Software Alternatives & Reviews

Kibana VS Loggly

Compare Kibana VS Loggly and see what are their differences

Kibana logo Kibana

Easily visualize data pushed into Elasticsearch from Logstash, es-hadoop or 3rd party technologies...

Loggly logo Loggly

The world's most popular cloud log management service delivers application intelligence. No Software. No Downloads. No Sweat. Free Trial!
  • Kibana Landing page
    Landing page //
    2023-10-21
  • Loggly Landing page
    Landing page //
    2023-01-05

Kibana videos

Analyzing Server Logs with Kibana

More videos:

  • Review - Grafana vs Kibana | Beautiful data graphs and log analysis systems

Loggly videos

Pingdom, Loggly, and Digital Experience Monitoring - SolarWinds Lab Episode #63

More videos:

  • Review - SolarWinds Lab Bits: Papertrail, Loggly in Observability Action

Category Popularity

0-100% (relative to Kibana and Loggly)
Monitoring Tools
56 56%
44% 44
Log Management
44 44%
56% 56
Data Dashboard
100 100%
0% 0
Machine Data Analytics
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Kibana and Loggly

Kibana Reviews

Top 10 Grafana Alternatives in 2024
Assess how well the Grafana alternative integrates with your existing tools stack. For instance, Kibana is best suited for Elasticsearch environments, while Middleware is the most advanced solution to operate and monitor in Kubernetes environments.
Source: middleware.io
Top 11 Grafana Alternatives & Competitors [2024]
Kibana is an integral component within the Elastic Stack (ELK), offering advanced visualization and analysis capabilities. Beats, which is also a part of the ELK Stack, is responsible for collecting and forwarding log data to Logstash for initial processing. Logstash, in turn, applies various data transformations and subsequently stores the processed data in Elasticsearch....
Source: signoz.io
10 Best Linux Monitoring Tools and Software to Improve Server Performance [2022 Comparison]
Lastly, the Elastic Stack (ELK Stack) is a well-known tool for Linux performance monitoring. It’s composed of Elasticsearch (full-text search), Logstash (a log aggregator), Kibana (visualization via graphs and charts), and Beats (lightweight metrics collectors and shippers).
Source: sematext.com
4 Best Open Source Dashboard Monitoring Tools In 2019
Kibana is part of Elastic’s product suite and is often used in what we call an ELK stack : ElasticSearch + Logstash + Kibana.

Loggly Reviews

10 Best Grafana Alternatives [2023 Comparison]
Another log management-focused Grafana alternative that we’re adding to this list is Loggly from SolarWinds. Loggly is a cloud-based service that allows users to transmit over HTTP/SYSLOg directly.
Source: sematext.com
11 Best Splunk Alternatives
Loggly is a free SaaS-based log monitoring application that can handle massive amounts of log data from any source. Loggly allows you to examine log events from various sources in real-time, including cloud platforms, databases, mobile apps, operating systems, and more. You can see a brief performance for systems across your environment on the dashboard, with metrics down to...
Top 5 NGINX Log Analyzer Tools – Driving Business Growth with Data
SolarWinds® Loggly® is a powerful cloud-based tool designed to simplify and speed up log aggregation, monitoring, and analysis. It centralizes logs gathered from a distributed environment to correlate data for better analysis. Loggly makes log analysis simpler and faster and requires minimal configuration to set up. It can collect logs from various sources without installing...
Top 21 Log Management Software Tools
Loggly is a cloud-based log management services that can dig deep into extensive collections of log data in real-time while giving you the most crucial information, on how to improve your code and deliver a better customer experience. It offers custom tags that let you find related errors throughout your log data. Also, it has data analysis dashboard that gives you a visual...
Best DataDog Alternatives, Replacements & Competitors for Application & Log Monitoring
Loggly also allows you to integrate with the common DevOps tools, so that your team can share log analytics and real-time stream event logs. Its integration to apps such as HipChat, Slack, Jira, PagerDuty allows higher team collaboration. You can even integrate it with your tools with Loggly’s powerful API.
Source: www.pcwdld.com

Social recommendations and mentions

Based on our record, Loggly seems to be more popular. It has been mentiond 1 time since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Kibana mentions (0)

We have not tracked any mentions of Kibana yet. Tracking of Kibana recommendations started around Mar 2021.

Loggly mentions (1)

  • “Print” Is the Only Debug Tool You Need
    Print works on Staging and Production: It’s not easy to work with debug tools when you’re dealing with code running on the server. On the other hand, print statements work there too. Even if you don’t have access to STDOUT, you can write statements to a file or send them to a logging server/service (e.g, Loggly). - Source: dev.to / almost 2 years ago

What are some alternatives?

When comparing Kibana and Loggly, you can also consider the following products

Grafana - Data visualization & Monitoring with support for Graphite, InfluxDB, Prometheus, Elasticsearch and many more databases

Splunk - Splunk's operational intelligence platform helps unearth intelligent insights from machine data.

Datadog - See metrics from all of your apps, tools & services in one place with Datadog's cloud monitoring as a service solution. Try it for free.

Prometheus - An open-source systems monitoring and alerting toolkit.

Sumo Logic - Sumo Logic is a secure, purpose-built cloud-based machine data analytics service that leverages big data for real-time IT insights

Graylog - Graylog is an open source log management platform for collecting, indexing, and analyzing both structured and unstructured data.