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 modern computing frameworks, e.g., Apache Spark [https://spark.apache.org/], Flink [https://flink.apache.org/], Doris [https://doris.apache.org/], Hive [https://hive.apache.org/], and Trino [https://trino 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. On the

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 modern computing frameworks, e.g., Apache Spark [https://spark.apache.org/], Flink [https://flink.apache.org/], Doris [https://doris.apache.org/], Hive [https://hive.apache.org/], and Trino [https://trino 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. On the

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 modern computing frameworks, e.g., Apache Spark [https://spark.apache.org/], Flink [https://flink.apache.org/], Doris [https://doris.apache.org/], Hive [https://hive.apache.org/], and Trino [https://trino 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. On the

multi-tenant JDBC interface for large-scale data processing and analytics, built on top of Apache Spark™ [http://spark.apache.org/]. In general, the complete ecosystem of Kyuubi falls into the hierarchies shown each layer loosely coupled to the other. For example, you can use Kyuubi, Spark and Apache Iceberg [https://iceberg.apache.org/] to build and manage Data Lake with pure SQL for both data processing e.g. ETL 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

multi-tenant JDBC interface for large-scale data processing and analytics, built on top of Apache Spark™ [http://spark.apache.org/]. In general, the complete ecosystem of Kyuubi falls into the hierarchies shown each layer loosely coupled to the other. For example, you can use Kyuubi, Spark and Apache Iceberg [https://iceberg.apache.org/] to build and manage Data Lake with pure SQL for both data processing e.g. ETL 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

multi-tenant JDBC interface for large-scale data processing and analytics, built on top of Apache Spark™ [http://spark.apache.org/]. In general, the complete ecosystem of Kyuubi falls into the hierarchies shown each layer loosely coupled to the other. For example, you can use Kyuubi, Spark and Apache Iceberg [https://iceberg.apache.org/] to build and manage Data Lake with pure SQL for both data processing e.g. ETL 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

multi-tenant JDBC interface for large-scale data processing and analytics, built on top of Apache Spark™ [http://spark.apache.org/]. In general, the complete ecosystem of Kyuubi falls into the hierarchies shown each layer loosely coupled to the other. For example, you can use Kyuubi, Spark and Apache Iceberg [https://iceberg.apache.org/] to build and manage Data Lake with pure SQL for both data processing e.g. ETL 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

multi-tenant JDBC interface for large-scale data processing and analytics, built on top of Apache Spark™ [http://spark.apache.org/]. In general, the complete ecosystem of Kyuubi falls into the hierarchies shown each layer loosely coupled to the other. For example, you can use Kyuubi, Spark and Apache Iceberg [https://iceberg.apache.org/] to build and manage Data Lake with pure SQL for both data processing e.g. ETL 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

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 modern computing frameworks, e.g., Apache Spark [https://spark.apache.org/], Flink [https://flink.apache.org/], Doris [https://doris.apache.org/], Hive [https://hive.apache.org/], and Trino [https://trino 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. On the

multi-tenant JDBC interface for large-scale data processing and analytics, built on top of Apache Spark™ [http://spark.apache.org/]. In general, the complete ecosystem of Kyuubi falls into the hierarchies shown each layer loosely coupled to the other. For example, you can use Kyuubi, Spark and Apache Iceberg [https://iceberg.apache.org/] to build and manage Data Lake with pure SQL for both data processing e.g. ETL 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