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confluentinc/demo-scene resource

Scripts and samples to support Confluent Demos, Talks, and Blogs. Not all of the examples in this repository are kept up to date. For automated tutorials and QA'd code, see https://github.com/confluentinc/tutorials/ observed · 2026-08-28

github.com/confluentinc/demo-scene · homepage · Shell · Apache-2.0 (permissive) observed · 2026-08-28

Health v2 · maintenance only

67/100

  • Activity 99
  • Release rhythm 8
  • Longevity 100
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 3106
  • days_rel: n/a
  • days_push: 8
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1565 stars · 898 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A collection of scripts, Docker Compose setups, and sample code supporting Confluent's demos, talks, and blogs about Apache Kafka and its ecosystem. It covers streaming pipelines, CDC with Debezium, ksqlDB, Kafka Connect, and event-driven applications, though not all examples are kept up to date.

Use cases

  • learn apache kafka with runnable examples
  • demo a streaming ETL pipeline from mysql to elasticsearch
  • try debezium change data capture with ksqlDB
  • build a demo event-driven microservices workshop
  • stream data from postgres to kafka and beyond
  • set up a kafka demo environment with docker compose
  • explore kafka connect connector examples

When to choose

  • you want hands-on, copy-paste demo environments for Kafka, ksqlDB, and Kafka Connect
  • you are preparing a talk, workshop, or blog post about Confluent Platform
  • you want to experiment with CDC pipelines using Debezium and various databases
  • you prefer learning from ad-hoc samples rather than QA'd tutorials

When to avoid

  • you need production-ready, maintained, QA'd code - use confluentinc/tutorials or confluentinc/examples instead
  • you need a supported library or SDK to build an application
  • you cannot spare 8GB of memory for Docker-based demo stacks
  • you need guaranteed up-to-date examples - the repo explicitly says not all are kept current

Facets

learning-resource · maturity maintenance

streaming etl developer-tools data-science big-data developer-tools tutorials cross-platform apache-kafka ksqldb kafka-connect debezium cdc change-data-capture elasticsearch demos confluent event-streaming samples docker-compose data-engineering messaging docker shell

6 sources

Member repositories

RepositoryRoleHealth v2
confluentinc/demo-scenemain67

For agents

markdown · JSON · MCP: product_card(name="confluentinc/demo-scene")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem