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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