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  1. Stackups
  2. DevOps
  3. Performance Monitoring
  4. Performance Monitoring
  5. Logstash vs Prometheus vs Splunk Cloud

Logstash vs Prometheus vs Splunk Cloud

OverviewDecisionsComparisonAlternatives

Overview

Splunk Cloud
Splunk Cloud
Stacks170
Followers438
Votes15
Logstash
Logstash
Stacks12.3K
Followers8.8K
Votes103
GitHub Stars14.7K
Forks3.5K
Prometheus
Prometheus
Stacks4.8K
Followers3.8K
Votes239
GitHub Stars61.1K
Forks9.9K

Logstash vs Prometheus vs Splunk Cloud: What are the differences?

Logstash, Prometheus, and Splunk Cloud are three popular tools used for log management and monitoring. Here are the key differences between Logstash, Prometheus, and Splunk Cloud:

  1. Data Collection: Logstash is primarily used for collecting, parsing, and indexing log data from various sources, while Prometheus is designed for monitoring metrics and time-series data. Splunk Cloud, on the other hand, offers a comprehensive platform for log management, monitoring, and data analysis, serving as an all-in-one solution for enterprises.

  2. Data Storage: Logstash stores data in Elasticsearch, a distributed search and analytics engine, while Prometheus stores its data in a custom time-series database. Splunk Cloud includes its storage solution optimized for log and time-series data, offering scalability and performance for large-scale deployments.

  3. Querying and Visualization: Logstash relies on Elasticsearch for querying and visualizing log data, providing powerful search capabilities and customizable dashboards. Prometheus comes with a built-in query language and visualization tools for analyzing metrics and creating dashboards. Splunk Cloud offers a user-friendly interface for querying, analyzing, and visualizing data, making it easier for non-technical users to derive insights.

  4. Scalability and Performance: Logstash can be horizontally scaled by deploying multiple instances to handle a high volume of log data, while Prometheus is designed to be a highly scalable monitoring system capable of handling large-scale deployments. Splunk Cloud offers a cloud-based solution that can be scaled vertically and horizontally to meet the evolving needs of enterprises.

  5. Cost and Licensing: Logstash is an open-source tool released under the Apache License, making it free to use and modify. Prometheus is also open-source software licensed under the Apache 2.0 license. Splunk Cloud, on the other hand, is a commercial product with pricing based on data volume and additional features, making it a more costly option for organizations with large-scale deployments.

  6. Community Support and Ecosystem: Logstash and Prometheus have active open-source communities that contribute plugins, integrations, and extensions to enhance their functionality. Splunk Cloud has a thriving ecosystem of apps, add-ons, and integrations available on Splunkbase, providing users with a wide range of options to extend the platform's capabilities.

In Summary, the key differences between Logstash, Prometheus, and Splunk Cloud lie in their focus on data collection, storage, querying and visualization, scalability and performance, cost and licensing, and community support and ecosystem.

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Advice on Splunk Cloud, Logstash, Prometheus

Leonardo Henrique da
Leonardo Henrique da

Pleno QA Enginneer at SolarMarket

Dec 8, 2020

Decided

The objective of this work was to develop a system to monitor the materials of a production line using IoT technology. Currently, the process of monitoring and replacing parts depends on manual services. For this, load cells, microcontroller, Broker MQTT, Telegraf, InfluxDB, and Grafana were used. It was implemented in a workflow that had the function of collecting sensor data, storing it in a database, and visualizing it in the form of weight and quantity. With these developed solutions, he hopes to contribute to the logistics area, in the replacement and control of materials.

403k views403k
Comments
Raja Subramaniam
Raja Subramaniam

Aug 27, 2019

Needs adviceonPrometheusPrometheusKubernetesKubernetesSysdigSysdig

We have Prometheus as a monitoring engine as a part of our stack which contains Kubernetes cluster, container images and other open source tools. Also, I am aware that Sysdig can be integrated with Prometheus but I really wanted to know whether Sysdig or sysdig+prometheus will make better monitoring solution.

779k views779k
Comments
Susmita
Susmita

Senior SRE at African Bank

Jul 28, 2020

Needs adviceonGrafanaGrafana

Looking for a tool which can be used for mainly dashboard purposes, but here are the main requirements:

  • Must be able to get custom data from AS400,
  • Able to display automation test results,
  • System monitoring / Nginx API,
  • Able to get data from 3rd parties DB.

Grafana is almost solving all the problems, except AS400 and no database to get automation test results.

869k views869k
Comments

Detailed Comparison

Splunk Cloud
Splunk Cloud
Logstash
Logstash
Prometheus
Prometheus

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 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.

Prometheus is a systems and service monitoring system. It collects metrics from configured targets at given intervals, evaluates rule expressions, displays the results, and can trigger alerts if some condition is observed to be true.

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; Reliable: 100% uptime SLA. All the features of Splunk Enterprise, including apps, APIs, SDKs. 10TB+/day scalability and up to 10x bursting over licensed data volumes**; Hybrid: Centralized visibility across Splunk Cloud (SaaS) and Splunk Enterprise (software);
Centralize data processing of all types;Normalize varying schema and formats;Quickly extend to custom log formats;Easily add plugins for custom data source
Dimensional data; Powerful queries; Great visualization; Efficient storage; Precise alerting; Simple operation
Statistics
GitHub Stars
-
GitHub Stars
14.7K
GitHub Stars
61.1K
GitHub Forks
-
GitHub Forks
3.5K
GitHub Forks
9.9K
Stacks
170
Stacks
12.3K
Stacks
4.8K
Followers
438
Followers
8.8K
Followers
3.8K
Votes
15
Votes
103
Votes
239
Pros & Cons
Pros
  • 7
    More powerful & Integrates with on-prem & off-prem
  • 3
    Powerful log analytics
  • 3
    Free
  • 1
    Production debugger
  • 1
    Pci compliance
Pros
  • 69
    Free
  • 18
    Easy but powerful filtering
  • 12
    Scalable
  • 2
    Kibana provides machine learning based analytics to log
  • 1
    Great to meet GDPR goals
Cons
  • 4
    Memory-intensive
  • 1
    Documentation difficult to use
Pros
  • 47
    Powerful easy to use monitoring
  • 38
    Flexible query language
  • 32
    Dimensional data model
  • 27
    Alerts
  • 23
    Active and responsive community
Cons
  • 12
    Just for metrics
  • 6
    Bad UI
  • 6
    Needs monitoring to access metrics endpoints
  • 4
    Not easy to configure and use
  • 3
    Supports only active agents
Integrations
AWS CloudFormation
AWS CloudFormation
AWS CloudTrail
AWS CloudTrail
Kibana
Kibana
Elasticsearch
Elasticsearch
Beats
Beats
Grafana
Grafana

What are some alternatives to Splunk Cloud, Logstash, Prometheus?

New Relic

New Relic

The world’s best software and DevOps teams rely on New Relic to move faster, make better decisions and create best-in-class digital experiences. If you run software, you need to run New Relic. More than 50% of the Fortune 100 do too.

Datadog

Datadog

Datadog is the leading service for cloud-scale monitoring. It is used by IT, operations, and development teams who build and operate applications that run on dynamic or hybrid cloud infrastructure. Start monitoring in minutes with Datadog!

Grafana

Grafana

Grafana is a general purpose dashboard and graph composer. It's focused on providing rich ways to visualize time series metrics, mainly though graphs but supports other ways to visualize data through a pluggable panel architecture. It currently has rich support for for Graphite, InfluxDB and OpenTSDB. But supports other data sources via plugins.

Papertrail

Papertrail

Papertrail helps detect, resolve, and avoid infrastructure problems using log messages. Papertrail's practicality comes from our own experience as sysadmins, developers, and entrepreneurs.

Kibana

Kibana

Kibana is an open source (Apache Licensed), browser based analytics and search dashboard for Elasticsearch. Kibana is a snap to setup and start using. Kibana strives to be easy to get started with, while also being flexible and powerful, just like Elasticsearch.

Logmatic

Logmatic

Get a clear overview of what is happening across your distributed environments, and spot the needle in the haystack in no time. Build dynamic analyses and identify improvements for your software, your user experience and your business.

Raygun

Raygun

Raygun gives you a window into how users are really experiencing your software applications. Detect, diagnose and resolve issues that are affecting end users with greater speed and accuracy.

Loggly

Loggly

It is a SaaS solution to manage your log data. There is nothing to install and updates are automatically applied to your Loggly subdomain.

Logentries

Logentries

Logentries makes machine-generated log data easily accessible to IT operations, development, and business analysis teams of all sizes. With the broadest platform support and an open API, Logentries brings the value of log-level data to any system, to any team member, and to a community of more than 25,000 worldwide users.

Nagios

Nagios

Nagios is a host/service/network monitoring program written in C and released under the GNU General Public License.

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