Big data platforms represent a tidal shift in the way organizations capture, store, and process data. Designed to process high volumes of multi-structured data in batch or real time, they consist of an ecosystem of components ranging from file systems, databases, and server arrays, to a variety of data processing and analytical languages and engines, to management, governance, and administrative tools. 

There are about a dozen big data platform products on the market today. They can be divided into three categories based on their heritage technology: relational databases, Hadoop distributions, and cloud managed services. These categories provide a shorthand way to understand each vendor’s big data platform and strategy for achieving critical mass in the big data marketplace. Each category also appeals to different types of customers, sometimes within the same organization. 

From this report, you will learn: 

• The evolution of big data platforms 
• A reference architecture for big data platforms
• Three categories of big data platforms
• Strategies platform vendors are taking to achieve market dominance
• Criteria for evaluation big data platform products
• In-depth profiles of five leading big data platforms

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