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According to TDWI Research’s Big Data Analytics Survey, 33% of surveyed organizations are contemplating a replacement of their analytic databases, data warehouses, and similar platforms to keep pace with new and intensifying requirements for advanced analytics in a “big data” world. As user organizations make such platform replacements —or add additional platforms to their expanding data warehouse architectures —they are turning more and more to specialized analytic database management systems (DBMSs).
Roughly half of organizations surveyed have already deployed one or more standalone analytic databases, and an additional third plan to deploy their first within three years, reveals the survey.
Why purpose-built analytic database?
1. Organizations want more business value from big data. A recent shift in conventional wisdom now says that big data should be leveraged via analytics rather than treated as a cost center. User organizations want more analytics, in general. For one thing, change is rampant in business, and analytics helps us discover both what has changed and how we should react.
2. In addition, there are business opportunities to seize in the economic recovery, and analytics helps identify customer segments, profitable customers, products of affinity, sales seasonality, and so on.
Advanced analytic methods and big data volumes demand a purpose-built analytic database.
3. Today, there’s a slow trend away from practicing analytics and DW with relational DBMSs that were originally designed for online transaction processing (OLTP). As a viable alternative, analytic databases provide computing architectures designed for complex queries, analytic algorithms, high performance, terabyte-size scalability, and integration with other platforms in a distributed data environment.
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