Public Repository

Last pushed: 2 years ago
Short Description
Registration and product description for IBM® Db2® Warehouse
Full Description

IBM Db2 Warehouse, formerly known as IBM dashDB™ Local, is a highly flexible data warehouse that is optimized for fast deployment into private or virtual private clouds through a Docker container. Db2 Warehouse includes in-memory columnar computing with automated scaling capabilities, helping to increase infrastructure efficiency.

Because the software stack is packaged into a Docker container, you can provision Db2 Warehouse with as little as one docker run command on Linux. If you're using Mac or Windows, it can be as easy as a search for "dashDB" followed by a single click. Accessing subsequent software stack updates are as simple as using your mobile app, using the same docker run command against a new version of the container on your existing installation. You can quickly download and install a cutting-edge data warehouse product with just a few simple commands.

For more information about Db2 Warehouse, see the marketing page.

How do I download Db2 Warehouse?

Don't try to download the product by using the sample docker pull command in the top-right corner of this page. Instructions for downloading and deploying Db2 Warehouse and the product images are on the private repository page, which you can access only after you complete the registration process.

To register for Db2 Warehouse:

  1. Go to the signup page.
  2. Wait for a confirmation email from Docker Hub that says that you have been given access to the private repository.


The Dockerfile and associated scripts are licensed under the Apache License 2.0. IBM Db2 Warehouse and IBM dashDB Local are licensed under the IBM International Program License Agreement or the IBM International License Agreement for Evaluation of Programs, as applicable, including the terms in the accompanying License Information document for the program, and the accompanying Non-IBM License document. The IBM license agreement may be found online at this link.

Docker Pull Command