A high-performance, end-to-end observability data pipeline for collecting, transforming, and routing logs and metrics.
Vector is a high-performance observability data pipeline that collects, transforms, and routes logs and metrics. It solves the problem of vendor lock-in and high costs by enabling users to send data to any observability platform while providing dramatic performance improvements and data security.
DevOps engineers, SREs, and platform teams managing observability stacks at scale, particularly those looking to reduce costs, improve performance, or transition between vendors without disruption.
Developers choose Vector for its exceptional performance (up to 10x faster than alternatives), vendor neutrality, and robust reliability due to being built in Rust. It consolidates multiple agents into a single, unified pipeline.
A high-performance observability data pipeline.
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Built in Rust, Vector consistently outperforms alternatives like Fluentd and Logstash in benchmarks, handling over 500TB daily for some users and claiming up to 10x speed improvements.
Routes data to any observability vendor, enabling cost reduction and avoiding lock-in, with a wide range of documented sinks for popular services.
Leverages Rust's memory safety for robust operation, offering delivery guarantees and excelling in correctness tests like disk buffer persistence and file rotation.
Processes logs, metrics (beta), and soon traces in one tool, reducing agent fatigue and simplifying observability stacks as an end-to-end platform.
Traces are listed as 'coming soon' and metrics are in beta, making it less suitable for teams needing a fully production-ready, unified pipeline today.
Relies on Vector Remap Language (VRL) for transformations, which has a steeper learning curve compared to simpler YAML or DSL configurations in tools like Fluent Bit.
While it offers many sources and sinks, it may lack some niche or vendor-specific plugins available in more mature projects like Fluentd or commercial agents.