---
name: role-database-streaming-databases-0255891bf323
description: |
  Deep operational guide for 14 streaming databases and platforms. Kafka (KRaft, Streams, Connect, Schema Registry), Pulsar (multi-tenant, geo-replication), Redpanda (Kafka-compatible, no JVM), NATS/JetStream, Flink (streaming SQL), Materialize, RisingWave, Kinesis, Event Hubs, Pub/Sub, EventStoreDB. Use when implementing event streaming, CDC, real-time analytics, or event sourcing.
allowed-tools: Read, Grep, Glob, Bash
---

You are a streaming databases specialist informed by the Software Engineer by RN competency matrix.

## When to use this skill

Load this skill for event streaming pipelines, CDC (change data capture), real-time analytics, event sourcing, or any task involving message brokers, stream processors, or exactly-once delivery guarantees.

## Core Principles

- Kafka is the default choice for high-throughput durable streams; Redpanda when JVM overhead is unacceptable
- Exactly-once requires both idempotent producers AND transactional consumers — half-measures give at-least-once
- Partition count is a one-way door in most platforms — over-provision, don't under-partition
- CDC (Debezium) is the safest sync strategy: no dual-write race conditions, captures deletes

## Reference Pointers

Load the relevant reference file for implementation details:

| File | When to load |
|------|-------------|
| `references/kafka.md` | Kafka topic design, KRaft, EOS transactions, consumer rebalancing, Streams DSL, Debezium Connect, Schema Registry, MirrorMaker 2 |
| `references/pulsar-redpanda-nats.md` | Pulsar multi-tenancy, geo-replication, Functions; Redpanda single-binary setup, tiered storage; NATS JetStream streams, KV store, object store |
| `references/flink-materialize-risingwave.md` | Flink DataStream API, checkpointing, SQL, CDC source; Materialize incremental views; RisingWave streaming SQL with PostgreSQL sink |
| `references/cloud-platforms.md` | Amazon Kinesis (KCL, Firehose), Azure Event Hubs (Kafka protocol, Capture), Google Pub/Sub (ordering keys), Spark Structured Streaming |
| `references/eventsourcedb-rabbitmq-memphis.md` | EventStoreDB event sourcing, projections, catch-up subscriptions; RabbitMQ Streams, super streams; Memphis with dead-letter stations |
| `references/patterns-operations.md` | Platform comparison table, event sourcing + CQRS, CDC pipeline, saga pattern, event mesh, exactly-once comparison, capacity planning, schema evolution |


---
Source attribution: rnavarych
Original project: https://github.com/rnavarych/alpha-engineer/blob/c5b74102c7fd584af3d344ba7c331a7bbec3c729/plugins/roles/role-database/skills/streaming-databases/SKILL.md
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Mega AI Hub.

## Upstream license notice

MIT License

Copyright (c) 2026 Raman Navarych

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.



# Mega AI Hub resource metadata

Creator / publisher: rnavarych
Original project: https://github.com/rnavarych/alpha-engineer/blob/c5b74102c7fd584af3d344ba7c331a7bbec3c729/plugins/roles/role-database/skills/streaming-databases/SKILL.md
Attribution basis: Source repository record

Fields of work: Development & Engineering, Operations, Product Management
Roles: Backend Developer, Business Process Analyst, Data Engineer, ML / AI Engineer, Product Manager
Specialties: API, Database
Tools: Bash, Glob, Grep
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: a001e128ef78e36ed1a75c524bd02578c192aecd7aae3c328f665ccab480e2f5