Learn how Gigapipe and Logstash differ in their key features, development activity, technology stack and community adoption, so you can decide which of these log management tools is best for you.
Last 30 days
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Repository age
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Last 30 days
Last commit
Repository age
Version
Self-hosted
Repository

Both Gigapipe and Logstash have their unique strengths and serve similar purposes effectively. Consider your specific needs regarding popularity, growth, activity, technology, maturity, licensing and features when making your decision.
Logstash significantly outpaces Gigapipe in community adoption with 14,926 stars compared to 1,700 stars on GitHub. This 8.8x difference suggests Logstash has a much larger and more active community. In terms of developer contributions, Logstash has 3,504 forks, indicating strong developer engagement.
Gigapipe is growing faster, adding 12 stars in the last 30 days (+0.7%) against adding 19 stars for Logstash (+0.1%). Gigapipe is the smaller project of the two, so it is closing the gap rather than extending a lead.
Both projects show recent activity, with Gigapipe last updated 1 day ago and Logstash 7 hours ago.
Gigapipe uses Golang while Logstash leverages CSS, Bash, Python, C, Java, Ruby.
Logstash has been in development longer, starting 16 years ago, compared to Gigapipe which began 8 years ago. This 8.2-year head start suggests Logstash may have more mature features and established processes.
Gigapipe is licensed under AGPL-3.0, while Logstash's license terms are not publicly specified.
Both tools serve similar use cases in Log Management. However, they also have distinct specializations: Gigapipe also focuses on Infrastructure Monitoring while Logstash extends into ETL & Data Integration, Stream Processing.
Logstash provides self-hosting options for complete data control and customization, while Gigapipe may be primarily cloud-based or require different deployment approaches.