Apache impala (incubating) is an Apache incubator project. it is a native analytic database for Apache Hadoop, its planning target at a high quality, high performance and low latency analytics queries to be done on data stored in Apache Hadoop file. Impala is a massively distributed C++ and Java querying engine which allows analysis, transformation and combination of data from various sources. It makes use of all file format, data format and metadata, resource management used by Apache Hadoop deployment.
Impala also integrates with Apache Hive database to share database and database tables with both components. Impala aims at creating more opportunities for both SQL queries and BI application users to interact with more data through the same repository and metadata store from source through analysis. Impala provides a high performance SQL engine that makes way for fast access to that stored in Apache Hadoop file system. Unlike other traditional analytics database, impala combines SQL support and multi user performance with the flexibility and scalability of Hadoop, it does this by using HBase, Matastore, HDFS, and YARN which are standard components. Impala architecture implements a distributed architecture based on Daemon process, this is responsible for all its query execution that runs on the same machines.
Apache impala grants you the opportunity to access data stored in CDH without having Java skills, and allows you to integrate existing CDH ecosystem. When it comes to speed of return of result impala gives you a better speed compared to the time required by Hive queries. Some of features of impala include fast access to data in HDFS, storage of data in HDFS systems, integration with business intelligent tools, support for various file formats, and support for in-memory data processing.
The advantage of using impala include:
+ Ability to process data stored in HDFS,
+ No data transformation is required,
+ No data movement is required for data stored.
It is also important to note that impala does not support serialization and deserialization, it can only read text file, and the table must be refreshed whenever new data is added.
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