/advanced-faq/#is-rethinkdb-imm...
  • bcbrown 14y ago
    You mention comparing against Hadoop for computationally-intensive data analysis. Would Rethink be suitable for a several-terabyte dataset with non-computationally-intensive analytics? Currently we're using Hive and Python over streaming Hadoop. There's no significant ongoing data accumulation; we're just analyzing the data we have.
    • coffeemug 14y ago
      We haven't tested on workloads like that, but I can't think of anything that would prevent this workload from working well. The idea behind Rethink's architecture is to eventually allow people to run full analytics on the same cluster as their live app. Currently we're optimizing for online-type queries, but you can run analytics queries too, it's just that we haven't given the optimizer enough love on that front yet.
• alexpopescu 14y ago
  personal != marketing P(biased|personal) -> 1