High Return On Investment (ROI) - implementation time and cost
	Low Total Cost of Ownership (TCO)
	Avoid short-term cost to build and longer-term cost to maintain conventional federated database adapters
	No increased load on existing systems, unlike federated databases
	No cost to move data through Extract Transform and Load (ETL) processes to a "one-size-fits-all" data warehouse - avoid data schema transforms
	Low cost for additional data storage, unlike a data warehouse; however, indexes do require some additional storage
	No or low-cost evaluation/proof of concept/prototype
	Works with most existing systems
	Can be quick and easy to deploy: Aim for bundled, DBA-level enterprise tools – no special expertise required
	Stable, proven reliability – used in legacy products for 24/7 mission-critical operations

	Very large number of records Up to 2.2 billion for 32-bit version for a single data source - multiple 32-bit data partitions for up to almost 70 billion 64-bit version planned for almost unlimited number of  records
	Very large volumes of data (multi-terabytes)
	Large number of concurrent users
	Fastest available index and query processing system[1]
	Rapid response to queries (typically, 10 to over 100 times faster than other RDBMSs) - sub-second responses to complex queries on a billion records - try it for yourself at www.whamtechdev.com
	Real-time update rates of 100s to 10s of 1000s of records per second on low-level, off-the-shelf servers -  try it for yourself at www.whamtechdev.com
	Complex queries
	Fast n-way table joins using virtual query processing - no interim or temporary tables
	Fast range queries, including spatial and date/time data (up to 5 million records/second)
	Text search on structured, unstructured, and semi-structured data sources
	Highly flexible query and results data integration and presentation
	Little or no “optimization” needed
	Stability (no data or index corruption reported in last 15 years - core code is stable)
	Established, proven technology (> 25 years)

[1]C. William Gear, Applications and Algorithms in Computer Science, Science Research Associates, Inc, 1978, p. A107.

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