and manage Data Lake with pure SQL for both data processing e.g. ETL, and analytics e.g. BI. All workloads can be done on one platform, using one copy of data, with one SQL interface. Kyuubi provides the project despite that the Spark Thrift JDBC/ODBC server [http://spark.apache.org/docs/latest/sql-distributed-sql-engine.html#running-the-thrift-jdbcodbc-server] already exists. 1. Supports multi-client concurrency g. Hive Beeline, HUE [https://gethue.com/], DBeaver [https://dbeaver.io/], SQuirreL SQL Client [http://squirrel- sql.sourceforge.net/], etc, to operate with Kyuubi server concurrently. The SPA policy

and manage Data Lake with pure SQL for both data processing e.g. ETL, and analytics e.g. BI. All workloads can be done on one platform, using one copy of data, with one SQL interface. Kyuubi provides the project despite that the Spark Thrift JDBC/ODBC server [http://spark.apache.org/docs/latest/sql-distributed-sql-engine.html#running-the-thrift-jdbcodbc-server] already exists. 1. Supports multi-client concurrency g. Hive Beeline, HUE [https://gethue.com/], DBeaver [https://dbeaver.io/], SQuirreL SQL Client [http://squirrel- sql.sourceforge.net/], etc, to operate with Kyuubi server concurrently. The SPA policy

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 2 Serverless SQL and More 5 2.1 Ease of Use . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Release 1.7.0 Apache Kyuubi™ is a distributed and multi-tenant gateway to provide serverless SQL on Data Warehouses and Lake- houses. Kyuubi builds distributed SQL query engines on top of various kinds frameworks, e.g., Apache Spark, Flink, Doris, Hive, and Trino, etc, to query massive datasets distributed over fleets of machines from heteroge- neous data sources. The Kyuubi Server lane of the below

Welcome Apache Kyuubi™ is a distributed and multi-tenant gateway to provide serverless SQL on Data Warehouses and Lakehouses. Kyuubi builds distributed SQL query engines on top of various kinds of modern Hive [https://hive.apache.org/], and Trino [https://trino.io/], etc, to query massive datasets distributed over fleets of machines from heterogeneous data sources. The Kyuubi Server lane of the below swimlane Lakehouse with pure SQL for both data processing, e.g. ETL, and online analytics processing(OLAP), e.g. BI. All workloads can be done on one platform, using one copy of data, with one SQL interface. A Unified

and manage Data Lake with pure SQL for both data processing e.g. ETL, and analytics e.g. BI. All workloads can be done on one platform, using one copy of data, with one SQL interface. Kyuubi provides the project despite that the Spark Thrift JDBC/ODBC server [http://spark.apache.org/docs/latest/sql-distributed-sql-engine.html#running-the-thrift-jdbcodbc-server] already exists. 1. Supports multi-client concurrency g. Hive Beeline, HUE [https://gethue.com/], DBeaver [https://dbeaver.io/], SQuirreL SQL Client [http://squirrel- sql.sourceforge.net/], etc, to operate with Kyuubi server concurrently. The SPA policy

and manage Data Lake with pure SQL for both data processing e.g. ETL, and analytics e.g. BI. All workloads can be done on one platform, using one copy of data, with one SQL interface. Kyuubi provides the project despite that the Spark Thrift JDBC/ODBC server [http://spark.apache.org/docs/latest/sql-distributed-sql-engine.html#running-the-thrift-jdbcodbc-server] already exists. 1. Supports multi-client concurrency g. Hive Beeline, HUE [https://gethue.com/], DBeaver [https://dbeaver.io/], SQuirreL SQL Client [http://squirrel- sql.sourceforge.net/], etc, to operate with Kyuubi server concurrently. The SPA policy

and manage Data Lake with pure SQL for both data processing e.g. ETL, and analytics e.g. BI. All workloads can be done on one platform, using one copy of data, with one SQL interface. Kyuubi provides the project despite that the Spark Thrift JDBC/ODBC server [http://spark.apache.org/docs/latest/sql-distributed-sql-engine.html#running-the- thrift-jdbcodbc-server] already exists. 1. Supports multi-client g. Hive Beeline, HUE [https://gethue.com/], DBeaver [https://dbeaver.io/], SQuirreL SQL Client [http://squirrel-sql.sourceforge.net/], etc, to operate with Kyuubi server concurrently. The SPA policy makes

and manage Data Lake with pure SQL for both data processing e.g. ETL, and analytics e.g. BI. All workloads can be done on one platform, using one copy of data, with one SQL interface. Kyuubi provides the project despite that the Spark Thrift JDBC/ODBC server [http://spark.apache.org/docs/latest/sql-distributed-sql-engine.html#running-the- thrift-jdbcodbc-server] already exists. 1. Supports multi-client g. Hive Beeline, HUE [https://gethue.com/], DBeaver [https://dbeaver.io/], SQuirreL SQL Client [http://squirrel-sql.sourceforge.net/], etc, to operate with Kyuubi server concurrently. The SPA policy makes

and manage Data Lake with pure SQL for both data processing e.g. ETL, and analytics e.g. BI. All workloads can be done on one platform, using one copy of data, with one SQL interface. Kyuubi provides the project despite that the Spark Thrift JDBC/ODBC server [http://spark.apache.org/docs/latest/sql-distributed-sql-engine.html#running-the- thrift-jdbcodbc-server] already exists. 1. Supports multi-client g. Hive Beeline, HUE [https://gethue.com/], DBeaver [https://dbeaver.io/], SQuirreL SQL Client [http://squirrel-sql.sourceforge.net/], etc, to operate with Kyuubi server concurrently. The SPA policy makes

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 85 6.7 SQL References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . and manage Data Lake with pure SQL for both data processing e.g. ETL, and analytics e.g. BI. All workloads can be done on one platform, using one copy of data, with one SQL interface. Kyuubi provides the have valid accounts could use all kinds of client tools, e.g. Hive Beeline, HUE, DBeaver, SQuirreL SQL Client, etc, to operate with Kyuubi server concurrently. The SPA policy makes sure 1) a user account