StackShareStackShare
Follow on
StackShare

Discover and share technology stacks from companies around the world.

Follow on

© 2025 StackShare. All rights reserved.

Product

  • Stacks
  • Tools
  • Feed

Company

  • About
  • Contact

Legal

  • Privacy Policy
  • Terms of Service
  1. Stackups
  2. DevOps
  3. Monitoring
  4. Monitoring Tools
  5. Grafana vs Sysdig

Grafana vs Sysdig

OverviewDecisionsComparisonAlternatives

Overview

Grafana
Grafana
Stacks18.4K
Followers14.6K
Votes415
GitHub Stars70.7K
Forks13.1K
Sysdig
Sysdig
Stacks80
Followers150
Votes15
GitHub Stars8.1K
Forks748

Grafana vs Sysdig: What are the differences?

Introduction

Grafana and Sysdig are two popular tools used in the field of monitoring and observability. While both serve the purpose of providing insights into system performance, there are several key differences between them.

  1. Integration with Data Sources: Grafana supports a wide range of data sources including popular databases, cloud services, and other monitoring systems, making it highly versatile in terms of data integration. On the other hand, Sysdig primarily focuses on infrastructure and container monitoring, making it more specialized in that area.

  2. Visualization Capabilities: Grafana offers a rich set of visualization options with customizable dashboards and panels, allowing users to create interactive charts, graphs, and tables. Sysdig, on the other hand, provides pre-built dashboards and visualizations that are specifically designed for container and application monitoring.

  3. Alerting and Notification: Grafana has a robust alerting system that allows users to set up notifications based on predefined thresholds or complex queries. It also provides integrations with popular communication channels like Slack and email. In contrast, Sysdig offers a more simplified alerting mechanism focused on container-level metrics, which may be sufficient for specific use cases.

  4. Metrics Collection: Grafana relies on external data sources to collect metrics, which requires the setup of separate monitoring agents or exporters. Sysdig, on the other hand, has its own instrumentation agent that provides deep visibility into the system by directly capturing metrics from the kernel level, eliminating the need for additional agents.

  5. Security and Compliance: Grafana provides various security features like user authentication, role-based access control, and encrypted communication, which make it suitable for enterprises with strict security and compliance requirements. Sysdig also offers similar security features but is more focused on container security and compliance, providing capabilities like container vulnerability scanning and runtime threat detection.

  6. Community and Ecosystem: Grafana has a large and active community, which means there are a lot of user-contributed plugins, integrations, and community-driven resources available. This makes it easier to extend the functionality of Grafana and find support. Sysdig also has a growing community, but it may not have the same level of ecosystem as Grafana.

In Summary, Grafana is a versatile tool with extensive data source integration and visualization capabilities, while Sysdig is specialized in container monitoring with deep system-level visibility and container-centric security features.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs
CLI (Node.js)
or
Manual

Advice on Grafana, Sysdig

Leonardo Henrique da
Leonardo Henrique da

Pleno QA Enginneer at SolarMarket

Dec 8, 2020

Decided

The objective of this work was to develop a system to monitor the materials of a production line using IoT technology. Currently, the process of monitoring and replacing parts depends on manual services. For this, load cells, microcontroller, Broker MQTT, Telegraf, InfluxDB, and Grafana were used. It was implemented in a workflow that had the function of collecting sensor data, storing it in a database, and visualizing it in the form of weight and quantity. With these developed solutions, he hopes to contribute to the logistics area, in the replacement and control of materials.

402k views402k
Comments
Raja Subramaniam
Raja Subramaniam

Aug 27, 2019

Needs adviceonPrometheusPrometheusKubernetesKubernetesSysdigSysdig

We have Prometheus as a monitoring engine as a part of our stack which contains Kubernetes cluster, container images and other open source tools. Also, I am aware that Sysdig can be integrated with Prometheus but I really wanted to know whether Sysdig or sysdig+prometheus will make better monitoring solution.

779k views779k
Comments
StackShare
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

Detailed Comparison

Grafana
Grafana
Sysdig
Sysdig

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.

Sysdig is open source, system-level exploration: capture system state and activity from a running Linux instance, then save, filter and analyze. Sysdig is scriptable in Lua and includes a command line interface and a powerful interactive UI, csysdig, that runs in your terminal. Think of sysdig as strace + tcpdump + htop + iftop + lsof + awesome sauce. With state of the art container visibility on top.

Create, edit, save & search dashboards;Change column spans and row heights;Drag and drop panels to rearrange;Use InfluxDB or Elasticsearch as dashboard storage;Import & export dashboard (json file);Import dashboard from Graphite;Templating
Real-Time Dashboard; Historical Replay; Dynamic Topology; Intelligent Alerting
Statistics
GitHub Stars
70.7K
GitHub Stars
8.1K
GitHub Forks
13.1K
GitHub Forks
748
Stacks
18.4K
Stacks
80
Followers
14.6K
Followers
150
Votes
415
Votes
15
Pros & Cons
Pros
  • 89
    Beautiful
  • 68
    Graphs are interactive
  • 57
    Free
  • 56
    Easy
  • 34
    Nicer than the Graphite web interface
Cons
  • 1
    No interactive query builder
Pros
  • 5
    Monitoring
  • 5
    Easy setup
  • 5
    Powerful web app
Integrations
Graphite
Graphite
InfluxDB
InfluxDB
Docker
Docker

What are some alternatives to Grafana, Sysdig?

Kibana

Kibana

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.

Prometheus

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.

Nagios

Nagios

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

Netdata

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

Zabbix

Zabbix

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

Sensu

Sensu

Sensu is the future-proof solution for multi-cloud monitoring at scale. The Sensu monitoring event pipeline empowers businesses to automate their monitoring workflows and gain deep visibility into their multi-cloud environments.

Graphite

Graphite

Graphite does two things: 1) Store numeric time-series data and 2) Render graphs of this data on demand

Lumigo

Lumigo

Lumigo is an observability platform built for developers, unifying distributed tracing with payload data, log management, and real-time metrics to help you deeply understand and troubleshoot your systems.

StatsD

StatsD

It is a network daemon that runs on the Node.js platform and listens for statistics, like counters and timers, sent over UDP or TCP and sends aggregates to one or more pluggable backend services (e.g., Graphite).

Jaeger

Jaeger

Jaeger, a Distributed Tracing System

Related Comparisons

GitHub
Bitbucket

Bitbucket vs GitHub vs GitLab

GitHub
Bitbucket

AWS CodeCommit vs Bitbucket vs GitHub

Kubernetes
Rancher

Docker Swarm vs Kubernetes vs Rancher

gulp
Grunt

Grunt vs Webpack vs gulp

Graphite
Kibana

Grafana vs Graphite vs Kibana