Splunk Data Stream Processor vs Tenzir

Splunk Data Stream Processor and Tenzir are both enterprise data pipeline solutions. Splunk Data Stream Processor splunk's real-time stream processing engine for data optimization and routing, while Tenzir open-source security data pipeline with native support for security-specific data formats. The best choice depends on your organization's size, technical requirements, and budget.

Choose Splunk Data Stream Processor if tight integration with Splunk ecosystem is your priority and existing Splunk customers wanting to optimize data flows and reduce ingest costs within the Splunk ecosystem. Choose Tenzir if fully open-source with transparent codebase matters most and security teams wanting an open-source, security-native data pipeline with transparent code and no vendor lock-in.

Tenzir starts at Free (open source) / Enterprise support available (open source with commercial support). Splunk Data Stream Processor starts at Included with Splunk Cloud / Enterprise add-on pricing (bundled with splunk licensing). 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 Splunk Data Stream Processor is embedded in your stack. Most teams run both in parallel for a few weeks before cutting over. Check whether Tenzir supports importing your existing configs or policies. That's usually the biggest time sink.