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Vector

Free plan LinuxMacSelf-hostedWindows

What Vector is

Vector is a free, open-source observability pipeline for collecting, transforming, and routing logs and metrics, with traces also listed as supported. It can run as a daemon, sidecar, or aggregator in distributed, centralized, or stream-based topologies. Configuration supports YAML, TOML, and JSON. Programmable processing includes Vector Remap Language, aggregation, deduplication, filtering, and Lua. The component catalog lists 47 sources, 18 transforms, and 61 sinks, with examples including AWS, Datadog, Kafka, Elasticsearch, and Splunk. Vector is built in Rust, described as memory safe and memory efficient, and packaged as one binary without dependencies or a runtime. Linux, macOS, and Windows builds are available, with Docker and Kubernetes listed as deployment platforms. Releases use the MPL 2.0 license, and community help is available through Discord and GitHub. Vector does not support exactly-once delivery, and its observability API lacks authentication.

Who it suits

Vector suits teams that want a self-hosted, vendor-neutral pipeline for logs, metrics, and traces across servers or containers.

What it does well

Free and open-source
Supports programmable data transformations
Offers many listed sources and sinks
Runs as a single dependency-free binary
Available for major desktop and server systems

What to know first

No exactly-once delivery
Observability API lacks authentication
Nightly builds may contain bugs
Requires self-hosted deployment

Limits

Vector does not provide exactly-once delivery. Its observability API does not support authentication and should not be exposed to untrusted clients.

Getting started

Open the Vector website
Choose a Linux, macOS, or Windows build
Install a package for your operating system, or use Docker or Kubernetes
Create pipeline configuration in YAML, TOML, or JSON
Deploy Vector as a daemon, sidecar, or aggregator
Use Discord or GitHub for community help

Verdict

Vector provides flexible collection, transformation, and routing with broad deployment options and integrations. Review its delivery guarantees and unauthenticated API before exposing it in production environments.

Questions

Is Vector free?

Yes. Vector is free and open source, and releases use the MPL 2.0 license.

Which platforms does Vector support?

Builds are offered for Linux, macOS, and Windows. Docker and Kubernetes are also listed as deployment platforms.

What data can Vector handle?

Vector supports logs, metrics, and traces, with routing to multiple destinations.

How many integrations are listed?

The component catalog lists 47 sources, 18 transforms, and 61 sinks.

Does Vector support exactly-once delivery?

No. Exactly-once delivery is not supported.

How can users get help?

The community page directs users to Discord chat and the GitHub repository.

Facts from Vector's own pages

API security: The observability API does not support authentication and the documentation warns against exposing it to untrusted clients. · 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
Community support: The site links to community support through Discord and the GitHub repository. · vector.dev, 30 Sept 2026
Configuration: Pipeline configuration supports YAML, TOML, and JSON. · vector.dev, 30 Sept 2026
Container platforms: The download page lists Docker and Kubernetes under platforms. · vector.dev, 30 Sept 2026
Containers: The documentation lists Docker and Kubernetes as deployment platforms. · 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
Delivery limitation: Vector does not support exactly-once delivery. · 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
Integrations: The homepage lists 47 sources, 18 transforms, and 61 sinks, including AWS, Datadog, Kafka, Elasticsearch, and Splunk examples. · vector.dev, 30 Sept 2026
License: The download page lists the MPL 2.0 license for releases. · 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
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
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
Pipeline components: Vector's components page lists 47 sources, 18 transforms, and 61 sinks. · 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
Processing: Vector Remap Language can modify observability data as it passes through a topology. · vector.dev, 30 Sept 2026
Purpose: Vector collects, transforms, and routes logs and metrics as an observability pipeline. · 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
Security: The introduction describes Vector as memory safe and built in Rust. · vector.dev, 30 Sept 2026
Support: The community page directs users to Discord chat for questions and help. · vector.dev, 30 Sept 2026
Transforms: Vector supports programmable transforms, including remapping with VRL, aggregation, deduplication, filtering, and Lua. · vector.dev, 30 Sept 2026
Vendor neutrality: The site describes Vector as vendor neutral and lock-in free. · vector.dev, 30 Sept 2026

Where Vector stands on Freedom251

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