Multi-Value Database

Multi-Value Database is a kind of multi-dimensional and NoSQL database which is able to understand three-dimensional data. These databases are enough for manipulating XML and HTML strings directly. Some examples of Commercial Multi-value Databases are OpenQM, Rocket D3 Database Management System, jBASE, Intersystem Cache, OpenInsight, and InfinityDB.

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By 2025, the amount of the global datasphere subject to data analysis will grow by a factor of 50 to 5.2 zettabytes.
In a survey of approximately 700 business professionals, only 15% said their organization is currently very effective in delivering a relevant and reliable customer experience. In the same survey, only 3% of respondents said they are able to act on all of the customer data they collect; 21% say they can act on very little of it.
45 percent of companies run at least some big data workloads in the cloud.
People generate 2.5 quintillion bytes of data each day.
Only 16% of organizations can currently say that 75% or more of their employees have access to company data and analytics.
60 percent of businesses believe it is harder to source talent for data and analytics positions than for any other roles
62 percent of retail businesses see competitive advantages from information and analytics.
29 percent of investment professionals use expert networks to derive data.
21 percent of investment professionals use web traffic to derive data.
The worldwide big data market is projected to grow from $42 billion in 2018 to $103 billion in 2027.

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