Databases with Reactive Support

Databases with reactive support allow applications to handle real-time data streaming and react to changes efficiently. Here are some databases that offer reactive capabilities:

1. Relational Databases

  • PostgreSQL (with extensions like pg_notify or LISTEN/NOTIFY)
  • MySQL (via triggers, but less reactive than PostgreSQL)
  • Microsoft SQL Server (with Change Data Capture (CDC) and Query Notifications)

2. NoSQL Databases

  • MongoDB (Change Streams provide real-time data updates)
  • Couchbase (Eventing and Change Notifications)
  • RethinkDB (Built-in push-based change feeds)
  • DynamoDB Streams (AWS-managed real-time updates)
  • Firebase Realtime Database & Firestore (Designed for real-time applications)

3. Event-Driven & Streaming Databases

  • Apache Kafka (Not a traditional database, but provides real-time event streaming)
  • Apache Pulsar (Similar to Kafka but with multi-tenancy and durability)
  • Materialize (SQL-based streaming database with reactive queries)
  • RisingWave (Optimized for continuous SQL queries on streaming data)
  • Delta Lake (With Apache Spark Streaming for real-time data updates)

4. Graph Databases

  • Neo4j (With the Neo4j Streams plugin for Kafka integration)
  • ArangoDB (Graph database with Change Data Capture)

5. Time-Series Databases

  • InfluxDB (With real-time alerting and streaming capabilities)
  • TimescaleDB (Built on PostgreSQL, supports real-time analytics)