Vector
Vector is an open-source, Rust-based observability pipeline tool maintained by Datadog that collects, transforms, and routes logs, metrics, and traces via a single binary. It serves DevOps, platform engineering, and SRE teams globally and is monetized indirectly through Datadog Observability Pipelines.
- Company typePrivate
- Founded2019
- HeadquartersNew York, United States
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
What Vector does
Vector is an open-source observability pipeline platform that collects, transforms, and routes logs, metrics, and traces from a wide range of infrastructure and application sources to multiple downstream destinations. The core product is a single, dependency-free Rust binary that deploys as a daemon, sidecar, or aggregator and exposes approximately 47 sources, 18 transforms, and 62 sinks, including native connectors for Kubernetes, Docker, Kafka, Prometheus, OpenTelemetry, AWS, GCP, Azure, Elasticsearch, Splunk, ClickHouse, Databricks, and others. Programmable transformation is delivered through Vector Remap Language (VRL), a purpose-built expression-oriented DSL backed by a VM runtime since v0.21.0, supplemented by Lua scripting, enrichment tables (CSV, JSON, MMDB, memory), secrets backends (AWS Secrets Manager, file, directory, exec), adaptive concurrency control, and disk-backed buffering (disk_v2 default). Configuration is composable in YAML, TOML, or JSON with built-in unit testing.
The project is stewarded by Datadog's Community Open Source Engineering (COSE) team under the Mozilla Public License 2.0 and benefits from 300+ contributors, 13k+ GitHub stars, 30m+ downloads, and adoption across 40 countries. The business model is open-source product-led growth: the core software is free and distributed through direct download, package managers, Docker Hub, Helm charts, and GitHub releases, with no registration or payment required. Commercial monetization occurs indirectly through Datadog Observability Pipelines, a managed offering built on Vector that adds enterprise setup, monitoring, and change management on top of the same engine. Vector itself is therefore best understood as a Datadog-owned open-source platform with a freemium-to-managed commercialization path rather than an independent revenue-generating company.
Vector firmographics
Firmographics- Name
- Vector
- Legal name
- Vector (operated by Datadog, Inc.)
- Website
- https://vector.dev
- Company type
- Private
- Founded year
- 2019
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Short description
- Vector is an open-source, Rust-based observability pipeline tool maintained by Datadog that collects, transforms, and routes logs, metrics, and traces via a single binary. It serves DevOps, platform engineering, and SRE teams globally and is monetized indirectly through Datadog Observability Pipelines.
- Ownership category
- akta.pro rank
Vector industry classification
Industry- Product category
- Observability Pipeline Software
- NAICS
- Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (51821)
- SIC
- Services-Computer Programming, Data Processing, Etc. (7370)
- akta.pro primary industry
- Distributed Tracing (HDABAJAD)
Keywords
Where Vector is headquartered
LocationHeadquarters
- HQ city
- New York
- HQ country
- United States
- HQ region
- North America
Offices1 record
Markets served
Vector business model
Business model- GTM type
- B2B
- Offering type
- Software
Revenue model
- Open Source Core Software: Vector core is free and open-source under the Mozilla Public License 2.0 (MPL 2.0). The source code is publicly available on GitHub with no direct revenue generated from the open-source software itself.
- Datadog Observability Pipelines (Commercial Layer): Datadog offers Observability Pipelines as a commercial product built on Vector, providing streamlined setup, out-of-the-box monitoring, and change management features for enterprise customers wanting a managed solution.
Go-to-market motion1 record
Distribution channels5 records
Marketing channels6 records
Vector product offering
Product offeringCore offering
Vector is an open-source, high-performance observability pipeline tool built in Rust that collects, transforms, and routes logs and metrics from on-premise and cloud environments. It is distributed as a single dependency-free binary and exposes approximately 47 sources, 18 transforms, and 62 sinks, with programmable data transformation enabled by the Vector Remap Language (VRL), a purpose-built domain-specific language for safe and performant event processing.
Product overview
Vector is an open-source observability pipeline platform that provides a unified solution for collecting, transforming, and routing logs and metrics. The core Vector product is a single lightweight Rust binary supporting approximately 47 sources, 18 transforms, and 62 sinks for comprehensive observability data processing. Key components include Vector Remap Language (VRL), a custom DSL for event transformation; Vector CLI tools (top, tap, test, validate); the Vector Observability API (gRPC-based as of v0.55.0); and the Vector Configuration System supporting YAML/TOML/JSON. Deployment flexibility includes daemon, sidecar, and aggregator roles with native support for Kubernetes via Helm charts. The platform integrates with Datadog Observability Pipelines for commercial enterprise support, and includes enterprise-grade features like secrets management (AWS Secrets Manager, file, directory, exec backends), buffering with disk_v2 as default, enrichment tables for data augmentation, and comprehensive unit testing capabilities.
Differentiator
Problem solved
Functional benefit
Products and services
- Vector A lightweight, ultra-fast open-source tool for building observability pipelines. Built in Rust for memory efficiency and safety, Vector collects, transforms, and routes logs and metrics with a single binary deployment model supporting 47 sources, 18 transforms, and 62 sinks. Licensed under Mozilla Public License 2.0.
- Datadog Observability Pipelines A commercial managed offering by Datadog built on top of Vector, providing streamlined setup, out-of-the-box monitoring, and change management features for enterprise customers wanting a guided, managed observability pipeline solution.
Quantifiable outcome
- Performance improvements of 10-100% compared to previous releases as documented in version release notes
Companies that use Vector
Customer profileSegments2 records
Ideal customer profiles3 records
Vector technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration60 records
AI capability6 records
Feature6 records
Vector partnerships and signals
Strategic signalPartnerships
One partnership is on record.
- Datadog, Inc.coreVector is an open-source observability pipeline project maintained by Datadog, Inc. The copyright on the Vector website footer is owned by Datadog, Inc. (© 2026 Datadog, Inc.). The Vector project is referred to as being maintained by the 'COSE team' (Community Open Source Engineering team) at Datadog. Datadog offers 'Observability Pipelines' as a commercial product built on Vector, providing managed setup and monitoring capabilities.
Scale indicators4 records
Recent moves6 records
Expansion highlights5 records
Vector competitors and assessment
Company assessmentBroad incumbents
- Splunk: Splunk (with its forwarders and HEC) provides log collection, indexing, and search as a broad observability platform — Vector integrates with Splunk as both a source and sink, and competes with Splunk's proprietary agents as a vendor-neutral alternative.
- Grafana (Loki/Mimir): Grafana's Loki and Mimir products form a broad open observability stack for logs and metrics; Vector has first-party Loki sinks and is positioned as the recommended collection/transform layer feeding these platforms.
- Elastic (ELK): Elastic (Elasticsearch/Logstash/Kibana/Beats) is a broader observability and search platform; Beats/Filebeat overlap with Vector's host-level log collection, and both products co-exist in many customer stacks.
- Datadog: Datadog is both Vector's parent company and a broad observability incumbent offering logs, metrics, traces, APM, and the commercial Datadog Observability Pipelines product built directly on Vector, giving substantial product and distribution overlap.
Direct peers
- Fluentd: Fluentd is an open-source log collector/aggregator with a plugin-based source/filter/output architecture that overlaps directly with Vector's log-pipeline functionality; both target the same DevOps persona and serve as interchangeable components in observability stacks.
- Cribl: Cribl (Cribl Stream) is the most direct commercial competitor to Vector, offering a vendor-neutral observability pipeline product for routing, transforming, and enriching logs and metrics — addressing the same DevOps/SRE buyer with a managed SaaS or on-prem deployment.
- Logstash: Logstash is the open-source server-side data processing pipeline from the Elastic ecosystem that ingests, transforms, and ships logs/metrics — Vector explicitly positions against Logstash on performance and resource efficiency, making them direct substitutes.
- Fluent Bit: Fluent Bit is a lightweight, open-source log/metrics processor and the most functionally similar direct competitor to Vector — both emphasize low-resource footprint, Kubernetes-native deployment, and a multi-source/multi-sink architecture.
Emerging players
- OpenTelemetry (CNCF): OpenTelemetry is the CNCF-standard, vendor-neutral framework for generating and collecting telemetry; Vector both ingests OTLP and ships logs/metrics/traces through it, making it a complementary data-plane peer in the same observability stack.
- Prometheus: Prometheus is the open-source metrics standard with native scraping and remote-write capabilities; Vector includes first-class Prometheus sources and remote_write sinks, placing it as a complementary — and for some teams substitute — data collection layer.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks6 records
Key highlights7 records
Customer concentration
Vector social profiles
Digital presenceVector financial estimates
Financial estimateRevenue estimate
Valuation estimate
Vector leadership team
Management profileNumber of profiles
Vector funding detail
Funding detailFunding overview
Funding rounds
Investors
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Vector M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Vector
What does Vector do?
Vector is an open-source, high-performance observability pipeline tool built in Rust that collects, transforms, and routes logs and metrics from on-premise and cloud environments. It is distributed as a single dependency-free binary and exposes approximately 47 sources, 18 transforms, and 62 sinks, with programmable data transformation enabled by the Vector Remap Language (VRL), a purpose-built domain-specific language for safe and performant event processing.
Is Vector a public or private company?
Vector is a private company. It is classified as corporate owned and is currently operating.
When was Vector founded?
Vector was founded in 2019. It employs 11 to 50 people.
Where is Vector based?
Vector is headquartered in New York, United States, in the North America region.
How does Vector make money?
Two revenue lines are on record. Open Source Core Software is the primary driver. The others are datadog Observability Pipelines (Commercial Layer).
Who are Vector's main competitors?
Broad incumbents on record are Splunk, Grafana (Loki/Mimir), Elastic (ELK) and Datadog. Direct peers are Fluentd, Cribl, Logstash and Fluent Bit. Emerging players are OpenTelemetry (CNCF) and Prometheus.
Does Vector have an API?
Yes. Vector provides a gRPC API for interacting with running Vector instances. The API allows monitoring component topology and metrics, streaming events through the pipeline (tap functionality), and health checking. API configuration includes enabling/disabling the API and setting the bind address. HTTP health endpoints are preserved for compatibility with earlier versions and existing probes (Kubernetes, AWS ALB). As of version 0.55.0, the API switched from GraphQL to gRPC. Developer documentation is at vector.dev/docs/reference/api.
What industry is Vector in?
Vector's product category is Observability Pipeline Software. Its primary akta.pro industry code is HDABAJAD, Distributed Tracing. Its NAICS code is 51821 and its SIC code is 7370.