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From Mich Talebzadeh <>
Subject Hive and Impala
Date Tue, 01 Mar 2016 11:33:10 GMT
I have not heard of Impala anymore. I saw an article in LinkedIn titled

"Apache Hive Or Cloudera Impala? What is Best for me?"

"We can access all objects from Hive data warehouse with HiveQL which
leverages the map-reduce architecture in background for data retrieval and
transformation and this results in latency."

My response was

This statement is no longer valid as you have choices of three engines now
with MR, Spark and Tez. I have not used Impala myself as I don't think
there is a need for it with Hive on Spark or Spark using Hive metastore
providing whatever needed. Hive is for Data Warehouse and provides what is
says on the tin. Please also bear in mind that Hive offers ORC storage
files that provide store Index capabilities further optimizing the queries
with additional stats at file, stripe and row group levels.

Anyway the question is with Hive on Spark or Spark using Hive metastore
what we cannot achieve that we can achieve with Impala?

Dr Mich Talebzadeh

LinkedIn *

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