Learn how Grafana Loki 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
Last commit
6 hours agoRepository age
9 yearsVersion
v3.7.9License
AGPL-3.0Self-hosted
YesRepository
grafana/loki
Last 30 days
Last commit
6 hours agoRepository age
16 yearsVersion
v9.5.5Self-hosted
YesRepository
elastic/logstash
Both Grafana Loki 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.
Grafana Loki leads in popularity with 29,057 stars vs 14,969 stars for Logstash. The 94% higher star count indicates stronger community adoption. In terms of developer contributions, Grafana Loki has 4,156 forks, indicating strong developer engagement.
Grafana Loki and Logstash are moving at much the same rate, adding 105 stars and adding 19 stars respectively over the last 30 days (+0.4% vs +0.1%). Neither is pulling away from the other on momentum alone.
Both projects show recent activity, with Grafana Loki last updated 6 hours ago and Logstash 6 hours ago.
Both tools share common technology foundations, being built with CSS, Bash, Ruby. However, they differ in their additional technology choices: Grafana Loki uses JavaScript, Golang, SCSS while Logstash leverages Python, C, Java.
Logstash has been in development longer, starting 16 years ago, compared to Grafana Loki which began 9 years ago. This 7.5-year head start suggests Logstash may have more mature features and established processes.
Grafana Loki 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: Logstash extends into ETL & Data Integration, Stream Processing.
Both Grafana Loki and Logstash offer self-hosting capabilities, giving you full control over your data and infrastructure.