TidalScale in essence is designed to reduce the burden on a company’s overall IT landscape, freeing up resources previously devoted to the complexity of the development architecture. Since the TidalScale software solution is fully automated and operates on proven mature commodity technology, the deployments are non- disruptive, allowing companies to return to operations quickly and easily. TidalScale provides the following core benefits, it:
• Increases compute resources available for in-memory analytics and decision support
• Ideal for large in-memory analytics with lowest cost hardware & energy use
• Easy scalability - Scales like a cluster, without physical memory limits, bottlenecks, or shared memory locks
• Dramatically simplifies application development
• No need to distribute work across servers
• Existing applications run as a single instance, without modification, as if on a highly flexible mainframe
• Automatic dynamic hierarchical resource optimization
• Ports to all microprocessors, memories, interconnects, persistent storage & networks
As a result, any company with operations that depend on frequent data updates will be able to run more efficiently with TidalScale technology. The conversion to TidalScale technology reduces the complexity of infrastructure management that traditional systems require. This reduced complexity allows data to be retrieved nearly instantaneously, making all of the teams in the business more efficient. These performance gains also allow business users to retrieve more useful information via their mobile devices, an ability that is increasingly important as more businesses incorporate mobile technologies into their operations.
With that in mind, it becomes easy to see how TidalScale technology allows organizations to organize and scale their business data, instead of being limited to subsets of data that have been compartmentalized in a data warehouse.
With those improvements to database visibility via TidalScale, enterprises are able to shift from after-event analysis (reactive) to real-time decision making (proactive) and then create business models that are predictive rather than response based. More value can be realized by combining easy-to-use analytic solutions from the start with the analytics platform. This allows anyone in the organization to build queries and dashboards with very little expertise, which in turn has the potential to create a pool of content experts who, without external support, can become more proactive in their actions.
With traditional disk-based systems, data is usually processed overnight, which may result in businesses being late to react to important supply alerts. TidalScale technology has the potential to help businesses in any industry operate more efficiently, from consumer products and retailing to manufacturing and financial services.
As the popularity of Big Data analytics grows, TidalScale processing is going to become the mainstay for many businesses looking for a competitive edge in addressing the problems of scale and complexity.
Software-defined server upstart TidalScale Inc. is brimming with confidence today after securing a $24 million round of funding. The Series B round was led by South Korean semiconductor firm SK Hynix Inc. with participation from previous investors, including Bain Capital, Hummer Winblad, Infosys Lt…
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