Splunk, the data intelligence company, is today releasing the latest version of its enterprise product which offers some interesting new economies when it comes to storage costs as well as a deeper visualization offering.
First to the cost side of the release, Splunk is promising that the new pricing for long-term data storage for its enterprise product will cut historical data storage costs with Splunk Enterprise by 40 to 80 percent, whether deployed on-premises, in the cloud or in a hybrid environment. The idea being that organizations can forget about having to decide what data to store and what to delete - the new costs mean that it is viable to keep historical data, to enable it to be used for analytics at a later date. This change reflects the increasing general trend of storage pricing to reduce, but also more specifically the competition that Splunk sees from a number of angles - from large public cloud computing vendors to smaller vendors taking advantage of lower pricing in the public cloud.
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“For many organizations, data retention costs are the single biggest factor driving analytics TCO. Splunk Enterprise addresses this problem with the new storage optimizations for historical data,” said Jason Stamper, analyst, 451 Research. “The new visualizations, analysis enhancements and storage cost reductions support Splunk's vision for cost-effective machine data analytics and platform strategy.”
As for the second part of the announcement, Splunk is answering a concern that I have expressed often (most recently when reflecting upon a partnership between analytics vendor Altiscale and visualization platform Tableau this morning). increasingly organizations are demanding that a single vendor gives them coverage over both analytics and visualization. Historically, this has been a two-step process with analytics vendors being primarily focused on building large IT infrastructures, data warehouses and querying languages and offerings. At the same time, a different group of vendors offered organizations the ability to create charts and visualization to display their data in ways that stakeholders could easily understand.
As analytics moves more into a real-time paradigm, and the speed of delivering insights becomes a critical factor, there is an increasing demand for a combined offering - one that offers both an analytics platform but also all the visualization tools that end users are looking for. And why not? These are two sides of the same coin and it makes sense to have them both offered from one platform.
So it is pleasing that this latest release of Splunk's Enterprise product includes interactive visualizations as well as an open library on Splunk's information base where customers and partners can develop and share their custom visualizations. This visualization library is a pleasing development since it allows organizations an easy on-ramp into visualizations, and allows them to try a variety of different approaches which can inform the design of their own custom visualizations. On top of the visualization tools, Splunk also offers more flexible data sampling options to further decrease the time-to-value from its product.
A one-stop-shop is an appealing idea. Add to that some great economics and you have a pretty compelling offering from Splunk. It's a busy space with lots of competition, but Splunk seems to be carving itself a strong niche in the space.
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