Apache Pinot
Apache Pinot is a real-time distributed OLAP datastore designed to deliver low-latency analytical queries at scale. It is optimized for ingesting data from streaming sources like Kafka and batch sources, enabling fast aggregations and filtering on large datasets. Pinot is commonly used for user-facing analytics dashboards, real-time monitoring, and ad-hoc querying in high-throughput environments.
Developers should learn Apache Pinot when building applications that require sub-second query performance on massive, real-time data, such as in e-commerce analytics, IoT monitoring, or fraud detection systems. It is particularly valuable for use cases involving time-series data, complex aggregations, and high concurrency, where traditional databases struggle with latency and scalability.