Open Platform as a Service (PaaS) for .NET

5 trends that are changing how we do big data — Data | GigaOM Why Splice | Splice Machine Organizations are eager to tap into the wealth of data that is at their fingertips, but mere analysis is no longer sufficient. Time is a critical factor when it comes to uncovering insights that can be turned into rapid actions. This makes accessing near-real-time data an imperative for companies who are striving to realize the promise of Big Data by becoming real-time, data-driven businesses. Real-time, analytical applications are emerging to collect, analyze, and react to data without the high costs and poor scalability of traditional databases. Process real-time updatesUtilize standard SQLScale out on commodity hardware As a general-purpose database flexible to handle both analytical (OLAP) and operational (OLTP) workloads, Splice Machine can be used anywhere that MySQL or Oracle can be used, but with the advantage of scaling out with commodity hardware. Learn about Splice Machine Use Cases Learn about Splice Machine’s Key Differentiators

How one startup wants to inject Hadoop into your SQL — Cloud Computing News 5 low-profile startups that could change the face of big data — Cloud Computing News