In the age of Google search, data-processing speed is crucial for online retailers and shoppers alike, as even near real-time processing can significantly improve user experience. Near real-time refers to timeliness that's slightly delayed compared to real-time processing, with acceptable latency being more than adequate. There are three types of data processing: real-time, batch, and near real-time processing. Near real-time search is ideal for applications where speed is required but not absolute, such as in online retail and customer service. A fast and efficient search engine can lead to a better user experience, increased conversions, and improved business intelligence. Algolia's near-real-time analytics API uses advanced machine-learning algorithms and indexes data quickly, providing users with speedy search results and driving positive results for businesses.