Querybook is a Big Data Querying UI, combining collocated table metadata and a simple notebook interface.

Hive federation service. Enables disparate tables to be concurrently accessed across multiple Hive deployments.

A client for connecting and running DDLs on hive metastore.

A curated list of awesome Online Analytical Processing databases, frameworks, ressources and other awesomeness.

Service for automatically managing and cleaning up unreferenced data

Examples and custom spark images for working with the spark-on-k8s operator on AWS

Go Client for Hive Metastore

Metadata Comparison Toolkit. As of now, V-1.0.0 only consists Comparison of two DDL file ( .sql ) or two DDL statement. You can also parse sql files .

A SQL parser and analyzer for sql flavors including MySQL, PostgreSQL, BigQuery Standard SQL, Presto SQL and Hive SQL.

This project leverages Hadoop, Spark, SQL, and Hive for efficient data integration, transformation, warehousing, and analytics. It provides a comprehensive solution for managing and analyzing large datasets.

This is a Kubernetes Operator to manage Apache Hive Metastore

Automated setup of a HDFS, YARN and Metastore in single cluster mode with a single command

HMS API v2

YARN Cluster - Hadoop, Hive, Hive Metastore and AWS Glue

Github Actions pipeline to Export and Import models from one Unity Catalog Metastore to another Unity Catalog Metastore.

Перенос метаданных между кластерами Yandex Data Processing с помощью Yandex Managed Service for Metastore.

Совместная работа с таблицами в Yandex Data Processing с использованием Metastore.