Which connectors does Hive support as well as integration with external systems?

Hive supports a variety of connectors and integrations, including but not not limited to the following:

1. JDBC/ODBC connector: Hive allows various relational databases and BI tools to be connected using standard JDBC and ODBC protocols.
2. Hive-HBase connector: Integrates Hive with HBase, enabling users to query data stored in HBase.
3. Hive-Spark connector: Hive can be integrated with Apache Spark, allowing users to execute Hive queries through Spark.
4. Hive-Kafka connector: Hive can integrate with Apache Kafka to achieve real-time data processing and querying.
5. Hive-HDFS connector: Hive can seamlessly integrate with the Hadoop ecosystem by directly querying data stored in HDFS.
6. Hive-Hue connector: Hive can be integrated with Hue, which is an open-source web interface that makes it easy to manage and query Hive databases.
7. Hive-Impala connector: Hive can be integrated with Impala, which is a high-performance SQL query engine that can quickly query Hive data.

Generally speaking, Hive supports integration with various external systems, allowing users to easily query and analyze data from multiple sources.