MarkLogic

Mainframe computers first appeared half a century ago, and the “big irons” still store and process a significant amount of all Internet data. However, mainframes are showing their age and having trouble keeping up with the demands of a digital era. Besides being costly to operate, they also can’t easily move to the cloud, meaning […]

Relational databases require ORM, which extracts the data away, tearing apart the data and adding more overhead in the process. This post is the last one in my series about “why RDBMS aren’t working” to handle today’s data challenges. The previous posts focused on the relational data model being a poor fit for today’s data, […]

Research organization TDWI recently published an online survey and assessment guide to help organizations determine how ready they are to adopt and implement Hadoop. In the past few years, the number of organizations using Hadoop—or contemplating using it—has grown astronomically. Each organization has common questions about whether they are really ready to implement Hadoop, and […]

Relational databases are designed for either OLTP or OLAP workloads. You can’t use one database for both. Today, that limitation is no longer acceptable as IT struggles to keep pace with the speed of business. To recap, in previous posts I discussed two aspects of how relational databases have inflexible data models that are not […]