Quick Answer: Is Hive A NoSQL Database?

Is hive a database?

No, we cannot call Apache Hive a relational database, as it is a data warehouse which is built on top of Apache Hadoop for providing data summarization, query and, analysis.

For processing, Hive provides a SQL-like interface to query data stored in various databases and file systems that integrate with Hadoop..

Is Hadoop a NoSQL database?

Hadoop is not a type of database, but rather a software ecosystem that allows for massively parallel computing. It is an enabler of certain types NoSQL distributed databases (such as HBase), which can allow for data to be spread across thousands of servers with little reduction in performance.

Can hive access data outside of HDFS?

We can create external and internal table in Hive. As external tables can be in HDFS or any other file system, Hive doesnt store data for such tables in warehouse.

Does hive require Hadoop?

1 Answer. Hive provided JDBC driver to query hive like JDBC, however if you are planning to run Hive queries on production system, you need Hadoop infrastructure to be available. Hive queries eventually converts into map-reduce jobs and HDFS is used as data storage for Hive tables.

Is NoSQL faster than MySQL?

Is NoSQL Faster Than SQL. Cameron Purdy, a former Oracle executive and a Java evangelist explains what made NoSQL type database fast compared to relational SQL based databases. According to Purdy, for ad hoc queries, joins, updates, relational databases tend to be faster than “NoSQL type databases” for most use cases.

Is hive similar to SQL?

HiveQL is a query language for Hive to analyze and process structured data in a Meta-store. It is very much similar to SQL and highly scalable. It reuses familiar concepts from the relational database world, such as tables, rows, columns and schema, to ease learning.

Is hive a data warehouse?

Hive is a data warehouse framework that overlays a data infrastructure on top of Hadoop so that data can be queried using a SQL-like language. … Hadoop stores the data. Hive uses a SQL dialect, called Hive query language (HQL or HiveQL), to perform queries, summaries, and analysis of the stored data.

Can hive be used for unstructured data?

Processing Un Structured Data Using Hive So there you have it, Hive can be used to effectively process unstructured data. For the more complex processing needs you may revert to writing some custom UDF’s instead. There are many benefits to using higher level of abstraction than writing low level Map Reduce code.

Is JSON a NoSQL?

JSON is mostly applied to programming languages. But, there is also NoSQL systems. NoSQL systems use JSON format to store data. Some of the NoSQL systems use JSON format are – MongoDB, CoucheDB etc.

What is the difference between hive and spark?

Hive and Spark are different products built for different purposes in the big data space. Hive is a distributed database, and Spark is a framework for data analytics.

Is neo4j a NoSQL database?

Neo4j is the world’s leading open source Graph Database which is developed using Java technology. It is highly scalable and schema free (NoSQL).

Does Hive store data?

Hive stores data inside /hive/warehouse folder on HDFS if not specified any other folder using LOCATION tag while creation. It is stored in various formats (text,rc,csv,orc etc). Accessing Hive files (data inside tables) through PIG: This can be done even without using HCatalog.

What are examples of NoSQL databases?

MongoDB, CouchDB, CouchBase, Cassandra, HBase, Redis, Riak, Neo4J are the popular NoSQL databases. MongoDB, CouchDB, CouchBase are document-oriented NoSQL databases, Redis and Riak are key-value stores, Cassandra and HBase are column family stores and Neo4J is a graph database.

Is MySQL a NoSQL database?

Some examples of SQL databases include MySQL, Oracle, PostgreSQL, and Microsoft SQL Server. NoSQL database examples include MongoDB, BigTable, Redis, RavenDB Cassandra, HBase, Neo4j and CouchDB.

Does hive use SQL?

Apache Hive is a data warehouse software project built on top of Apache Hadoop for providing data query and analysis. Hive gives an SQL-like interface to query data stored in various databases and file systems that integrate with Hadoop.