Observability Pipelines: 7 Tools compared
General-purpose telemetry pipelines that route, filter and transform logs, metrics and traces before they reach a backend. These tools carry security data but are not sold specifically for security operations; vendors positioning their…
Quick comparison
All observability pipelines tools side by side, alphabetical.
| Tool | Deployment | Pricing model | Open source | Standards / certs |
|---|---|---|---|---|
| Azure Data Explorer | Cloud | Consumption-based (compute + storage) | — | — |
| Datadog Observability Pipelines | Cloud + Self-hosted | Volume-based (per GB processed) | — | — |
| Fluentd | Self-hosted | Open source | Yes | — |
| Mezmo | Cloud | Ingest-based (per GB) | — | SOC 2 Type IIISO 27001HIPAA |
| Sawmills | Cloud + Self-hosted | Usage-based (ingest volume; annual commitment) | — | — |
| Splunk Data Stream Processor | Cloud | Bundled with Splunk licensing | — | — |
| Vector | Self-hosted | Open source | Yes | — |
Azure Data Explorer
Observability PipelinesMicrosoft-centric organizations wanting a scalable security data lake with powerful KQL analytics at lower cost than SIEM
Azure Data Explorer (ADX) is a fast, fully managed data analytics service from Microsoft designed for real-time analysis of large volumes of streaming data. While primarily a data analytics platform, ADX is increasingly used as a security data pipeline and lake for organizations that want to store, query, and analyze security telemetry at scale with Kusto Query Language (KQL), the same query language used by Microsoft Sentinel.
Datadog Observability Pipelines
Observability PipelinesOrganizations already using Datadog that want managed pipeline capabilities with enterprise support and monitoring
Datadog Observability Pipelines is a data routing and transformation tool that allows organizations to collect, transform, and route observability data from any source to any destination. Built on the open-source Vector project, it provides a managed pipeline experience with Datadog's enterprise support, monitoring, and integration ecosystem. It helps teams control data volumes and costs while maintaining visibility across their infrastructure.
Fluentd
Observability PipelinesCloud-native teams wanting a lightweight, proven open-source data collector with a massive plugin ecosystem
Fluentd is an open-source data collector that unifies data collection and consumption for better use and understanding of data. A CNCF graduated project, Fluentd provides a unified logging layer that allows you to collect data from multiple sources, transform it, and route it to various destinations. Its plugin-based architecture and lightweight footprint make it a popular choice for containerized and cloud-native environments.
Mezmo
Observability PipelinesTeams wanting combined log management and pipeline capabilities with a developer-friendly experience
Mezmo (formerly LogDNA) is a log management and observability pipeline platform that helps teams collect, process, route, and analyze log data at scale. Its Telemetry Pipeline product provides real-time data routing and transformation capabilities, enabling organizations to control where their data goes and how it is shaped before reaching downstream destinations like SIEMs, data lakes, and monitoring tools.
Sawmills
Observability PipelinesTeams on Datadog, Splunk or similar that want to cut observability cost by filtering and optimising telemetry before ingestion
Sawmills is an AI-driven (agentic) telemetry pipeline that sits upstream of your observability backend and processes logs, metrics and traces in real time before they are ingested. It filters, transforms and improves the quality of telemetry pre-ingestion to cut observability spend, and is built on the OpenTelemetry Collector so it works alongside tools like Datadog and Splunk rather than replacing them.
Splunk Data Stream Processor
Observability PipelinesExisting Splunk customers wanting to optimize data flows and reduce ingest costs within the Splunk ecosystem
Splunk Data Stream Processor (DSP) is Splunk's real-time stream processing engine designed to collect, process, and deliver data at scale. Built on Apache Flink, DSP enables organizations to filter, mask, enrich, and route data in real time before it reaches Splunk or other destinations. It is positioned as a complement to Splunk Enterprise for organizations that need to optimize data flows and reduce ingest costs.
Vector
Observability PipelinesTeams wanting the highest-performance open-source pipeline with Rust-based reliability for high-throughput data routing
Vector is a high-performance, open-source observability data pipeline built in Rust. Originally created by Timber.io and now maintained by Datadog, Vector collects, transforms, and routes all log, metric, and trace data with a focus on reliability and performance. Its Rust-based architecture delivers significantly better performance than alternatives written in higher-level languages, making it ideal for high-throughput environments.
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Observability Pipelines tools, listed alphabetically and compared on public information. How we work →