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Streaming in Planasonix lets you capture events as they happen, transform them in flight, and land them in warehouses, lakes, or operational stores with low latency. You use the same governance and observability patterns as batch pipelines, but execution is continuous or micro-batched instead of cron-sized chunks.

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Premium feature

End-to-end streaming pipelines (managed CDC connectors, stream processors, and long-lived jobs) are available on Premium and higher tiers. Starter and Professional workspaces may offer batch-only ingestion. If streaming nodes are disabled, contact your admin about upgrading or enabling the streaming add-on.

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Core concepts

A stream is an ordered sequence of events or change records you read from a source system or message bus.
Latency targets depend on source capabilities, network, and destination write APIs—not every path guarantees sub-second delivery end to end.

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Use cases

Operational analytics

Feed product, billing, and support events into near-real-time dashboards without hourly batch refreshes.

Replication and sync

Mirror database rows to analytics stores using CDC while minimizing impact on OLTP systems.

Event-driven automation

Drive webhooks and downstream jobs when high-value events pass quality checks in-stream.

Data lake hydration

Continuously land raw and conformed topics into object storage or lakehouse tables for downstream batch consolidation.

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How streaming fits batch work

Many teams run streaming for freshness and batch for reconciliation: nightly jobs compare stream-loaded tables to source-of-truth snapshots and repair drift. Planasonix lets you reference the same connections and schemas in both worlds.

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Next steps

1

Pick a source

Review CDC sources for databases and buses your estate uses.
2

Design processing

Read Stream processing for windows, transforms, and node patterns.
3

Observe and alert

Attach alerts to lag, error rate, and consumer health metrics.