Logmatic vs CHAOSSEARCH

Overview

Logmatic

Stacks66

Followers77

Votes238

CHAOSSEARCH

Stacks7

Followers17

Votes10

Logmatic vs CHAOSSEARCH: What are the differences?

Logmatic: Funnel all logs, metrics and machine events into a single hub. 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; CHAOSSEARCH: A cloud-native search analytics platform on object storage. It is a cloud-native search analytics platform on object storage. It uniquely decouples storage from compute (zero local storage) and gives you an entirely new way to store, index, and execute your queries at any scale - from terabytes to petabytes and beyond!

We enable you to streamline and automate your data management process within your own S3 account — no data movement, transformation, or schema definition.

Logmatic and CHAOSSEARCH belong to "Log Management" category of the tech stack.

Some of the features offered by Logmatic are:

Easy Set Up: Just send us any type of logs - front to back - machine events, or metrics and we will do the powerful processing. No Logmatic.io agent
Enrichment & Parsing: Automatic recognition, Customisable grok parsers, Integrated IP geolocation and user-agent parsing
Investigation: Faceted and full-text granular searches, Real-time search results

On the other hand, CHAOSSEARCH provides the following key features:

Amazon S3 and Elasticsearch API support
Fully integrated Kibana visualization with enhancements
Backed by Amazon S3 — never move your data

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Detailed Comparison

Logmatic	CHAOSSEARCH
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.	ChaosSearch's Chaos LakeDB helps organizations make better use of their log and event data. The cloud data platform enables users to search, analyze, and visualize application telemetry data stored in Amazon S3 or Google Cloud Platform.
Easy Set Up: Just send us any type of logs - front to back - machine events, or metrics and we will do the powerful processing. No Logmatic.io agent; Enrichment & Parsing: Automatic recognition, Customisable grok parsers, Integrated IP geolocation and user-agent parsing; Investigation: Faceted and full-text granular searches, Real-time search results; Monitoring: Real-time, customizable log analyses, Clickable dashboards, powerful data vizualization; Alerting: via email, Slack, pagerduty, hipchat, webhook. Create highly flexible alerts based on your logs analyses with search queries or metrics, and user-defined thresholds	Amazon S3 and Elasticsearch API support; Fully integrated Kibana visualization with enhancements; Backed by Amazon S3 — never move your data; Multi-user, SSO/OAuth; Alerting notification with webhook integrations; Enhanced query management with burst/cancel; Comprehensive customer dashboard for data analytics and tracking; Unlimited data retention and queries
Statistics
Stacks 66	Stacks 7
Followers 77	Followers 17
Votes 238	Votes 10
Pros & Cons
Pros 35 Powerful Data Vizualization 31 Live search 30 Super reactive interface 28 Amazing support team 27 Real-time alerts on slack	Pros 1 Centralized data 1 Managed service 1 Compressed index size 1 Schema on read 1 Lower cost then elasticsearch
Integrations
Segment AWS CloudTrail PagerDuty Heroku Docker Slack Rails Java Golang Android SDK	Amazon S3 NGINX OpenAI Amazon SQS Amazon CloudFront PagerDuty CloudFlare Logstash Fluentd AWS CloudTrail

What are some alternatives to Logmatic, CHAOSSEARCH?

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.

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.

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.

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.