Welcome to Kyuubi’s documentation! Kyuubi™ is a unified multi-tenant JDBC interface for large-scale data processing and analytics, built on top of Apache Spark™ [http://spark.apache.org/]. In general, the org/] to build 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 application per account(SPA). 3. Supports QUEUE/NAMESPACE Access Control Lists (ACL) 4. Supports metadata & data Access Control Lists Users who have valid accounts could use all kinds of client tools, e.g. Hive

Welcome to Kyuubi’s documentation! Kyuubi™ is a unified multi-tenant JDBC interface for large-scale data processing and analytics, built on top of Apache Spark™ [http://spark.apache.org/]. In general, the org/] to build 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 application per account(SPA). 3. Supports QUEUE/NAMESPACE Access Control Lists (ACL) 4. Supports metadata & data Access Control Lists Users who have valid accounts could use all kinds of client tools, e.g. Hive

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 and 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 technical details of computing and storage from the end users. Thus, they can focus on their business and data with familiar tools. On the other hand, it hides the complexity of business logic from the administrators

123 i ii Kyuubi, Release 1.3.0 Kyuubi™ is a unified multi-tenant JDBC interface for large-scale data processing and analytics, built on top of Apache Spark™. In general, the complete ecosystem of Kyuubi Iceberg to build 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 per account(SPA). 3. Supports QUEUE/NAMESPACE Access Control Lists (ACL) 4. Supports metadata & data Access Control Lists Users who have valid accounts could use all kinds of client tools, e.g. Hive

123 i ii Kyuubi, Release 1.3.0 Kyuubi™ is a unified multi-tenant JDBC interface for large-scale data processing and analytics, built on top of Apache Spark™. In general, the complete ecosystem of Kyuubi Iceberg to build 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 per account(SPA). 3. Supports QUEUE/NAMESPACE Access Control Lists (ACL) 4. Supports metadata & data Access Control Lists Users who have valid accounts could use all kinds of client tools, e.g. Hive

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 [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 divides our prospective users into end users technical details of computing and storage from the end users. Thus, they can focus on their business and data with familiar tools. On the other hand, it hides the complexity of business logic from the administrators

Welcome to Kyuubi’s documentation! Kyuubi™ is a unified multi-tenant JDBC interface for large-scale data processing and analytics, built on top of Apache Spark™ [http://spark.apache.org/]. In general, the org/] to build 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 application per account(SPA). 3. Supports QUEUE/NAMESPACE Access Control Lists (ACL) 4. Supports metadata & data Access Control Lists Users who have valid accounts could use all kinds of client tools, e.g. Hive

Welcome to Kyuubi’s documentation! Kyuubi™ is a unified multi-tenant JDBC interface for large-scale data processing and analytics, built on top of Apache Spark™ [http://spark.apache.org/]. In general, the org/] to build 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 application per account(SPA). 3. Supports QUEUE/NAMESPACE Access Control Lists (ACL) 4. Supports metadata & data Access Control Lists Users who have valid accounts could use all kinds of client tools, e.g. Hive

Kyuubi, Release 1.6.1-incubating Kyuubi™ is a unified multi-tenant JDBC interface for large-scale data processing and analytics, built on top of Apache Spark™. In general, the complete ecosystem of Kyuubi Iceberg to build 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 per account(SPA). 3. Supports QUEUE/NAMESPACE Access Control Lists (ACL) 4. Supports metadata & data Access Control Lists Users who have valid accounts could use all kinds of client tools, e.g. Hive

Kyuubi, Release 1.6.0-incubating Kyuubi™ is a unified multi-tenant JDBC interface for large-scale data processing and analytics, built on top of Apache Spark™. In general, the complete ecosystem of Kyuubi Iceberg to build 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 per account(SPA). 3. Supports QUEUE/NAMESPACE Access Control Lists (ACL) 4. Supports metadata & data Access Control Lists Users who have valid accounts could use all kinds of client tools, e.g. Hive