Vector

Input—per 1M tokens

Output—per 1M tokens

Context—tokens

WeightsClosed

About

Vector is ranked #9 of 27 in telemetry pipeline software on Inferse. It runs on Linux, macOS, Self-hosted, Windows.

Compared on telemetry pipeline software

Logs support: Yesvector.dev
Metrics support: Yesvector.dev
Traces support: Yesvector.dev
Transform rules: Yesvector.dev
Multi-destination routing: Yesvector.dev
Data enrichment: Yesvector.dev
Deployment model: self_hostedvector.dev

Facts

Purpose: Vector collects, transforms, and routes logs and metrics as an observability pipeline.vector.dev · 30 Sept 2026
Performance: The site says Vector is built in Rust and designed to be fast, memory efficient, and handle demanding workloads.vector.dev · 30 Sept 2026
Deployment: Vector can be deployed as a daemon, sidecar, or aggregator, with distributed, centralized, and stream-based topologies.vector.dev · 30 Sept 2026
Vendor neutrality: The site describes Vector as vendor neutral and lock-in free.vector.dev · 30 Sept 2026
Transforms: Vector supports programmable transforms, including remapping with VRL, aggregation, deduplication, filtering, and Lua.vector.dev · 30 Sept 2026
Configuration: Pipeline configuration supports YAML, TOML, and JSON.vector.dev · 30 Sept 2026
Integrations: The homepage lists 47 sources, 18 transforms, and 61 sinks, including AWS, Datadog, Kafka, Elasticsearch, and Splunk examples.vector.dev · 30 Sept 2026
Privacy processing: A homepage example uses a remap transform to redact US Social Security numbers from incoming logs.vector.dev · 30 Sept 2026
Delivery guarantees: Vector documents its delivery guarantees and trade-offs for users to consider when choosing a configuration.vector.dev · 30 Sept 2026
Packaging: Vector is packaged as a single binary with no dependencies or runtime, and the homepage describes it as memory safe.vector.dev · 30 Sept 2026
Operating systems: The download page offers Linux, macOS, and Windows builds, plus packages for multiple Linux distributions.vector.dev · 30 Sept 2026
Container platforms: The download page lists Docker and Kubernetes under platforms.vector.dev · 30 Sept 2026
License: The download page lists the MPL 2.0 license for releases.vector.dev · 30 Sept 2026
Community support: The site links to community support through Discord and the GitHub repository.vector.dev · 30 Sept 2026
Release caution: The download page says nightly versions contain bleeding-edge changes that may contain bugs and advises caution.vector.dev · 30 Sept 2026
Purpose: Vector is an open-source observability data pipeline for collecting, transforming, and routing logs, metrics, and traces.vector.dev · 30 Sept 2026
Pipeline components: Vector's components page lists 47 sources, 18 transforms, and 61 sinks.vector.dev · 30 Sept 2026
Processing: Vector Remap Language can modify observability data as it passes through a topology.vector.dev · 30 Sept 2026
Integrations: Listed sources and sinks include Kafka, Kubernetes, AWS, Datadog, Splunk, Elasticsearch, and OpenTelemetry.vector.dev · 30 Sept 2026
Containers: The documentation lists Docker and Kubernetes as deployment platforms.vector.dev · 30 Sept 2026
Security: The introduction describes Vector as memory safe and built in Rust.vector.dev · 30 Sept 2026
Delivery limitation: Vector does not support exactly-once delivery.vector.dev · 30 Sept 2026
API security: The observability API does not support authentication and the documentation warns against exposing it to untrusted clients.vector.dev · 30 Sept 2026
Support: The community page directs users to Discord chat for questions and help.vector.dev · 30 Sept 2026
Audience: The introduction says Vector is used by organizations including T-Mobile, Comcast, Zendesk, and Discord to control their observability data.vector.dev · 30 Sept 2026