Real-Time Analytics — Architecture for Real-Time Analysis

Real-time analytics enables analyzing data at the moment of creation. Lambda vs Kappa, streaming pipelines, and OLAP databases.

Architecture¶

Lambda vs Kappa¶

Lambda — batch + speed layer. Kappa — streaming only.

# Real-Time Analytics — Architecture for Real-Time Analysis
# Kafka → Flink → ClickHouse → Grafana
# 1. Kafka: ingestion
# 2. Flink: enrichment, aggregation
# 3. ClickHouse: sub-second queries
# 4. Grafana: visualization

OLAP Engines¶

• ClickHouse — fastest aggregation
• Apache Druid — time-series
• Apache Pinot — user-facing analytics
• DuckDB — embedded OLAP

Metrics¶

• End-to-end latency — <10s is real-time
• Query latency — target <1s

Summary¶

Kappa with Kafka + Flink + ClickHouse is the preferred stack for real-time analytics today.