Logstash vs Splunk Cloud

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Logstash

11.2K
8.6K
+ 1
103
Splunk Cloud

165
434
+ 1
15
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Logstash vs Splunk Cloud: What are the differences?

What is Logstash? 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.

What is Splunk Cloud? Easy and fast way to analyze valuable machine data with the convenience of software as a service (SaaS). If you're looking for all the benefits of Splunk® Enterprise with all the benefits of software-as-a-service, then look no further. Splunk Cloud is backed by a 100% uptime SLA, scales to over 10TB/day, and offers a highly secure environment.

Logstash and Splunk Cloud belong to "Log Management" category of the tech stack.

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, Splunk Cloud provides the following key features:

  • Splunk Cloud delivers all the features of award-winning Splunk® Enterprise, as a cloud-based service. The platform provides access to various apps and enables centralized visibility across cloud, hybrid and on-premises environments
  • Instant: Instant trial and instant conversion from POC to production
  • Secure: Completed SOC2 Type 2 Attestation*. Dedicated cloud environments for each customer

"Free" is the top reason why over 60 developers like Logstash, while over 3 developers mention "More powerful & Integrates with on-prem & off-prem" as the leading cause for choosing Splunk Cloud.

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 561 company stacks & 278 developers stacks; compared to Splunk Cloud, which is listed in 10 company stacks and 5 developer stacks.

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Pros of Logstash
Pros of Splunk Cloud
  • 69
    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
  • 7
    More powerful & Integrates with on-prem & off-prem
  • 3
    Free
  • 3
    Powerful log analytics
  • 1
    Pci compliance
  • 1
    Production debugger

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Cons of Logstash
Cons of Splunk Cloud
  • 4
    Memory-intensive
  • 1
    Documentation difficult to use
    Be the first to leave a con

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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 Cloud?

    If you're looking for all the benefits of Splunk® Enterprise with all the benefits of software-as-a-service, then look no further. Splunk Cloud is backed by a 100% uptime SLA, scales to over 10TB/day, and offers a highly secure environment.

    Need advice about which tool to choose?Ask the StackShare community!

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

    Sign up to get full access to all the tool integrationsMake informed product decisions

    Blog Posts

    May 21 2019 at 12:20AM

    Elastic

    ElasticsearchKibanaLogstash+4
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    5163
    GitHubPythonReact+42
    49
    40721
    GitHubPythonNode.js+26
    29
    15956
    GitHubMySQLSlack+44
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    What are some alternatives to Logstash and Splunk Cloud?
    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