Apache Hive and Apache Impala- What you should be knowing?

Apache Hive and Apache Impala-Pattem Digital

When we want to perform more data-intensive tasks, we leverage Hive. For tasks related to querying, processing, analysis and visualization, Hive is the go-to option. Introduced by Facebook, this data warehouse infrastructure has been built by the Hadoop platform. Hive is also known for its user versatility owing to its analysis of larger datasets that are stored in Hadoop’s HDFS as well as other compatible file systems such as Amazon S3. Offering an SQL kind of language (HIveQL) using schema, it can convert your queries to Apache Tez, MapReduce and Spark jobs. These are the best ever features in Hive:

• The accelerated processing can be indexed.
• Hive can support various storage kinds such as HBase, Plain Text, ORC and RCFile.
• It can also support queries similar to SQL with RDBMS’s Metadata storage.
• It consists of In-built User Defined Functions (UDFs) for manipulating dates and strings.

What do you mean by Impala?

Impala — Pattem Digital

What are the differences between Hive and Impala?

Difference between Hive and Impala — Pattem Digital

You have the query process set right in Impala

In Hive, you might face the problem of cold start. In Impala, you can avoid any kind of startup overhead since it is a native query language.

Complex type support

Hive supports Complex Types whereas Impala does not. With Hive, you get to manage more complicated tasks whereas Impala does not allow you to carry it out more smoothly. Hence it is always the best choice to go for Hive.

The Runtime process is going to differ

In Hive, you can generate more query expressions during your compile-time whereas, in Impala, you would need to generate various codes for “bigger loops”.

The usage factor differs as well

You need to know when you can use Hive and Impala. When you have Hive as your first-ever choice, you need to be using more up-gradation projects. In this case, compatibility issues are not going to pop up when you are using Hive. You can use Impala if your project is entirely fresh.

Summarising it

Both Hive and Impala have their own pros and cons. It’s better to talk to the best software consulting agency to understand more about that.

Got to build your first ever project with Apache Hive? We are here to guide you through the process. Let’s talk more about what your requirements are!