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