Apache Kafka vs Logstash: Pricing and Ratings Compared (2026)
Entry prices and free plans as read on each vendor's pricing page, and user ratings as published on review sites, for Apache Kafka and Logstash side by side. This page compares data; it is not a hands-on review.
On the data: On the data below the two are close or not directly comparable, so we do not name a winner for this pair.
Short on time? Here's the quick answer
Based on published vendor pricing and features and on public review data, here's who should pick what:
Apache Kafka
Distributed event streaming for real-time data pipelines
Best for you if:
- • You want high throughput
Logstash
Ingest, transform, and send data with 200+ plugins
Best for you if:
- • You want a fully free tool (Apache Kafka requires payment)
| At a Glance | Apache Kafka | Logstash |
|---|---|---|
Starts at | Free plan | Free 100% free |
Category | ETL & Data Pipelines Data & Databases | ETL & Data Pipelines Log Management |
Rating | 4.5/5 G2 4.5 · Capterra 4.5 149 reviews | 4.6/5 G2 4.4 · SourceForge 5.0 553 reviews |
Free plan | No | Yes |
Watch out for | Confluent Cloud: storage/throughput costs at scale | n/a |
Choose Apache Kafka or Logstash?
Choose Apache Kafka if
- You want high throughput
- You want event streaming
Choose Logstash if
- You want a fully free tool (Apache Kafka requires payment)
- You want flexible pipelines
- You want many inputs/outputs
In-Depth Analysis
Apache Kafka
Distributed event streaming for real-time data pipelines
Kafka is the standard for event streaming.
Watch out
Confluent Cloud: storage/throughput costs at scale
Strengths
- Pro: High throughput
- Pro: Event streaming
- Pro: Durable storage
- Pro: Partitioning
- Pro: Industry standard
Weaknesses
- Con: Complex operations
- Con: Resource heavy
- Con: Learning curve
- Con: Overkill for simple queues
- Con: ZooKeeper dependency
Key features
Logstash
Ingest, transform, and send data with 200+ plugins
Logstash's pricing is exceptionally generous as it is entirely free and open-source.
Strengths
- Pro: Flexible pipelines
- Pro: Many inputs/outputs
- Pro: Part of ELK stack
Weaknesses
- Con: Resource intensive
- Con: JVM overhead
Key features
Plans and prices: Apache Kafka vs Logstash
| Tool | Plans and prices | Source |
|---|---|---|
| Apache Kafka |
| kafka.apache.org read Oct 1, 2026 |
| Logstash |
| elastic.co/logstash read Oct 3, 2026 |
Prices as read on each vendor's own pricing page on the date shown. Plans are listed per tool and are not matched against the other tool's plans: a plan name or price in one column says nothing about the same row in the other. Details on Apache Kafka pricing and Logstash pricing.
Key Takeaways
Apache Kafka
- Choose if you want distributed event streaming for real-time data pipelines
Logstash
- Choose if you want ingest, transform, and send data with 200+ plugins
What the data shows
On the data below the two are close or not directly comparable, so we do not name a winner for this pair.
- User ratings are within 0.2 points (4.5/5 from 149 reviews for Apache Kafka, 4.6/5 from 553 reviews for Logstash).
- Both have a free plan.
Criteria: user rating (only above 20 reviews on both sides, gap of 0.2 or more), entry price (only on the same billing basis), free plan. How we rate
Frequently Asked Questions
How do Apache Kafka and Logstash compare in 2026?
On the data below the two are close or not directly comparable, so we do not name a winner for this pair. User ratings are within 0.2 points (4.5/5 from 149 reviews for Apache Kafka, 4.6/5 from 553 reviews for Logstash). Both have a free plan.
What are Apache Kafka and Logstash used for?
Apache Kafka: Distributed event streaming for real-time data pipelines. Logstash: Ingest, transform, and send data with 200+ plugins.
What does Apache Kafka cost vs Logstash?
Apache Kafka has no public paid-plan price on file. Logstash is free. Prices read on the vendors' pricing pages, latest check Oct 3, 2026.
What's the main difference between Apache Kafka and Logstash?
Apache Kafka's main strength: high throughput. Logstash's main strength: flexible pipelines.