FlowDiagram
Data pipelines & ETLMermaid

Real-time analytics (Kafka, Flink, Pinot) template

Sub-second user-facing analytics: events into Kafka, Flink enrichment and aggregation, Apache Pinot or Druid for serving, and a lake for history. This data flow diagram template contains 15 labelled components.

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Components in this data flow diagram

  • Web & mobile
  • Event collector
  • Services
  • Kafka
  • Operational DB
  • Debezium CDC
  • Flink: clean, join, window
  • Reference data
  • Kafka enriched topics
  • Apache Pinot real-time tables
  • Iceberg lake: history
  • Analytics API
  • In-product dashboards
  • Real-time alerts
  • Warehouse & BI

How to use this data flow diagram template

  1. Click Open in the editor. The data flow diagram opens on a new page in FlowDiagram — nothing is uploaded and there is no sign-up.
  2. Rename, add or delete shapes and drag them where you want; connectors stay attached as things move.
  3. Drop in vendor logos from the library — 1,160 of them, including every AWS, Azure and Google Cloud service icon — or restyle it with the colour and theme controls.
  4. Prefer text? Edit the Mermaid source below and paste it in through ☰ → Import diagram (see the Mermaid editor); it imports as an editable diagram.
  5. Export to PNG, SVG or PDF, or press Ctrl+L for a link that carries the whole diagram.

Mermaid source

The whole template is the text below. Paste it into FlowDiagram, keep it in Git next to the code it describes, or hand it to an AI assistant to extend.

flowchart LR
  WEB((Web & mobile)) --> COL[Event collector]
  SVC((Services)) --> K[(Kafka)]
  DB[(Operational DB)] --> CDC[Debezium CDC]
  CDC --> K
  COL --> K
  K --> FLINK[Flink: clean, join, window]
  REF[(Reference data)] --> FLINK
  FLINK --> K2[(Kafka enriched topics)]
  K2 --> PINOT[(Apache Pinot real-time tables)]
  K2 --> ICE[(Iceberg lake: history)]
  ICE --> PINOT
  PINOT --> API[Analytics API]
  API --> DASH[In-product dashboards]
  FLINK --> ALERT[Real-time alerts]
  ICE --> DWH[Warehouse & BI]

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