What kind of applications is supported by Apache Hive?
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What kind of applications is supported by Apache Hive?
Hive supports all those client applications that are written in:
- Java.
- PHP.
- Python.
- C++
- Ruby.
What are the features of hive?
Apache Hive Features
| Features | Explanation |
|---|---|
| Supported Computing Engine | Hive supports MapReduce, Tez, and Spark computing engine. |
| Framework | Hive is a stable batch-processing framework built on top of the Hadoop Distributed File system and can work as a data warehouse. |
Is Apache Hive SQL?
Apache Hive is a distributed data warehouse system that provides SQL-like querying capabilities. SQL-like query engine designed for high volume data stores. Multiple file-formats are supported.
What database does hive use?
For single user metadata storage, Hive uses derby database and for multiple user Metadata or shared Metadata case Hive uses MYSQL.
What is difference between hive and SQL?
Hive gives an interface like SQL to query data stored in various databases and file systems that integrate with Hadoop….Difference between RDBMS and Hive:
| RDBMS | Hive |
|---|---|
| It uses SQL (Structured Query Language). | It uses HQL (Hive Query Language). |
| Schema is fixed in RDBMS. | Schema varies in it. |
What are the features and limitations of Hive?
Some of the limitations of Apache Hive are:
- Hive is not designed for the OLTP (Online transaction processing). We can use it for OLAP.
- It does not offer real-time queries.
- It provides limited subquery support.
- Latency of Hive is generally very high.
How does Apache Hive work?
How Does Apache Hive Work? In short, Apache Hive translates the input program written in the HiveQL (SQL-like) language to one or more Java MapReduce, Tez, or Spark jobs. Apache Hive then organizes the data into tables for the Hadoop Distributed File System HDFS) and runs the jobs on a cluster to produce an answer.
What is difference between Hive and SQL?