SenSage Pushes Cloud-Based Event Data Warehouse

SenSage has turned its attention to the cloud for event data warehousing. The latest release of its software, SenSage 4.5, is aimed directly at bringing unlimited, elastic storage and processing to cloud-based event data warehousing applications.

SenSage is now taking its event data warehouse concept to the cloud.

With SenSage 4.5, the company has decided to target cloud-based computing environments by offering the product as a software as a service aimed at public cloud service providers interested in offering SenSage products.

"The No. 1 application of cloud-based data warehousing is GRC data," said Jim Pflaging, CEO of SenSage. "The fastest-growing data type that they have is GRC data, and that's unstructured and semi-structured data, and that's our specialty."

The event data warehouse is SenSage's answer for helping enterprises deal with the ever-growing amount of event data created by business transactions and other records. According to SenSage, as organizations generate voluminous amounts of event data, they are also facing escalating requirements to analyze and retain log files, banking transactions and other types of event data. The company is banking on enterprises looking to cloud-based data warehousing to help lower their costs and improve service delivery.

To reduce the cost of ownership, the software works in VMware environments and enables storage, server and data virtualization along with some prebuilt GRC (governance, risk and compliance) solutions.

In the area of server virtualization, there is full clustering and configuration in a VMware environment with hypervisor for optimal use of CPU cores, memory and other virtualized hardware resources. Around storage virtualization there is immediate, dynamic integration of SANs (storage area networks), NAS (network-attached storage) and CAS (content addressable storage) as online storage in a cloud-based or VMware environment.

In addition, users can add new data sources, reports and analyses without requiring changes to underlying SQL or database schema. There is also native support for multitenancy on a single physical or virtual instance, and real-time monitoring and correlation of events.

"We see analytic data warehousing emerging at the forefront of the deployment of data-management technologies in the cloud," said Matt Aslett, an analyst at The 451 Group, in a statement. "This is due to the potential for ad hoc analytic services based on data stored on relatively inexpensive cloud platforms and the fact that MPP architectures, such as SenSage, are well-suited to clustered, virtualized cloud environments."