Logstash
- Company typePublic
- Founded2012
- HeadquartersMountain View, United States
- Headcount251–500
- GTM typeB2B
- OfferingSoftware
What Logstash does
Logstash is an open-source, server-side data processing pipeline originally created in 2012 and now maintained by Elastic N.V. (NYSE: ESTC) as a core component of the Elastic Stack. It ingests events from a broad set of sources, transforms them through a configurable pipeline of inputs, filters, and outputs, and ships the results to destinations such as Elasticsearch. The product is written in Java on the JVM, exposes a plugin architecture with over 200 community and first-party plugins, and supports capabilities including grok-based parsing of unstructured logs, GeoIP enrichment, PII anonymization, a persistent queue for at-least-once delivery, a dead letter queue for error introspection, and an Elastic Common Schema for downstream interoperability.
Logstash firmographics
Firmographics- Name
- Logstash
- Legal name
- Elasticsearch B.V.
- Website
- https://logstash.net
- Company type
- Public
- Founded year
- 2012
- Operating status
- Operating
- Headcount range
- 251–500 employees
- Ownership category
- akta.pro rank
Logstash industry classification
Industry- Product category
- Data Processing Pipeline
- NAICS
- Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (518), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (5182)
- SIC
- Services-Computer Programming, Data Processing, Etc. (7370), Services-Computer Processing & Data Preparation (7374)
- akta.pro primary industry
- Log Management & Analytics (HDABAJAC)
- akta.pro secondary industry
- Log Management & Event Correlation (Syslog/SIEM-adjacent for Networks) (HDAFAMAN)
Keywords
Where Logstash is headquartered
LocationHeadquarters
- HQ city
- Mountain View
- HQ country
- United States
- HQ region
- North America
Markets served
Logstash business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Personnel, Infrastructure, Marketing or Sales, Operations
Revenue model
- Open Source Distribution: Logstash is free and open source under Apache 2.0 license. Users can download and self-manage without cost.
- Elastic Stack Subscriptions: Revenue generated through Elastic's commercial subscriptions for Elastic Stack deployments, which include Logstash along with Elasticsearch, Kibana, Beats, and support. Offered as Elastic Cloud (hosted) or self-managed with subscription.
- Elastic Cloud: Elastic Cloud Hosted and Serverless offerings provide managed Logstash and Elastic Stack deployments with zero operational overhead. Revenue from cloud consumption and subscription.
- Training & Certification: Elastic offers training courses and certification programs (e.g., Elastic Certified Engineer) for professionals working with the Elastic Stack.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Freemium | Others | Open Source - Free |
Go-to-market motion2 records
Distribution channels4 records
Marketing channels8 records
Logstash product offering
Product offeringCore offering
Logstash is an open-source server-side data processing pipeline that ingests data from multiple sources, parses and transforms it dynamically using an extensible plugin framework of over 200 plugins, and ships the processed data to a designated output destination such as Elasticsearch. It is delivered as a core component of the Elastic Stack and is available both as a free self-managed download under the Apache 2.0 license and as part of Elastic's commercial cloud-hosted and serverless offerings.
Product overview
Logstash is the open-source data processing pipeline component of the Elastic Stack, designed to ingest, transform, and ship data from multiple sources. The Elastic Stack platform comprises Elasticsearch (the distributed search and analytics engine), Kibana (visualization and dashboards), Beats and Elastic Agent (data shippers), and Logstash (server-side data processing). These products work together as an integrated platform: Beats/Elastic Agent collect data from edge sources, Logstash processes and transforms the data through its pluggable pipeline, Elasticsearch stores and indexes the results, and Kibana provides visualization and exploration. Logstash supports over 200 plugins for inputs, filters, and outputs, and offers deployment flexibility through Elastic Cloud (Serverless or Hosted) or self-managed options.
Differentiator
Problem solved
Functional benefit
Brands
- Elastic Stack: The complete Elastic platform comprising Elasticsearch, Kibana, Beats, and Logstash for search, analytics, and observability solutions.
Products and services
- Logstash Open-source server-side data processing pipeline that ingests data from multiple sources, transforms it dynamically, and sends it to a designated output destination. Supports over 200 plugins for inputs, filters, and outputs, providing at-least-once delivery with persistent queuing. Available free under Apache 2.0 license.
- Elastic Stack Unified platform comprising Elasticsearch (search and analytics engine), Kibana (visualization), Beats and Elastic Agent (data shippers), and Logstash (data processing pipeline) that work together to collect, store, search, analyze, and visualize data. Offered as self-managed or via Elastic Cloud with subscription support.
- Elastic Cloud Hosted Managed cloud deployment option providing the ability to deploy and scale the Elastic Stack including Logstash on any cloud with control, available through subscription and cloud consumption pricing.
- Elastic Cloud Serverless Zero-operational-load cloud deployment option that allows users to run Logstash and other Elastic products without managing infrastructure, available with free trial and consumption-based billing.
Quantifiable outcome
- Logstash is recognized as a leading open-source log analysis tool in 2026 comparisons
Companies that use Logstash
Customer profileNamed customers4 records
Segments3 records
Ideal customer profiles3 records
Logstash technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
Feature9 records
Logstash partnerships and signals
Strategic signalPartnerships
Four partnerships are on record, tiered core.
- AWScoreAWS is a cloud provider partner enabling deployment of Logstash and Elastic Stack via AWS Marketplace. Users can deploy Elastic solutions directly on AWS infrastructure with marketplace integration.
- AzurecoreAzure cloud marketplace integration for deploying Logstash and Elastic Stack. Enables users to deploy and scale on Azure cloud infrastructure.
- Google CloudcoreGoogle Cloud marketplace partner for Logstash and Elastic Stack deployment. Users can deploy on Google Cloud infrastructure with marketplace access.
- Jina AIcoreJina AI is part of Elastic, bringing best-in-class models for embeddings, rerankers, and URL and document extraction integrated into Elasticsearch ecosystem.
Scale indicators1 record
Recent moves6 records
Expansion highlights5 records
Logstash competitors and assessment
Company assessmentBroad incumbents
- Splunk: Splunk (now part of Cisco) is the leading enterprise log management and SIEM platform, with comparable ingestion pipelines and broader analytics capabilities. It competes with Elastic Stack (including Logstash) for enterprise observability and security workloads.
- Sumo Logic: Sumo Logic is a cloud-native SaaS log management and observability platform with comparable ingestion pipelines and analytics capabilities, competing with Elastic Stack's log management offering.
- Dynatrace: Dynatrace is an enterprise observability and security platform with log management capabilities built into its unified data model. It competes with Elastic for large enterprise observability budgets where Logstash-fed pipelines are deployed.
- New Relic: New Relic is a unified observability platform that includes log management alongside APM, infrastructure monitoring, and AIOps. It competes with Elastic Stack in the broader observability category where Logstash operates as an ingestion layer.
- Datadog: Datadog is a cloud-native observability platform that includes log management, APM, infrastructure monitoring, and security. Its Vector pipeline and Logs product overlap directly with Logstash's ingestion and processing role.
Direct peers
- Graylog: Graylog is an open-source log management platform with comparable ingestion, parsing (including grok), and search capabilities. It is positioned as a direct OSS alternative to Logstash-fed Elasticsearch deployments.
- Fluentd: Fluentd is an open-source data collector for unified logging layer, with a comparable plugin architecture for ingesting, transforming, and routing log data. It is the most direct open-source competitor to Logstash in the data pipeline category.
- Grafana Loki: Loki is an open-source log aggregation system from Grafana Labs designed for cloud-native environments. It competes with the Logstash-to-Elasticsearch path for log storage, querying, and visualization, often via Promtail or Fluentd.
- Fluent Bit: Fluent Bit is a lightweight, CNCF-graduated log processor and forwarder, often positioned as a more resource-efficient alternative to Fluentd and Logstash in Kubernetes and edge environments.
Emerging players
- Vector (by Datadog): Vector is a high-performance, Rust-based observability data pipeline from Datadog for collecting, transforming, and routing logs and metrics. It is an emerging cloud-native competitor to Logstash's processing layer.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks6 records
Key highlights7 records
Customer concentration
Logstash social profiles
Digital presenceLogstash financial estimates
Financial estimateRevenue estimate
Valuation estimate
Logstash leadership team
Management profileNumber of profiles
Logstash funding detail
Funding detailFunding overview
Funding rounds
Investors
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Logstash 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 Logstash
What does Logstash do?
Logstash is an open-source server-side data processing pipeline that ingests data from multiple sources, parses and transforms it dynamically using an extensible plugin framework of over 200 plugins, and ships the processed data to a designated output destination such as Elasticsearch. It is delivered as a core component of the Elastic Stack and is available both as a free self-managed download under the Apache 2.0 license and as part of Elastic's commercial cloud-hosted and serverless offerings.
Is Logstash a public or private company?
Logstash is a public company. It is classified as public and is currently operating.
When was Logstash founded?
Logstash was founded in 2012. It employs 251 to 500 people.
Where is Logstash based?
Logstash is headquartered in Mountain View, United States, in the North America region.
How does Logstash make money?
Four revenue lines are on record. Open Source Distribution is the primary driver. The others are elastic Stack Subscriptions, elastic Cloud and training & Certification.
Who are Logstash's main competitors?
Broad incumbents on record are Splunk, Sumo Logic, Dynatrace, New Relic and Datadog. Direct peers are Graylog, Fluentd, Grafana Loki and Fluent Bit. Vector (by Datadog) is listed as an emerging player.
Does Logstash have an API?
No public API is recorded for Logstash.
What industry is Logstash in?
Logstash's product category is Data Processing Pipeline. Its primary akta.pro industry code is HDABAJAC, Log Management & Analytics, with a secondary code of HDAFAMAN, Log Management & Event Correlation (Syslog/SIEM-adjacent for Networks). Its NAICS code is 518 and its SIC code is 7370.