question Re: What is Impala alternative in HDP? in Support Questions

What is Impala alternative in HDP?

ankitjindal_se — Tue, 18 Oct 2016 20:44:33 GMT

We have one product which runs on CDH and uses Impala in on of its module. I need to know what are alternatives of Impala in HDP. Also ,we need to connect to Pentaho using that.

Ankit

Re: What is Impala alternative in HDP?

lfigueroa — Tue, 18 Oct 2016 20:46:26 GMT

Hive with LLAP - Please check out this recent post: http://hortonworks.com/blog/apache-hive-vs-apache-impala-query-performance-comparison/

- Luis

Re: What is Impala alternative in HDP?

sunile_manjee — Tue, 18 Oct 2016 20:54:06 GMT

@Ankit Jindal LLAP which comes with HDP 2.5. Or Apache HAWQ, which is also known as HDB. Both are fast sql engines and faster then impala. Both run on yarn. LLAP has terabyte scale. HDB is virtually limitless by adding nodes based on your usage. Lastly for known query patterns or access patterns, apache phoenix should be considered. Using primary row key along with secondary index is simply fast. Here is article on how to use phoenix secondary indexes. https://community.hortonworks.com/content/kbentry/61705/art-of-phoenix-secondary-indexes.html

Re: What is Impala alternative in HDP?

ljain — Thu, 20 Oct 2016 02:31:30 GMT

http://hortonworks.com/apache/hawq/

Re: What is Impala alternative in HDP?

TimothySpann — Thu, 20 Oct 2016 03:00:27 GMT

Apache Phoenix

https://phoenix.apache.org/faq.html

SparkSQL is probably what you are looking for.

http://spark.apache.org/sql/

Hortonworks is 100% open source apache.

It can run Apache Impala, Apache Drill, Hive LLAP, Phoenix, Apache HAWQ, SparkSQL, Presto.

Re: What is Impala alternative in HDP?

agauthier — Tue, 25 Oct 2016 05:02:57 GMT

Good point Tim.

Each "SQL on Hadoop" implementation obviously has pros and cons... general rule of thumbs:

SparkSQL --> good for iterative processing, access existing Hive tables, given results fits in memory
HAWQ --> good for "traditional" BI-like queries, star schemas, cubes OLAP
HIVE-LLAP --> good for petabyte scale mixed with smaller tables requiring sub-second queries.
Phoenix --> A good way to interact with HBase tables, good with time series, good indexing
Drill, Presto --> Query federation-like capabilities but limited SQL syntax. Performance varies quite a bit.

Re: What is Impala alternative in HDP?

agauthier — Tue, 25 Oct 2016 05:03:01 GMT

Good point Tim.

Each "SQL on Hadoop" implementation obviously has pros and cons... general rule of thumbs:

SparkSQL --> good for iterative processing, access existing Hive tables, given results fits in memory
HAWQ --> good for "traditional" BI-like queries, star schemas, cubes OLAP
HIVE-LLAP --> good for petabyte scale mixed with smaller tables requiring sub-second queries.
Phoenix --> A good way to interact with HBase tables, good with time series, good indexing
Drill, Presto --> Query federation-like capabilities but limited SQL syntax. Performance varies quite a bit.