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Reviews on SourceForge G2
553 reviews tracked

The Bottom Line

Price
Free, no paid tier. Compare plans

Key facts

  • Logstash is an open-source data processing pipeline for log ingestion
  • It collects, transforms, and sends logs to Elasticsearch and other destinations
  • Free and open-source, part of the Elastic Stack

Pros

  • Flexible pipelines
  • Many inputs/outputs
  • Part of ELK stack

Cons

  • Resource intensive
  • JVM overhead

What is Logstash?

Editorial review
Logstash is an open-source data processing pipeline that ingests, transforms, and sends data. Part of the Elastic Stack alongside Elasticsearch and Kibana. 200+ plugins connect to data sources and destinations. Filter and enrich logs in real-time. Scale horizontally for high-volume data. The ETL pipeline for log and event data.

Available on: Web, Linux, macOS, Windows

Ratings Across the Web

4.6 (553 reviews)

Logstash holds an aggregate rating of 4.6 out of 5 from 553 reviews across SourceForge and G2, last checked September 5, 2026.

Ratings aggregated from independent review platforms. Learn more

Key Features

  • Data pipeline
  • Parsing
  • Enrichment
  • Output plugins
  • Elastic Stack
  • Open source

Pricing Plans

Pricing checked Oct 3, 2026

Logstash plans and prices, checked October 2026
PlanPriceDetails
Free

$0

Open source

  • Data collection
  • 200+ plugins
  • Real-time processing
+2 more
  • Transformation pipelines
  • Apache 2.0 license

Is Logstash worth the price?

Great value

Logstash's pricing is exceptionally generous as it is entirely free and open-source.

The 'Free' tier offers extensive data processing capabilities without any cost, making it highly accessible. This model is best for organizations prioritizing cost-effectiveness and control over their data pipelines.

Full Logstash pricing: every plan, hidden costs and alternatives

Reviews

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4.6/5

Across 553 verified user reviews on G2, SourceForge

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Logstash FAQ

How does Logstash facilitate log management?

Logstash serves as an open-source data processing pipeline that ingests, transforms, and sends log data. It allows users to filter and enrich logs in real-time, making it a key component for comprehensive log management within the Elastic Stack.

Which teams benefit most from using Logstash?

Logstash is best suited for development teams and operations teams that require robust ETL capabilities for log and event data. Its ability to ingest, transform, and send data with over 200 plugins makes it valuable for managing diverse data sources.

How is Logstash priced?

Logstash is free to use, as it is an open-source data processing pipeline. There are no paid plans required to utilize its features for ingesting, transforming, and sending data.

Can Logstash integrate with various data sources and destinations?

Yes, Logstash is designed for extensive integration, offering over 200 plugins to connect to a wide array of data sources and destinations. This flexibility allows it to ingest data from many origins and send it to diverse targets.

What kind of trade-offs should users consider when implementing Logstash?

Users should be aware that Logstash can be resource-intensive due to its JVM overhead. While it offers powerful data processing capabilities, its operational footprint requires consideration.

How does Logstash compare to Apache Kafka for data processing?

Logstash is primarily an ETL pipeline focused on ingesting, transforming, and sending data with over 200 plugins, often used for log and event data. Apache Kafka, while also handling data streams, is more focused on high-throughput, fault-tolerant messaging queues for building real-time data pipelines and streaming applications.

Source: elastic.co

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