Multi-Cloud Streaming: Avoiding Vendor Lock-In
Cloud-specific streaming services (Kinesis, Dataflow, Stream Analytics) create vendor lock-in. A multi-cloud streaming architecture uses open-source tools — Apache Kafka (or Redpanda) for messaging and RisingWave for processing — that run identically on any cloud or on-premise.
Multi-Cloud Streaming Architecture
Any Cloud / On-Premise
├── Kafka or Redpanda (event streaming)
├── RisingWave (stream processing + serving)
├── Apache Iceberg on S3/GCS/ADLS (storage)
└── Trino or DuckDB (analytical queries)
Lock-In Assessment
| Component | Locked-In Option | Open Alternative |
| Messaging | Kinesis, Pub/Sub, Event Hubs | Kafka, Redpanda, Pulsar |
| Processing | Dataflow, Managed Flink, Stream Analytics | RisingWave, Flink (self-hosted) |
| Storage | Redshift, BigQuery | Iceberg on S3/GCS |
| Serving | DynamoDB, Bigtable | RisingWave (built-in PG) |
Why Open Source for Streaming
- Portability: Same stack works on AWS, GCP, Azure, or on-premise
- Cost control: No vendor markup on compute/storage
- Negotiation leverage: Can migrate if pricing changes
- Regulatory compliance: Data stays in your infrastructure
Frequently Asked Questions
Is multi-cloud streaming more expensive?
Not necessarily. You lose managed service convenience but gain negotiation leverage and avoid vendor markup. Self-hosted open source on EC2/GCE/Azure VMs is often 50-70% cheaper than equivalent managed services.
Which open-source tools should I use for multi-cloud streaming?
Kafka or Redpanda for messaging. RisingWave for stream processing + serving (PostgreSQL-compatible, S3 state). Apache Iceberg for storage (works on S3, GCS, ADLS). Trino or DuckDB for analytical queries.
