io/], etc, to query massive datasets distributed over fleets of machines from heterogeneous data sources. The Kyuubi Server lane of the below swimlane divides our prospective users into end users and administrators familiar SQL for various workloads. Extensive and secure data access capability across diverse data sources. High performance on large volumes of data with scalable computing resources. Besides, Kyuubi also Interacting with Different Versions of Hive Metastore [https://spark.apache.org/docs/latest/sql-data-sources-hive-tables.html#interacting-with- different-versions-of-hive-metastore]. Further Readings Hive

Trino, etc, to query massive datasets distributed over fleets of machines from heteroge- neous data sources. The Kyuubi Server lane of the below swimlane divides our prospective users into end users and administrators familiar SQL for various workloads. • Extensive and secure data access capability across diverse data sources. • High performance on large volumes of data with scalable computing resources. Besides, Kyuubi Kyuubi Spark SQL Query Engine uses Spark DataSource APIs(V1/V2) to access data from different data sources. By default, it provides accessibility to hive warehouses with various file formats supported, such

manager, including YARN, Kubernetes, Mesos, e.t.c… Or, you can manipulate data from different data sources with the Spark Datasource API, e.g. Delta Lake, Apache Hudi, Apache Iceberg, Apache Kudu and e.t Interacting with Different Versions of Hive Metastore [http://spark.apache.org/docs/latest/sql-data-sources-hive-tables.html#interacting-with-different-versions-of-hive-metastore] 3.6. Further Readings Hive html#custom- hadoophive-configuration] Hive Tables [http://spark.apache.org/docs/latest/sql-data-sources-hive-tables.html] 4. Kyuubi High Availability Guide As an enterprise-class ad-hoc SQL query service

manager, including YARN, Kubernetes, Mesos, e.t.c… Or, you can manipulate data from different data sources with the Spark Datasource API, e.g. Delta Lake, Apache Hudi, Apache Iceberg, Apache Kudu and e.t Interacting with Different Versions of Hive Metastore [http://spark.apache.org/docs/latest/sql-data-sources-hive-tables.html#interacting-with-different-versions-of-hive-metastore] 3.6. Further Readings Hive html#custom- hadoophive-configuration] Hive Tables [http://spark.apache.org/docs/latest/sql-data-sources-hive-tables.html] 4. Kyuubi High Availability Guide As an enterprise-class ad-hoc SQL query service

io/], etc, to query massive datasets distributed over fleets of machines from heterogeneous data sources. The Kyuubi Server lane of the below swimlane divides our prospective users into end users and administrators familiar SQL for various workloads. Extensive and secure data access capability across diverse data sources. High performance on large volumes of data with scalable computing resources. Besides, Kyuubi also Interacting with Different Versions of Hive Metastore [https://spark.apache.org/docs/latest/sql-data-sources-hive-tables.html#interacting-with- different-versions-of-hive-metastore]. Further Readings Hive

io/], etc, to query massive datasets distributed over fleets of machines from heterogeneous data sources. The Kyuubi Server lane of the below swimlane divides our prospective users into end users and administrators familiar SQL for various workloads. Extensive and secure data access capability across diverse data sources. High performance on large volumes of data with scalable computing resources. Besides, Kyuubi also Interacting with Different Versions of Hive Metastore [https://spark.apache.org/docs/latest/sql-data-sources-hive-tables.html#interacting-with- different-versions-of-hive-metastore]. Further Readings Hive

io/], etc, to query massive datasets distributed over fleets of machines from heterogeneous data sources. The Kyuubi Server lane of the below swimlane divides our prospective users into end users and administrators familiar SQL for various workloads. Extensive and secure data access capability across diverse data sources. High performance on large volumes of data with scalable computing resources. Besides, Kyuubi also Interacting with Different Versions of Hive Metastore [https://spark.apache.org/docs/latest/sql-data-sources-hive-tables.html#interacting-with- different-versions-of-hive-metastore]. Further Readings Hive

Trino, etc, to query massive datasets distributed over fleets of machines from heteroge- neous data sources. The Kyuubi Server lane of the below swimlane divides our prospective users into end users and administrators familiar SQL for various workloads. • Extensive and secure data access capability across diverse data sources. • High performance on large volumes of data with scalable computing resources. Besides, Kyuubi Kyuubi Spark SQL Query Engine uses Spark DataSource APIs(V1/V2) to access data from different data sources. By default, it provides accessibility to hive warehouses with various file formats supported, such

Trino, etc, to query massive datasets distributed over fleets of machines from heteroge- neous data sources. The Kyuubi Server lane of the below swimlane divides our prospective users into end users and administrators familiar SQL for various workloads. • Extensive and secure data access capability across diverse data sources. • High performance on large volumes of data with scalable computing resources. Besides, Kyuubi Kyuubi Spark SQL Query Engine uses Spark DataSource APIs(V1/V2) to access data from different data sources. By default, it provides accessibility to hive warehouses with various file formats supported, such

Trino, etc, to query massive datasets distributed over fleets of machines from heteroge- neous data sources. The Kyuubi Server lane of the below swimlane divides our prospective users into end users and administrators familiar SQL for various workloads. • Extensive and secure data access capability across diverse data sources. • High performance on large volumes of data with scalable computing resources. Besides, Kyuubi Kyuubi Spark SQL Query Engine uses Spark DataSource APIs(V1/V2) to access data from different data sources. By default, it provides accessibility to hive warehouses with various file formats supported, such