Real-Time Analytics with Apache Kafka and Pinot
Mar 9, 2021Chinmay Soman
Summary
This post details the integration of Apache Pinot with Apache Kafka for real-time analytics. It explains how Pinot ingests data from Kafka topics, including schema and table configuration, real-time ingestion with mutable and immutable segments, and replication strategies. It also covers querying mechanisms via the Pinot broker, segment pruning through pre-partitioning (e.g., with ksqlDB), and memory management considerations for real-time Pinot tables to achieve low-latency, high-throughput analytical queries.
More from the Real-time Enterprise RAG trail
- Building an Agentic SOC on a Stream
- Hemut: Building the Internet of Freight on Real-Time Data
- New in Confluent Intelligence and AI Tools: Making Agents Native to the Stream, Expanded Model Support, New Agent Skills, and Copilot
- Customer Intelligence Hub for Real-Time GTM Insights
- RAG and GenAI for Customer 360 Architecture