Natick, Massachusetts – InetServices, a leading provider of affordable high performance dedicated server and cloud server hosting announced today the release of purpose-built, on-demand 14-day free proof of concept (POC) platforms for Big Data solutions.
Big data this, big data that. Hardly a day goes by when we’re not bombarded with messages about the big data platforms and technologies that will solve all our marketing problems. Let’s be honest though: these tools and technologies alone simply won’t solve the big data challenge. But the effect of all that media and market hype?
Natick, Massachusetts – InetServices, a leading provider of affordable high performance dedicated server and cloud server hosting unveiled today a new offerings in its “Big Data” solutions that enables customers to use NoSQL database solutions like Hadoop. Built on high-performance hardware and powered by the highly scalable Apache Hadoop and Hortonworks Data Platform (HDP), InetServices delivers a production-ready Hadoop cluster that allows you to scale out your applications without buying, configuring or maintaining the complex underlying infrastructure.
For big data environments an Apache Hadoop cluster provides the performance and resilience required for large data mining. Built on high-performance hardware, a Hadoop dedicated server or cloud server cluster from InetServices delivers a superior platform backed by an industry leading 100% uptime service level agreement.
Big Data Dedicated Servers
Business Intelligence Requires Big Data Solutions
InetServices offers multiple performance-packed big data servers with full administrator and root access. All our servers come with unmetered bandwidth and can be enhanced with Control Panels, Managed Services, Firewall, On-Site or Off-Site Backups, and much more.
Measured in terms of volume, velocity, and variety, big data has become a major disruption in the business intelligence and data management industry. With traditional solutions becoming too expensive to scale or adapt to rapidly evolving conditions, companies are looking to find affordable solutions that will help them store, process, and query all of their data.