Datadog Observability Pipelines vs Splunk Data Stream Processor

Datadog Observability Pipelines and Splunk Data Stream Processor are both cloud data pipeline solutions. Datadog Observability Pipelines managed observability pipeline for routing and transforming telemetry data at scale, while Splunk Data Stream Processor splunk's real-time stream processing engine for data optimization and routing. The best choice depends on your organization's size, technical requirements, and budget.

Choose Datadog Observability Pipelines if tight integration with Datadog ecosystem is your priority and organizations already using Datadog that want managed pipeline capabilities with enterprise support and monitoring. Choose Splunk Data Stream Processor if tight integration with Splunk ecosystem matters most and existing Splunk customers wanting to optimize data flows and reduce ingest costs within the Splunk ecosystem.

Splunk Data Stream Processor starts at Included with Splunk Cloud / Enterprise add-on pricing (bundled with splunk licensing). Datadog Observability Pipelines starts at From $0.10/GB processed / Enterprise custom (volume-based (per gb processed)). As always, the sticker price only tells part of the story. Factor in add-ons, implementation costs, and what's actually included at each tier.

It depends on how deeply Datadog Observability Pipelines is embedded in your stack. Most teams run both in parallel for a few weeks before cutting over. Check whether Splunk Data Stream Processor supports importing your existing configs or policies. That's usually the biggest time sink.