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It enables querying and analyzing large amounts of data stored in HDFS, on the petabyte scale. It has a query language called HQL that transforms SQL queries into MapReduce jobs that run on Hadoop, and it is wonderful for the devs team that love it.
- ACES (Automated Compliance and Evaluation System) Web Audit Technology, APARAVI and data intelligence & automation platform
- Faster response time and also can handle complex analytical queries
- Can able to write custom function using python and hive
- Able to connect using hadoop components and also using R
- Can handle different data formats
- Can use Structured Query language to access the data
For storing bulk amount of data in a tabular manner, and where there's no need need of primary key, or just in case, if redundant data is received, it will not cause a problem. For small amounts of data, it does run MR, so beware. If your intention is to use it as a transactional records, then do not go with it. Explore other tools like Spark also as many of the features that Hive does is now supported by Spark.