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Vendors are scrambling to deliver modern analytics to act on streams of real-time mainframe data.  There are good reasons for attempting this activity, but they

Blame the genius that gave us the term “cloud” as shorthand for distributed computing. Clouds, in many languages and cultures, are equated with things ephemeral

Change is good – a familiar mantra, but one not always easy to practice. When it comes to moving toward a new way of handling

Model9 has released version 2.0 of its Cloud Data Manager for Mainframe. With version 2.0, you can perform mainframe read/write operations directly on the cloud,

One of the great revelations for those considering new or expanded cloud adoption is the cost factor – especially with regard to storage. The received

In addition to being an AWS ISV Partner, Model9 has now expanded the breadth and depth of its solutions in the AWS ecosystem. We are

We recently looked at the topic of “Why Mainframe Data Management is Crucial for BI and Analytics” in an Analytics Insight article written by our

Introducing object storage terminology and concepts – and how to leverage cost-effective cloud data management for mainframe  Object storage is coming to the mainframe.  It’s

A modern way to achieve speed and reliability. For mainframe shops that need to move data on or off the mainframe, whether to the cloud

Model9 has released version 1.8 of its Cloud Data Manager for Mainframe. With version 1.8, Model9 makes it easier than ever for mainframe users to

At Model9, our position in the industry gives us a unique vantage point on what is happening across both the mainframe and cloud world. Clearly,

In modern analytics, significant value can be gained from insights that are based on multiple data sources. That’s the power of the data lake concept.