Kibana vs Librato

Overview

Librato

Stacks93

Followers68

Votes31

Kibana

Stacks20.6K

Followers16.4K

Votes262

GitHub Stars20.8K

Forks8.5K

Kibana vs Librato: What are the differences?

Kibana: Explore & Visualize Your Data. Kibana is an open source (Apache Licensed), browser based analytics and search dashboard for Elasticsearch. Kibana is a snap to setup and start using. Kibana strives to be easy to get started with, while also being flexible and powerful, just like Elasticsearch; Librato: Real-Time Cloud Monitoring. Librato provides a complete solution for monitoring and understanding the metrics that impact your business at all levels of the stack. We provide everything you need to visualize, analyze, and actively alert on the metrics that matter to you.

Kibana can be classified as a tool in the "Monitoring Tools" category, while Librato is grouped under "Performance Monitoring".

Some of the features offered by Kibana are:

Flexible analytics and visualization platform
Real-time summary and charting of streaming data
Intuitive interface for a variety of users

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

REST API accepts any metrics you define
Turnkey integration with AWS, Heroku, collectd, and more
Integrates with more than 100 open-source agents, and language bindings

"Easy to setup" is the primary reason why developers consider Kibana over the competitors, whereas "Easy setup" was stated as the key factor in picking Librato.

Kibana is an open source tool with 12.4K GitHub stars and 4.81K GitHub forks. Here's a link to Kibana's open source repository on GitHub.

According to the StackShare community, Kibana has a broader approval, being mentioned in 907 company stacks & 479 developers stacks; compared to Librato, which is listed in 61 company stacks and 5 developer stacks.

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Advice on Librato, Kibana

matteo1989it

Jun 26, 2019

Reviewon

Kibana

Grafana

Elasticsearch

I use both Kibana and Grafana on my workplace: Kibana for logging and Grafana for monitoring. Since you already work with Elasticsearch, I think Kibana is the safest choice in terms of ease of use and variety of messages it can manage, while Grafana has still (in my opinion) a strong link to metrics

757k views757k

Comments

StackShare

Jun 25, 2019

Needs advice

From a StackShare Community member: “We need better analytics & insights into our Elasticsearch cluster. Grafana, which ships with advanced support for Elasticsearch, looks great but isn’t officially supported/endorsed by Elastic. Kibana, on the other hand, is made and supported by Elastic. I’m wondering what people suggest in this situation."

663k views663k

Comments

abrahamfathman

Jun 26, 2019

Reviewon

Kibana

Splunk

Grafana

I use Kibana because it ships with the ELK stack. I don't find it as powerful as Splunk however it is light years above grepping through log files. We previously used Grafana but found it to be annoying to maintain a separate tool outside of the ELK stack. We were able to get everything we needed from Kibana.

2.29M views2.29M

Comments

Detailed Comparison

Librato	Kibana
Librato provides a complete solution for monitoring and understanding the metrics that impact your business at all levels of the stack. We provide everything you need to visualize, analyze, and actively alert on the metrics that matter to you.	Kibana is an open source (Apache Licensed), browser based analytics and search dashboard for Elasticsearch. Kibana is a snap to setup and start using. Kibana strives to be easy to get started with, while also being flexible and powerful, just like Elasticsearch.
REST API accepts any metrics you define; Turnkey integration with AWS, Heroku, collectd, and more; Integrates with more than 100 open-source agents, and language bindings; Designed for code-instrumentation as well as systems monitoring; Powerful correlation capabilities to compare metrics at any layer in the stack; Apply mathematical and transformative functions to existing metrics; Unlimited dashboards, notifications and collaborator accounts; Annotation streams for tracking aperiodic events; Advanced alerting that ties into best of breed notification services; World class support; Loved equally by operators, software engineers, data engineers, and managers;	Flexible analytics and visualization platform;Real-time summary and charting of streaming data;Intuitive interface for a variety of users;Instant sharing and embedding of dashboards
Statistics
GitHub Stars -	GitHub Stars 20.8K
GitHub Forks -	GitHub Forks 8.5K
Stacks 93	Stacks 20.6K
Followers 68	Followers 16.4K
Votes 31	Votes 262
Pros & Cons
Pros 14 Easy setup 8 Great visualization 4 Heroku integration 3 Free tier 2 Alerting	Pros 88 Easy to setup 65 Free 45 Can search text 21 Has pie chart 13 X-axis is not restricted to timestamp Cons 7 Unintuituve 4 Works on top of elastic only 4 Elasticsearch is huge 3 Hardweight UI
Integrations
PagerDuty Slack Amazon SNS Heroku Flowdock OpsGenie Amazon CloudWatch HipChat collectd Bigpanda	Logstash Elasticsearch Beats

What are some alternatives to Librato, Kibana?

New Relic

The world’s best software and DevOps teams rely on New Relic to move faster, make better decisions and create best-in-class digital experiences. If you run software, you need to run New Relic. More than 50% of the Fortune 100 do too.

Datadog

Datadog is the leading service for cloud-scale monitoring. It is used by IT, operations, and development teams who build and operate applications that run on dynamic or hybrid cloud infrastructure. Start monitoring in minutes with Datadog!

Grafana

Grafana is a general purpose dashboard and graph composer. It's focused on providing rich ways to visualize time series metrics, mainly though graphs but supports other ways to visualize data through a pluggable panel architecture. It currently has rich support for for Graphite, InfluxDB and OpenTSDB. But supports other data sources via plugins.

Prometheus

Prometheus is a systems and service monitoring system. It collects metrics from configured targets at given intervals, evaluates rule expressions, displays the results, and can trigger alerts if some condition is observed to be true.

Raygun

Raygun gives you a window into how users are really experiencing your software applications. Detect, diagnose and resolve issues that are affecting end users with greater speed and accuracy.

Nagios

Nagios is a host/service/network monitoring program written in C and released under the GNU General Public License.

AppSignal

AppSignal gives you and your team alerts and detailed metrics about your Ruby, Node.js or Elixir application. Sensible pricing, no aggressive sales & support by developers.

Netdata

Netdata collects metrics per second & presents them in low-latency dashboards. It's designed to run on all of your physical & virtual servers, cloud deployments, Kubernetes clusters & edge/IoT devices, to monitor systems, containers & apps

AppDynamics

AppDynamics develops application performance management (APM) solutions that deliver problem resolution for highly distributed applications through transaction flow monitoring and deep diagnostics.

Zabbix

Zabbix is a mature and effortless enterprise-class open source monitoring solution for network monitoring and application monitoring of millions of metrics.

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Kibana vs Librato: What are the differences?

Kibana can be classified as a tool in the "Monitoring Tools" category, while Librato is grouped under "Performance Monitoring".

Some of the features offered by Kibana are:

Flexible analytics and visualization platform
Real-time summary and charting of streaming data
Intuitive interface for a variety of users

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

REST API accepts any metrics you define
Turnkey integration with AWS, Heroku, collectd, and more
Integrates with more than 100 open-source agents, and language bindings

"Easy to setup" is the primary reason why developers consider Kibana over the competitors, whereas "Easy setup" was stated as the key factor in picking Librato.

Kibana is an open source tool with 12.4K GitHub stars and 4.81K GitHub forks. Here's a link to Kibana's open source repository on GitHub.