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

Coralogix vs ELK

OverviewComparisonAlternatives

Overview

ELK
ELK
Stacks863
Followers941
Votes23
Coralogix
Coralogix
Stacks32
Followers43
Votes0

Coralogix vs ELK: What are the differences?

Introduction

Coralogix and ELK (Elasticsearch, Logstash, and Kibana) are both popular log management and analysis platforms used in the IT industry. While they serve a similar purpose, there are key differences between the two. In this article, we will explore and compare six significant differences between Coralogix and ELK.

  1. Infrastructure and Setup: Coralogix provides a managed solution that requires minimal infrastructure setup. It offers an easy-to-use setup wizard and handles the infrastructure, data parsing, and storage for the users. On the other hand, ELK requires users to set up their own infrastructure using Elasticsearch, Logstash, and Kibana components. Users are responsible for managing their deployment and scaling the infrastructure as per their requirements.

  2. Ease of Use: Coralogix is designed to be user-friendly and intuitive, providing a simple and streamlined interface for log management. It offers automatic parsing and categorization of logs, reducing the need for manual configuration. ELK, while feature-rich, requires a certain level of technical expertise and manual configuration to extract meaningful insights from logs.

  3. Data Privacy and Security: Coralogix offers end-to-end encryption for data in transit and at rest, ensuring the privacy and security of log data. It is compliant with various industry standards and regulations such as GDPR and HIPAA. ELK, being a self-hosted solution, relies on the users' implementation of security measures to ensure data privacy and compliance.

  4. Real-time Alerts and Machine Learning: Coralogix incorporates machine learning algorithms that automatically detect patterns, anomalies, and correlations in log data. It provides real-time alerts, allowing users to take immediate action on critical events. ELK offers similar capabilities but requires manual setup and configuration of alerting rules and machine learning algorithms.

  5. Pricing Model: Coralogix offers a predictable pricing model based on the volume of log data ingested and retained. It has transparent pricing tiers and does not charge extra for data parsing or retention. ELK, being an open-source platform, does not have a direct pricing model. However, users may need to consider the cost of infrastructure, maintenance, and additional tools or plugins required to enhance the functionality of ELK.

  6. Vendor Support: Coralogix provides 24/7 customer support via live chat, email, and phone. They offer thorough documentation, tutorials, and a knowledge base to assist users in troubleshooting and utilizing the platform effectively. ELK, being an open-source solution, relies on community support and documentation. While there is an active user community, professional technical support is limited and may require external consulting services.

In Summary, Coralogix offers a managed log management platform with simplified setup, user-friendly interface, advanced machine learning capabilities, predictable pricing, and comprehensive vendor support. On the other hand, ELK requires users to set up and manage their infrastructure, requires technical expertise, and relies on the user community for support.

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Detailed Comparison

ELK
ELK
Coralogix
Coralogix

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.

Coralogix is a stateful streaming data platform that provides real-time insights and long-term trend analysis with no reliance on storage or indexing, solving the monitoring challenges of data growth in large-scale systems.

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Real-time live tail, data clustering, Logs2Metrics, dynamic alerting, Anomaly Detection, auto-parsing, data enrichment, TCO optimizer, version benchmarks, archive query, reindexing, RBAC, SSO & SAML
Statistics
Stacks
863
Stacks
32
Followers
941
Followers
43
Votes
23
Votes
0
Pros & Cons
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
No community feedback yet
Integrations
No integrations available
StatusPage.io
StatusPage.io
Spark Framework
Spark Framework
Beats
Beats
Fluent Bit
Fluent Bit
Akamai
Akamai
Azure Functions
Azure Functions
Bitbucket
Bitbucket
Kubernetes
Kubernetes
Slack
Slack
Jenkins
Jenkins

What are some alternatives to ELK, Coralogix?

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.

Sumo Logic

Sumo Logic

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.

Splunk

Splunk

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

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