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  1. Stackups
  2. DevOps
  3. Log Management
  4. Log Management
  5. Logstash vs Sumo Logic

Logstash vs Sumo Logic

OverviewComparisonAlternatives

Overview

Sumo Logic
Sumo Logic
Stacks192
Followers282
Votes21
Logstash
Logstash
Stacks12.3K
Followers8.8K
Votes103
GitHub Stars14.7K
Forks3.5K

Logstash vs Sumo Logic: What are the differences?

Introduction

Logstash and Sumo Logic are both log management and analysis tools that are widely used in the IT industry. However, they have some key differences in terms of their functionalities and features. This Markdown code provides a comparison of Logstash and Sumo Logic, highlighting their distinct characteristics.

  1. Architecture: Logstash is an open-source tool developed by Elastic and works as part of the ELK (Elasticsearch, Logstash, Kibana) stack. It is a standalone server that processes log data before sending it to various outputs. On the other hand, Sumo Logic is a cloud-native platform that offers centralized log management and analytics. It utilizes a multi-tenant architecture and provides a web-based interface for log analysis.

  2. Deployment: Logstash is a self-hosted solution that requires manual installation and configuration. It can be deployed on-premises or in the cloud, allowing users to have more control over their log management infrastructure. In contrast, Sumo Logic is a fully managed service that is hosted in the cloud. Users do not need to worry about installation or maintenance, as the platform takes care of these aspects.

  3. Ease of Use: Logstash is a powerful tool but is considered more complex to set up and use compared to Sumo Logic. It requires knowledge of configuration files and plugins to effectively parse and transform log data. Sumo Logic, on the other hand, provides a user-friendly interface with intuitive search and visualization capabilities. It also offers pre-built content and out-of-the-box integrations, making it easier for users to get started with log analysis.

  4. Scalability: Logstash can scale horizontally by adding additional instances in a distributed setup. Users can set up a cluster of Logstash nodes to handle large volumes of log data. However, scaling Logstash requires manual configuration and monitoring. Sumo Logic, being a cloud-native platform, offers built-in scalability. It can seamlessly handle logs from thousands of sources and automatically scale resources as needed.

  5. Cost: Logstash is an open-source tool, which means it is free to use. However, there may be costs associated with hardware infrastructure, maintenance, and support. Sumo Logic, being a cloud service, operates on a subscription-based pricing model. The cost varies based on the volume of log data ingested and the desired retention period. Users often find Sumo Logic to be a more cost-effective solution, especially when considering the effort and resources required to maintain a self-hosted Logstash environment.

  6. Extensibility: Logstash allows users to extend its functionality through a rich ecosystem of plugins. Users can develop custom plugins or leverage existing plugins for various input, filter, and output capabilities. Sumo Logic also offers extensibility through its API and SDKs, allowing users to customize their log analysis workflows. However, the range of options and flexibility provided by Logstash's plugin ecosystem is typically more extensive.

In summary, Logstash is an open-source log management tool that requires manual setup and offers extensive customization options through its ecosystem of plugins. It is suitable for users who prefer self-hosted log management infrastructure. On the other hand, Sumo Logic is a cloud-native platform that provides a user-friendly interface, automatic scalability, and cost-effectiveness, making it an attractive choice for organizations looking for a hassle-free log management solution.

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Detailed Comparison

Sumo Logic
Sumo Logic
Logstash
Logstash

Cloud-based machine data analytics platform that enables companies to proactively identify availability and performance issues in their infrastructure, improve their security posture and enhance application rollouts. Companies using Sumo Logic reduce their mean-time-to-resolution by 50% and can save hundreds of thousands of dollars, annually. Customers include Netflix, Medallia, Orange, and GoGo Inflight.

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.

Ability to collect data from on-premise sources, private/public/hybrid clouds, and SaaS/PaaS environments;Real-time continuous query engine that constantly updates dashboards and reports for immediate visualization;Anomaly detection engine that enables companies to proactively uncover events without writing rules;LogReduce, our pattern-recognition engine, that distills tens/hundreds of thousands of log messages into a set of patterns for easier issue identification and resolution;The ability to support data bursts on-demand with our elastic log processing architecture;Real-time alerts and notifications
Centralize data processing of all types;Normalize varying schema and formats;Quickly extend to custom log formats;Easily add plugins for custom data source
Statistics
GitHub Stars
-
GitHub Stars
14.7K
GitHub Forks
-
GitHub Forks
3.5K
Stacks
192
Stacks
12.3K
Followers
282
Followers
8.8K
Votes
21
Votes
103
Pros & Cons
Pros
  • 11
    Search capabilities
  • 5
    Live event streaming
  • 3
    Pci 3.0 compliant
  • 2
    Easy to setup
Cons
  • 2
    Expensive
  • 1
    Missing Monitoring
  • 1
    Occasionally unreliable log ingestion
Pros
  • 69
    Free
  • 18
    Easy but powerful filtering
  • 12
    Scalable
  • 2
    Kibana provides machine learning based analytics to log
  • 1
    Well Documented
Cons
  • 4
    Memory-intensive
  • 1
    Documentation difficult to use
Integrations
Amazon CloudFront
Amazon CloudFront
Amazon S3
Amazon S3
Akamai
Akamai
AWS CloudTrail
AWS CloudTrail
Kibana
Kibana
Elasticsearch
Elasticsearch
Beats
Beats

What are some alternatives to Sumo Logic, Logstash?

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.

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.

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.

Graylog

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.

Sematext

Sematext

Sematext pulls together performance monitoring, logs, user experience and synthetic monitoring that tools organizations need to troubleshoot performance issues faster.

Fluentd

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.

ELK

ELK

It is the acronym for three open source projects: Elasticsearch, Logstash, and Kibana. Elasticsearch is a search and analytics engine. Logstash is a server‑side data processing pipeline that ingests data from multiple sources simultaneously, transforms it, and then sends it to a "stash" like Elasticsearch. Kibana lets users visualize data with charts and graphs in Elasticsearch.

Splunk

Splunk

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

LogDNA

LogDNA

The easiest log management system you will ever use! LogDNA is a cloud-based log management system that allows engineering and devops to aggregate all system and application logs into one efficient platform. Save, store, tail and search app

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