Dear All, I am thrilled to share some exciting news with you! The Hive project is now available on DockerHub <https://hub.docker.com/r/apache/hive> - https://hub.docker.com/r/apache/hive, making it easier than ever to explore our latest and greatest features. By simply executing two commands, you can dive right into the world of Hive and unleash its full potential. In the realm of big data, one of the most significant challenges has always been the onboarding process. Trying out any data warehouse in the market typically involves a lengthy and cumbersome procedure. Even popular platforms have complex, time-consuming, and often expensive processes for trying out big data and data warehousing solutions. Even for sandboxes.
However, I'm delighted to inform you that Hive is here to break the Ice (Iceberg :-) ) . Unlike its counterparts, Hive offers a unique data warehousing experience that anyone can try out effortlessly, even on their local computer. You can now play with our latest features, including the revolutionary Iceberg, within a matter of minutes. Although this "standalone cluster" is not designed for production use, it serves as a sandbox environment where you can experiment with queries and explore the capabilities of Hive on small datasets. The availability of Hive on DockerHub opens up a world of possibilities for enthusiasts and professionals alike. If you've ever had an interest in Hive, now is the perfect time to give it a try. :) ( I watched to many advertisment recently ¯\_(ツ)_/¯ ) To get started, simply follow these two straightforward commands: Pull the latest image: docker pull apache/hive:4.0.0-alpha-2 Start the container: docker run -d -p 10000:10000 -p 10002:10002 --env SERVICE_NAME=hiveserver2 --name hive4 apache/hive:4.0.0-alpha-2 Once you execute these commands, you'll gain immediate access to Hive and its coolest features. Huge thanks for the Hive open source community especially for Ayush, Denys, Simhadri, Stamatis, Zhihua D. (alphabetical order) -Attila