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

ELK vs Sumo Logic

OverviewComparisonAlternatives

Overview

Sumo Logic
Sumo Logic
Stacks192
Followers282
Votes21
ELK
ELK
Stacks863
Followers941
Votes23

ELK vs Sumo Logic: What are the differences?

Introduction

ELK and Sumo Logic are two popular solutions used to collect, analyze, and visualize logs and data. While both ELK and Sumo Logic serve the same purpose, there are key differences between them.

  1. Deployment: ELK (Elasticsearch, Logstash, and Kibana) is an open-source solution that requires manual deployment and configuration. On the other hand, Sumo Logic is a cloud-native solution that offers a fully managed platform, eliminating the need for manual setup and maintenance.

  2. Scalability: ELK can be scaled horizontally by adding more nodes to the Elasticsearch cluster. However, scaling can be complex and requires expertise in managing distributed systems. Sumo Logic handles scalability more efficiently as it is a cloud-based solution that automatically scales based on the workload and stores data in a distributed manner.

  3. Ease of Use: Setting up and configuring ELK can be time-consuming and requires technical expertise. Sumo Logic, being a cloud-native solution, provides a user-friendly interface and easier setup, reducing the learning curve and making it more accessible for non-technical users.

  4. Security: ELK provides security features but requires manual configuration for proper access control, authentication, and encryption. Sumo Logic offers built-in security features such as encryption at rest and in transit, access controls, and user authentication, ensuring data privacy and protection without the need for manual configuration.

  5. Cost: ELK is an open-source solution, making it free to use. However, organizations need to consider the costs associated with infrastructure, maintenance, and dedicated personnel for managing ELK. Sumo Logic is a subscription-based service, providing a fully managed platform, thereby reducing operational costs and eliminating the need for infrastructure maintenance.

  6. Analytics and Machine Learning: While ELK provides basic analytics capabilities, Sumo Logic offers advanced analytics and machine learning features. Sumo Logic's platform is built with AI capabilities that enable anomaly detection, predictive analytics, and real-time insights, allowing organizations to gain deeper visibility and take proactive actions.

In Summary, ELK and Sumo Logic differ in terms of deployment, scalability, ease of use, security, cost, and analytics capabilities. Sumo Logic stands out as a cloud-native, fully managed solution that offers simplicity, scalability, built-in security, and advanced analytics, while ELK provides more control and customization options at the cost of manual configuration and maintenance.

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Detailed Comparison

Sumo Logic
Sumo Logic
ELK
ELK

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.

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.

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
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Statistics
Stacks
192
Stacks
863
Followers
282
Followers
941
Votes
21
Votes
23
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
  • 14
    Open source
  • 4
    Can run locally
  • 3
    Good for startups with monetary limitations
  • 1
    External Network Goes Down You Aren't Without Logging
  • 1
    Easy to setup
Cons
  • 5
    Elastic Search is a resource hog
  • 3
    Logstash configuration is a pain
  • 1
    Bad for startups with personal limitations
Integrations
Amazon CloudFront
Amazon CloudFront
Amazon S3
Amazon S3
Akamai
Akamai
AWS CloudTrail
AWS CloudTrail
No integrations available

What are some alternatives to Sumo Logic, ELK?

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.

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.

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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