Elasticsearch has introduced a new aggregations framework to address the limitations of its previous faceting feature, enhancing its capability not only for real-time search but also for advanced analytics. Unlike facets, which only provide summary data without retaining document information, aggregations allow for more complex data analysis by organizing data into buckets and retaining details about which documents fall into which buckets. This enables the creation of intricate aggregation trees and the combination of different aggregators, such as the terms and stats aggregators, to derive statistics across various fields. The framework allows for the ordering of buckets by metrics, offering more flexibility in data analysis, as demonstrated in real-world applications like analyzing Stackoverflow data. Although the facet framework will be deprecated with the release of Elasticsearch 1.0, the new aggregations framework promises to solidify Elasticsearch's role as a powerful analytics engine, with future posts expected to delve into its performance and memory implications.