Security Data Pipeline: 12 Tools compared

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.

Cribl Stream is a security data pipeline platform that gives organizations control over their observability and security data. It routes, reduces, transforms, and enriches data in flight between any source and any destination, helping teams optimize data volumes, reduce SIEM costs, and build flexible data architectures. Cribl enables security teams to send the right data to the right destination at the right time, eliminating vendor lock-in and reducing total data management costs.

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.

Observo AI is an AI-powered security data pipeline that uses machine learning to automatically optimize, route, and transform security telemetry data. It focuses on intelligent data reduction by identifying and removing low-value data while preserving security-relevant signals, helping organizations reduce SIEM costs without sacrificing detection coverage or compliance requirements.

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 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.