Open source business intelligence (BI) software vendor Jaspersoft recently announced general availability of its flagship product Jaspersoft 4 and earlier this week announced a new reporting project that provides data connectors to a variety of large-scale data sources.
This is the first in a series of posts on the architectures of analytic databases. This is relational database technology that has been “supercharged” in some way to handle large amounts of data such as typical data warehouse workloads. The series will examine massively parallel processing (MPP), columnar databases, appliances and in-database analytics. Our purpose is to help those evaluating analytic database technologies understand some of the alternative approaches so they can differentiate between different vendors’ offerings. There is no single best solution for all analytics for all types of applications; usually the decision involves a series of trade-offs. Understanding what you might be giving up or gaining, you may be able to make a better decision about which solution is best for your organization’s needs.
Cloud computing is having an increasingly large influence over the IT landscape. It’s likely that, whether you realize it or not, corporate data exists and or is migrating outside the walls of your organization. Recent research by Ventana Research shows that in areas such as customer services, sales, workforce or human capital management, software as a service (SaaS) or cloud-based applications increasingly are being accepted and adopted. In our benchmark research on business intelligence and performance management, for example, only 53 percent of prefer their systems on-premises, and we expect that percentage to decline in the next 12 to 24 months, in which more than one-third of organizations plan to begin using cloud-based or SaaS applications.