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

Graylog vs 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
Graylog
Graylog
Stacks595
Followers711
Votes70
GitHub Stars7.9K
Forks1.1K

Graylog vs Logstash vs Sumo Logic: What are the differences?

  1. Data Collection: Graylog primarily focuses on log management and analysis, while Logstash serves as a data collection engine within the ELK stack. Sumo Logic, on the other hand, offers a cloud-based platform for log management and analysis.

  2. Deployment: Graylog is an open-source solution that can be deployed on premises or in the cloud, providing users with flexibility in their deployment options. Logstash is a part of the ELK stack and is typically deployed alongside Elasticsearch and Kibana. Sumo Logic, being a cloud-based solution, eliminates the need for users to manage infrastructure for log management.

  3. Automation: Graylog offers automation features through pipelines and processing rules, allowing users to automate the parsing and enrichment of log data. Logstash also provides similar automation capabilities through its processing pipelines. Sumo Logic's platform is known for its real-time analytics and machine learning algorithms that can automatically detect anomalies and trends in log data.

  4. User Interface: Graylog provides a web-based interface for searching, analyzing, and visualizing log data, catering to users who prefer a GUI for log management. Logstash, being more focused on data processing, lacks a dedicated user interface for log management. Sumo Logic offers a user-friendly interface with interactive dashboards and advanced visualization tools for log data analysis.

In Summary, Graylog, Logstash, and Sumo Logic offer distinct features in terms of data collection, deployment options, automation capabilities, and user interfaces for log management and analysis.

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Detailed Comparison

Sumo Logic
Sumo Logic
Logstash
Logstash
Graylog
Graylog

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.

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.

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 Stars
7.9K
GitHub Forks
-
GitHub Forks
3.5K
GitHub Forks
1.1K
Stacks
192
Stacks
12.3K
Stacks
595
Followers
282
Followers
8.8K
Followers
711
Votes
21
Votes
103
Votes
70
Pros & Cons
Pros
  • 11
    Search capabilities
  • 5
    Live event streaming
  • 3
    Pci 3.0 compliant
  • 2
    Easy to setup
Cons
  • 2
    Expensive
  • 1
    Occasionally unreliable log ingestion
  • 1
    Missing Monitoring
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
Pros
  • 19
    Open source
  • 13
    Powerfull
  • 8
    Well documented
  • 6
    Alerts
  • 5
    User authentification
Cons
  • 1
    Does not handle frozen indices at all
Integrations
Amazon CloudFront
Amazon CloudFront
Amazon S3
Amazon S3
Akamai
Akamai
AWS CloudTrail
AWS CloudTrail
Kibana
Kibana
Elasticsearch
Elasticsearch
Beats
Beats
GitHub
GitHub

What are some alternatives to Sumo Logic, Logstash, Graylog?

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.

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

AWS CloudTrail

AWS CloudTrail

With CloudTrail, you can get a history of AWS API calls for your account, including API calls made via the AWS Management Console, AWS SDKs, command line tools, and higher-level AWS services (such as AWS CloudFormation). The AWS API call history produced by CloudTrail enables security analysis, resource change tracking, and compliance auditing. The recorded information includes the identity of the API caller, the time of the API call, the source IP address of the API caller, the request parameters, and the response elements returned by the AWS service.

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