1. Querying streaming data
2. Deleting individual rows. You delete data in bulk by overwriting an entire table
or partition, or by dropping a table
3. Indexing (not currently).
LZO-compressed text files can be indexed outside of Impala
4. Full text search on text fields
5. Custom Hive Serializer/Deserializer classes (SerDes). Impala supports a set
of common native file formats that have built-in SerDes in CDH
6. Checkpointing within a query. That is, Impala does not save intermediate results to
disk during long-running queries
7. Encryption of data transmitted between Impala daemons
8. Hive indexes
9. Non-Hadoop data stores, such as relational databases
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