Apache Pinot is a real-time distributed OLAP datastore, purpose-built for low-latency, high-throughput analytics. It is designed to ingest data from streaming sources (like Apache Kafka) and batch data (like Hadoop HDFS) and make it immediately queryable with low latency. It's commonly used for powering user-facing analytics, business intelligence dashboards, and real-time monitoring applications where low latency is critical.
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