Logstash vs Stackdriver

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Logstash

10.9K
8K
+ 1
102
Stackdriver

317
343
+ 1
67
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Logstash vs Stackdriver: 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, Stackdriver is detailed as "Monitoring, logging, and diagnostics for applications on Google Cloud Platform and AWS". Google Stackdriver provides powerful monitoring, logging, and diagnostics. It equips you with insight into the health, performance, and availability of cloud-powered applications, enabling you to find and fix issues faster.

Logstash belongs to "Log Management" category of the tech stack, while Stackdriver can be primarily classified under "Cloud Monitoring".

Some of the features offered by Logstash are:

  • Centralize data processing of all types
  • Normalize varying schema and formats
  • Quickly extend to custom log formats

On the other hand, Stackdriver provides the following key features:

  • Monitoring
  • Logging
  • Diagnostics

"Free" is the primary reason why developers consider Logstash over the competitors, whereas "Monitoring" was stated as the key factor in picking Stackdriver.

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.

Airbnb, reddit, and Typeform are some of the popular companies that use Logstash, whereas Stackdriver is used by Kalibrr, Nuuvem, and Verba. Logstash has a broader approval, being mentioned in 561 company stacks & 278 developers stacks; compared to Stackdriver, which is listed in 58 company stacks and 18 developer stacks.

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Pros of Logstash
Pros of Stackdriver
  • 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
  • 19
    Monitoring
  • 11
    Logging
  • 8
    Alerting
  • 7
    Tracing
  • 6
    Uptime Monitoring
  • 5
    Error Reporting
  • 4
    Multi-cloud
  • 3
    Production debugger
  • 2
    Many integrations
  • 1
    Configured basically with GAE
  • 1
    Backed by Google

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Cons of Logstash
Cons of Stackdriver
  • 4
    Memory-intensive
  • 1
    Documentation difficult to use
  • 2
    Not free

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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 Stackdriver?

Google Stackdriver provides powerful monitoring, logging, and diagnostics. It equips you with insight into the health, performance, and availability of cloud-powered applications, enabling you to find and fix issues faster.

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

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Blog Posts

May 21 2019 at 12:20AM

Elastic

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What are some alternatives to Logstash and Stackdriver?
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.
Splunk
It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data.
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.
See all alternatives