Vector
Vector is an open-source observability data pipeline project maintained by Datadog, the publicly traded monitoring and security platform (NASDAQ: DDOG).
Profile
Vector is an open-source tool that collects, transforms, and routes log and metric data from various sources to any destination, helping organizations control their observability pipelines.
Vector is an open-source observability data pipeline project maintained by Datadog, the publicly traded monitoring and security platform (NASDAQ: DDOG). Originally created by Timber, a startup later acquired by Datadog in 2021 for an undisclosed sum, Vector was designed to give users control over their telemetry data before it reaches vendor platforms. The project is written in Rust and positions itself as a lightweight, ultra-fast tool for collecting, transforming, and routing logs and metrics.
As of June 2026, Vector has over 22,000 GitHub stars, 2,200 forks, and 13,763 commits on its master branch, with the latest version being 0.56.0. Datadog uses Vector as the core of its Observability Pipelines product, which ingests trillions of data points per day from millions of customer hosts. The project is led by maintainers including Jesse Szwedko and original author Luke Steenseen, who have focused on improving performance, internal observability, and integrations.
Vector supports deployment as a daemon, sidecar, or aggregator, and offers a programmable transform language called Vector Remap Language (VRL). It competes with tools like Fluentd, Logstash, and Grepr, though Grepr's own comparison blog positions Vector as a more established but heavier alternative. The project has no disclosed standalone revenue or funding rounds, as it is not a separate company but an open-source project under Datadog.
There are no recent reports of layoffs, funding events, or acquisitions specific to Vector in the past year. The project's main risk is its dependency on Datadog's corporate priorities, which could shift focus away from community needs. Vector's future roadmap includes a plugin system to enhance modularity while maintaining performance.
Who buys this
- DevOps and platform engineering teams managing observability infrastructure
- Organizations seeking to reduce vendor lock-in with legacy monitoring tools
- Companies with high-volume telemetry data needing cost control through sampling and filtering
- Kubernetes-native environments requiring log and metric collection from clusters
- Enterprises migrating from legacy log shippers like Logstash or Fluentd
Strengths and what to watch
Strengths
- Built in Rust, Vector is designed for high performance and low memory footprint, handling trillions of data points per day in Datadog's infrastructure.
- Vendor-neutral architecture allows routing data to multiple destinations (e.g., Datadog, Elasticsearch, AWS S3, Kafka) without favoring any single platform.
- Active open-source community with over 22,000 GitHub stars, frequent releases (version 0.56.0 as of June 2026), and a clear roadmap including a plugin system.
Watch for
- Vector is maintained by Datadog, which may prioritize features for its commercial Observability Pipelines product over community needs, potentially alienating non-Datadog users.
- The project faces competition from newer entrants like Grepr, which claim lighter weight and easier setup, though Vector's maturity and ecosystem are advantages.
- No independent revenue or funding data exists for Vector as a standalone entity, making its long-term viability dependent on Datadog's corporate strategy and budget.
Key Information
- Industry
- Logging & Monitoring
- Founded
- 1986
Frequently Asked Questions
What is Vector and what does it do?
Vector is an open-source tool that collects, transforms, and routes log and metric data from various sources to any destination. It helps organizations control their observability pipelines by managing telemetry data before it reaches vendor platforms.
Is Vector owned by Datadog?
Yes, Vector is maintained by Datadog, a publicly traded monitoring platform. Originally created by Timber, which Datadog acquired in 2021, Vector now powers Datadog's Observability Pipelines product and ingests trillions of data points per day from millions of customer hosts.
How does Vector compare to Fluentd or Logstash?
Vector competes with tools like Fluentd and Logstash as an observability data pipeline. Built in Rust, it offers high performance and low memory footprint. It supports deployment as a daemon, sidecar, or aggregator and uses a programmable transform language called VRL.
What are Vector's main features?
Vector is lightweight and ultra-fast, written in Rust. It supports collecting, transforming, and routing logs and metrics. It offers vendor-neutral architecture, programmable transforms via VRL, and deployment as a daemon, sidecar, or aggregator. It has over 22,000 GitHub stars as of June 2026.
Who uses Vector?
Vector is used by DevOps and platform engineering teams managing observability infrastructure, organizations reducing vendor lock-in, companies with high-volume telemetry data needing cost control, Kubernetes-native environments, and enterprises migrating from legacy log shippers like Logstash or Fluentd.
What are the risks of using Vector?
Vector's main risk is its dependency on Datadog's corporate priorities, which could shift focus away from community needs. It also faces competition from newer entrants like Grepr, which claim lighter weight. No independent revenue data exists, so long-term viability depends on Datadog's strategy.
Sources
- github.com — Project repository details: 22k stars, 2.2k forks, 13,763 commits, latest version 0.56.0, and maintainer activity as of June 5, 2026.
- vector.dev — Official product description: lightweight, ultra-fast tool for building observability pipelines, supporting logs and metrics, with deployment roles and VRL language.
- opensource.datadoghq.com — Datadog's open-source page confirms Vector powers Datadog Observability Pipelines, ingests trillions of data points per day, and includes maintainer interviews with Luke Steenseen and Jesse Szwedko.
- www.grepr.ai — Competitor comparison blog positions Vector as an established but heavier alternative to Grepr, indicating market competition.