{"data":{"slug":"vectordotdev-vector","name":"vector","tagline":"A high-performance observability data pipeline","github_url":"https://github.com/vectordotdev/vector","owner":"vectordotdev","repo":"vector","owner_avatar_url":"https://avatars.githubusercontent.com/u/16866914?v=4","primary_language":"Rust","stars":22396,"forks":2258,"topics":["agent","cloud-native","data-transformation","datadog","etl","events","forwarder","hacktoberfest","high-performance","logs","metrics","monitoring","observability","pipelines","rust-lang","stream-processing","telemetry","traces"],"archived":false,"github_pushed_at":"2026-08-18T21:55:24+00:00","maintenance_label":"Very active","stars_delta_30d":198,"url":"https://www.graphcanon.com/tools/vectordotdev-vector","markdown_url":"https://www.graphcanon.com/tools/vectordotdev-vector.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/vectordotdev-vector","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=vectordotdev-vector","description":"A high-performance observability data pipeline.","homepage_url":"https://vector.dev","license":"MPL-2.0","open_issues":2518,"watchers":151,"ai_summary":"Vector is a robust, open-source tool for collecting, transforming, and routing observability data. It supports logs and metrics with ongoing support for traces and aims to provide significant cost reductions and enhanced security.","readme_excerpt":"<p align=\"center\">\n  <img src=\"website/static/img/diagram.svg\" alt=\"Vector\">\n</p>\n\n<p align=\"center\">\n  <strong>\n    <a href=\"https://vector.dev/docs/setup/quickstart/\">Quickstart</a>&nbsp;&nbsp;&bull;&nbsp;&nbsp;\n    <a href=\"https://vector.dev/docs/\">Docs</a>&nbsp;&nbsp;&bull;&nbsp;&nbsp;\n    <a href=\"https://vector.dev/guides/\">Guides</a>&nbsp;&nbsp;&bull;&nbsp;&nbsp;\n    <a href=\"https://vector.dev/components/\">Integrations</a>&nbsp;&nbsp;&bull;&nbsp;&nbsp;\n    <a href=\"https://chat.vector.dev\">Chat</a>&nbsp;&nbsp;&bull;&nbsp;&nbsp;\n    <a href=\"https://vector.dev/releases/latest/download/\">Download</a>&nbsp;&nbsp;&bull;&nbsp;&nbsp;\n    <a href=\"https://github.com/vectordotdev/vector/pkgs/container/vector\">Container Images</a>&nbsp;&nbsp;&bull;&nbsp;&nbsp;\n    <a href=\"https://rust-doc.vector.dev/\">Rust Crate Docs</a>\n  </strong>\n</p>\n\n## What is Vector?\n\nVector is a high-performance, end-to-end (agent & aggregator) observability data\npipeline that puts you in control of your observability data.\n[Collect][docs.sources], [transform][docs.transforms], and [route][docs.sinks]\nall your logs and metrics to any vendors you want today and any other\nvendors you may want tomorrow. Vector enables dramatic cost reduction, novel\ndata enrichment, and data security where you need it, not where it is most\nconvenient for your vendors. Additionally, it is open source and up to 10x\nfaster than every alternative in the space.\n\nTo get started, follow our [**quickstart guide**][docs.quickstart] or [**install\nVector**][docs.installation].\n\nVector is maintained by Datadog's [Community Open Source Engineering team](https://opensource.datadoghq.com/about/#the-community-open-source-engineering-team).\n\n### Principles\n\n* **Reliable** - Built in [Rust][urls.rust], Vector's primary design goal is reliability.\n* **End-to-end** - Deploys as an [agent][docs.roles#agent] or [aggregator][docs.roles#aggregator]. Vector is a complete platform.\n* **Unified** - [Logs][docs.data-model.log], [metrics][docs.data-model.metric] (beta), and traces (coming soon). One tool for all of your data.\n\n### Use cases\n\n* Reduce total observability costs.\n* Transition vendors without disrupting workflows.\n* Enhance data quality and improve insights.\n* Consolidate agents and eliminate agent fatigue.\n* Improve overall observability performance and reliability.\n\n### Community\n\n* Vector is relied on by startups and enterprises like **Atlassian**, **T-Mobile**,\n  **Comcast**, **Zendesk**, **Discord**, **Fastly**, **CVS**, **Trivago**,\n  **Tuple**, **Douban**, **Visa**, **Mambu**, **Blockfi**, **Claranet**,\n  **Instacart**, **Forcepoint**, and [many more][urls.production_users].\n* Vector is **downloaded over 100,000 times per day**.\n* Vector's largest user **processes over 500TB daily**.\n* Vector has **over 500 contributors** and growing.\n\n## Documentation\n\nAll user documentation is available at **[vector.dev/docs](https://vector.dev/docs)**.\n\nOther Resources:\n\n* [**Vector Calendar**][urls.vector_calendar]\n* **Policies**:\n  * [**Code of Conduct**][urls.vector_code_of_conduct]\n  * [**Contributing**][urls.vector_contributing_policy]\n  * [**Privacy**][urls.vector_privacy_policy]\n  * [**Releases**][urls.vector_releases_policy]\n  * [**Versioning**][urls.vector_versioning_policy]\n  * [**Security**][urls.vector_security_policy]\n\n## Comparisons\n\n### Performance\n\nThe following performance tests demonstrate baseline performance between\ncommon protocols with the exception of the Regex Parsing test.\n\n| Test                                                                                                                   | Vector          | Filebeat | FluentBit       | FluentD   | Logstash  | SplunkUF        | SplunkHF |\n| ---------------------------------------------------------------------------------------------------------------------- | --------------- | -------- | --------------- | --------- | --------- | --------------- | -------- |\n| [TCP to Blackhole](https://github.com/vectordotdev/vector","github_created_at":"2018-08-27T16:57:34+00:00","created_at":"2026-07-07T17:38:29.626595+00:00","updated_at":"2026-08-19T00:01:33.52723+00:00","categories":[{"slug":"evaluation-observability","name":"Evaluation & Observability","url":"https://www.graphcanon.com/categories/evaluation-observability","markdown_url":"https://www.graphcanon.com/categories/evaluation-observability.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/evaluation-observability"}],"tags":[{"slug":"agent","name":"agent"},{"slug":"cloud-native","name":"cloud-native"},{"slug":"data-transformation","name":"data-transformation"},{"slug":"etl","name":"etl"},{"slug":"high-performance","name":"high-performance"},{"slug":"logs","name":"logs"},{"slug":"metrics","name":"metrics"},{"slug":"monitoring","name":"monitoring"}],"trust":{"provenance":{"is_fork":false,"github_id":146327667,"owner_type":"Organization","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-08-19T00:01:32.630Z","maintenance":{"label":"Very active","score":96,"methodology":"github_public_v1","releases_90d":5,"days_since_push":0,"last_release_at":"2026-08-18T20:43:28Z","stars_delta_30d":198,"open_issues_delta_30d":23},"security_summary":{"status":"no_lockfile","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-07-11T11:12:17.486Z","medium_count":0,"scan_profile":"none","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-08-19T00:01:33.160Z"},"languages":{"value":["rust"],"source":"github.language","observed_at":"2026-08-19T00:01:33.160Z"},"license_spdx":{"value":"MPL-2.0","source":"github.license","observed_at":"2026-08-19T00:01:33.160Z"}},"decision_facts":{"hosting":null,"pricing":null,"requirements":null,"constraints":null,"when_to_use":["When you need an end-to-end (agent & aggregator) solution to manage all your logs and metrics.","To consolidate multiple agents into a single tool for reducing agent fatigue and lowering costs.","For high-performance requirements where Vector's Rust implementation provides up to 10x faster performance than alternatives."],"when_not_to_use":["If you require immediate trace support, as it is still in the beta stage.","When your setup only needs basic data observability and doesn't benefit from advanced enrichment or security features offered by Vector."],"source":"enrich:decision_facts","observed_at":"2026-07-11T14:01:49.331Z"},"constraint_facets":null,"decision_summary":[{"label":"Adopt for","value":"Vector is a high-performance observability data pipeline that supports logs, metrics, and traces in Rust. It enables cost reduction, enhanced security, and data enrichment for unified management."}]}}