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Logstash

8.2K
6.2K
+ 1
102
Splunk

461
733
+ 1
11
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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.

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Pros of Logstash
Pros of Splunk
  • 68
    Free
  • 18
    Easy but powerful filtering
  • 12
    Scalable
  • 2
    Kibana provides machine learning based analytics to log
  • 1
    Great to meet GDPR goals
  • 1
    Well Documented
  • 2
    API for searching logs, running reports
  • 1
    Query engine supports joining, aggregation, stats, etc
  • 1
    Query any log as key-value pairs
  • 1
    Splunk language supports string, date manip, math, etc
  • 1
    Granular scheduling and time window support
  • 1
    Alert system based on custom query results
  • 1
    Custom log parsing as well as automatic parsing
  • 1
    Dashboarding on any log contents
  • 1
    Ability to style search results into reports
  • 1
    Rich GUI for searching live logs

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Cons of Logstash
Cons of Splunk
  • 3
    Memory-intensive
  • 1
    Documentation difficult to use
  • 1
    Splunk query language rich so lots to learn

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- No public GitHub repository available -

What is Logstash?

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.

What is Splunk?

It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data.

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What companies use Logstash?
What companies use Splunk?
See which teams inside your own company are using Logstash or Splunk.
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What tools integrate with Logstash?
What tools integrate with Splunk?

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Blog Posts

Jul 9 2019 at 7:22PM

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What are some alternatives to Logstash and Splunk?
Fluentd
Fluentd collects events from various data sources and writes them to files, RDBMS, NoSQL, IaaS, SaaS, Hadoop and so on. Fluentd helps you unify your logging infrastructure.
Kafka
Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.
Beats
Beats is the platform for single-purpose data shippers. They send data from hundreds or thousands of machines and systems to Logstash or Elasticsearch.
Graylog
Centralize and aggregate all your log files for 100% visibility. Use our powerful query language to search through terabytes of log data to discover and analyze important information.
Elasticsearch
Elasticsearch is a distributed, RESTful search and analytics engine capable of storing data and searching it in near real time. Elasticsearch, Kibana, Beats and Logstash are the Elastic Stack (sometimes called the ELK Stack).
See all alternatives