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

Graylog vs Sumo Logic

OverviewComparisonAlternatives

Overview

Sumo Logic
Sumo Logic
Stacks192
Followers282
Votes21
Graylog
Graylog
Stacks595
Followers711
Votes70
GitHub Stars7.9K
Forks1.1K

Graylog vs Sumo Logic: What are the differences?

Introduction

Graylog and Sumo Logic are both log management and analysis tools that are widely used in the industry. While they have some similarities in terms of their functionality, there are key differences between the two platforms that set them apart.

  1. Data Storage: One major difference between Graylog and Sumo Logic is their approach to data storage. Graylog stores log data on the user's own infrastructure, allowing for complete control and ownership. On the other hand, Sumo Logic offers a cloud-based solution, where log data is stored on Sumo Logic's servers. This distinction can be crucial for organizations with specific security or compliance requirements.

  2. Cost: Another significant difference lies in the pricing models of the two platforms. Graylog is an open-source tool with a free version available, making it a cost-effective choice for organizations with limited budgets. Sumo Logic, on the other hand, operates on a subscription-based pricing model, with the cost determined by the volume of log data ingested. This pricing structure can be advantageous for organizations that need dedicated support and advanced features.

  3. Ease of Use: Graylog is often praised for its simplicity and ease of use. Its intuitive user interface and straightforward setup process make it accessible to both novice and experienced users. Sumo Logic, on the other hand, offers a more comprehensive set of features, which can make it a bit more complex for beginners. Advanced functionalities in Sumo Logic, such as real-time analytics, might require more expertise to fully utilize.

  4. Security: Security is another differentiating factor between Graylog and Sumo Logic. Graylog provides strong security features, with encryption options for data both at rest and during transit. As Graylog is hosted on the user's own infrastructure, the user has full control over the security measures implemented. Sumo Logic, being a cloud-based platform, also offers robust security features, but some organizations may have specific compliance requirements that necessitate an on-premises solution like Graylog.

  5. Customizability: Graylog offers a high level of customization, allowing users to tailor the platform to their specific needs. Users can create custom dashboards, alerts, and extractors, providing more flexibility in analyzing log data. Sumo Logic, although offering a range of features, may have limitations when it comes to customizability. Some advanced customization options may only be available in higher-priced plans.

  6. Integration Ecosystem: Both Graylog and Sumo Logic have extensive integration capabilities, allowing for seamless integration with various systems and tools. However, Graylog's open-source nature has resulted in a large community-driven ecosystem of plugins and integrations that can further extend its functionalities. Sumo Logic also offers a wide range of integrations but may have a more limited selection compared to Graylog's vibrant community.

In summary, Graylog and Sumo Logic differ in their data storage approach, cost structure, ease of use, security features, customizability, and integration ecosystem. Choosing between the two will depend on individual requirements, such as data ownership, budget, ease of use, and specific security and customization needs.

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Detailed Comparison

Sumo Logic
Sumo Logic
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.

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
-
Statistics
GitHub Stars
-
GitHub Stars
7.9K
GitHub Forks
-
GitHub Forks
1.1K
Stacks
192
Stacks
595
Followers
282
Followers
711
Votes
21
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
  • 19
    Open source
  • 13
    Powerfull
  • 8
    Well documented
  • 6
    Alerts
  • 5
    Flexibel query and parsing language
Cons
  • 1
    Does not handle frozen indices at all
Integrations
Amazon CloudFront
Amazon CloudFront
Amazon S3
Amazon S3
Akamai
Akamai
AWS CloudTrail
AWS CloudTrail
GitHub
GitHub

What are some alternatives to Sumo Logic, 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.

Logstash

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.

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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