ELK vs logz.io Comparison | StackShare | StackShare

ELK vs logz.io

Overview

ELK

Stacks875

Followers941

Votes23

logz.io

Stacks59

Followers54

Votes0

ELK vs logz.io: What are the differences?

ELK: The acronym for three open source projects: Elasticsearch, Logstash, and Kibana. 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; logz.io: A log management and log analysis service. It provides Elasticsearch, Logstash and Kibana on the cloud with alerts, unlimited scalability and free ELK apps. Index, search & visualize your data.

ELK and logz.io can be categorized as "Log Management" tools.

Detailed Comparison

ELK	logz.io
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.	It provides Elasticsearch, Logstash and Kibana on the cloud with alerts, unlimited scalability and free ELK apps. Index, search & visualize your data.
Statistics
Stacks 875	Stacks 59
Followers 941	Followers 54
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

What are some alternatives to ELK, logz.io?

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

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

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 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 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

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

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

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.