How does Apache Impala differ from Hive in terms of data processing?
- Hive uses HBase for storage
- Hive uses in-memory processing
- Impala uses MapReduce
- Impala uses in-memory processing
Apache Impala differs from Hive in terms of data processing by utilizing in-memory processing. Impala is designed for low-latency SQL queries on Hadoop data, and it processes data in-memory, providing faster query performance compared to traditional Hive queries.
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