Should You Add Real-Time to Your Batch Repertoire? Part 2

The key driving force in the analytic data pipeline in Systems of Intelligence is shrinking the time between capturing data and making a decision. The prior research note introduced the concept of stream processing to capture data in near real-time as an alternative to traditional databases. This research notes takes the next step in helping IT leaders and architects evaluate the trade-offs between the two approaches when analyzing data one event at a time. At the highest level, databases can generally make more accurate decisions while stream processors can make much faster decisions.

Both IT leaders and architects need to participate in the decision process using the budget that evaluates trade-offs. To help evaluate the trade-offs between speed and accuracy, organizations can often use historical or training data.