I'm not sure how you think a distributed data processing technology would "fake-out" other companies when building/choosing database technology. They are totally different problem sets.
MapReduce does not have a set in stone data source/sink and can use multiple things like bigtable and spanner so they are complementary technologies.
I think the parent commenter might be referring to systems like Hive or HBase built on top of Hadoop and do have a lot of overlap with a large scale database system.
Exactly, thanks. "MapReduce paradigm" wasn't precise, and I can see why that makes everyone want to give a distributed systems 101 lecture in this comment thread :)
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I'm not sure how you think a distributed data processing technology would "fake-out" other companies when building/choosing database technology. They are totally different problem sets.
MapReduce does not have a set in stone data source/sink and can use multiple things like bigtable and spanner so they are complementary technologies.
I think the parent commenter might be referring to systems like Hive or HBase built on top of Hadoop and do have a lot of overlap with a large scale database system.
Exactly, thanks. "MapReduce paradigm" wasn't precise, and I can see why that makes everyone want to give a distributed systems 101 lecture in this comment thread :)
HBase isn’t really related to MapReduce though, more akin to BigTable.