Best Security Data Pipelines

Microsoft analytics service for large-scale telemetry and log analytics on Azure. Strong where the estate is already Azure-centric.

Microsoft's fast data analytics service for real-time analysis of streaming security data

An AI-native approach to security data engineering, automating much of the routing and transformation work. An early-stage entrant in the cost-reduction space.

AI-powered security data pipeline for intelligent log ingestion, enrichment, and routing at scale

The market-leading observability and security data pipeline. Routes, reduces and transforms telemetry to any destination with broad source and sink support. The incumbent most teams compare alternatives against.

Security data pipeline platform for routing, reducing, and transforming observability data

Native to the Datadog platform, processing logs and metrics before ingestion. Convenient and well-integrated if you already run Datadog, though less vendor-neutral than standalone pipelines.

Managed observability pipeline for routing and transforming telemetry data at scale

A widely used CNCF open-source log collector with a large plugin ecosystem. Mature and ubiquitous, often paired with a commercial pipeline for managed routing.

Open-source unified data collector and log aggregator from the CNCF ecosystem

Combines log management with a telemetry pipeline, with responsive routing, filtering and transformation. A good fit for teams that want both in one product.

Log management and observability pipeline platform with intelligent data routing

An AI-native pipeline that automatically shapes and reduces telemetry to cut SIEM and storage cost. A newer challenger focused on automation over manual rule-writing.

AI-powered security data pipeline for intelligent data optimization and cost reduction

Filters and routes security telemetry for the SOC, aiming to cut SIEM cost and noise while improving detection-data quality. AI-native, focused squarely on security use cases.

Security data fabric platform for intelligent routing and optimization of security telemetry

A 2024 entrant using an AI agent to filter telemetry before ingestion, built on the OpenTelemetry Collector to stay vendor-neutral and cut observability spend.

AI telemetry pipeline that filters and optimises logs, metrics and traces pre-ingestion to cut observability cost.

Splunk Data Stream Processor handles streaming transformation and routing, a native fit for organisations already standardised on Splunk.

Splunk's real-time stream processing engine for data optimization and routing

An open-source data pipeline built specifically for security and SOC workflows, with a security-data-first design.

Open-source security data pipeline with native support for security-specific data formats

A high-performance open-source pipeline (originally by Datadog). Vendor-neutral routing and transformation with no licence cost, in exchange for running it yourself.

High-performance open-source observability pipeline built in Rust by Datadog