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Logstash vs Splunk: What are the differences?
Developers describe Logstash as "Collect, Parse, & Enrich Data". Logstash is a tool for managing events and logs. You can use it to collect logs, parse them, and store them for later use (like, for searching). If you store them in Elasticsearch, you can view and analyze them with Kibana. On the other hand, Splunk is detailed as "Search, monitor, analyze and visualize machine data". Splunk Inc. provides the leading platform for Operational Intelligence. Customers use Splunk to search, monitor, analyze and visualize machine data.
Logstash and Splunk can be categorized as "Log Management" tools.
Logstash is an open source tool with 10.3K GitHub stars and 2.78K GitHub forks. Here's a link to Logstash's open source repository on GitHub.
According to the StackShare community, Logstash has a broader approval, being mentioned in 563 company stacks & 278 developers stacks; compared to Splunk, which is listed in 31 company stacks and 29 developer stacks.
Pros of Logstash
- Free68
- Easy but powerful filtering18
- Scalable12
- Kibana provides machine learning based analytics to log2
- Great to meet GDPR goals1
- Well Documented1
Pros of Splunk
- Ability to style search results into reports2
- Alert system based on custom query results2
- API for searching logs, running reports2
- Query engine supports joining, aggregation, stats, etc2
- Query any log as key-value pairs1
- Splunk language supports string, date manip, math, etc1
- Granular scheduling and time window support1
- Custom log parsing as well as automatic parsing1
- Dashboarding on any log contents1
- Rich GUI for searching live logs1
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Cons of Logstash
- Memory-intensive4
- Documentation difficult to use1
Cons of Splunk
- Splunk query language rich so lots to learn1
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What is Logstash?
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