- Best performance with NARI Power Consumption Analysis application is achieved when all data tables are loaded into memory for analysis. Limited memory capacity today results in some tables being compressed and then having to be decompressed in serial fashion, which limits achievable performance. Expanding memory capacity to alleviate this bottleneck can often be cost-prohibitive for customers.
- Not being able to process as many queries per second (QPS) as desired.
Higher memory capacity of Intel® Optane™ DC persistent memory (Memory Mode) helps reduce the in-memory table compression ratio for NARI Power Consumption Analysis. This allows customers to maintain large amounts of data in an uncompressed format, thereby alleviating the added step of decompression before analyzing the data. As a result, it delivers better performance by processing more queries per second (see chart for performance improvement).1 2 3
Better performance at similar cost – NARI customers will benefit from being able to process up to 20% more queries per second, at comparable cost.