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  5. Grafana vs Sumo Logic

Grafana vs Sumo Logic

OverviewDecisionsComparisonAlternatives

Overview

Sumo Logic
Sumo Logic
Stacks192
Followers282
Votes21
Grafana
Grafana
Stacks18.4K
Followers14.6K
Votes415
GitHub Stars70.7K
Forks13.1K

Grafana vs Sumo Logic: What are the differences?

Key Differences between Grafana and Sumo Logic

Introduction

Grafana and Sumo Logic are both popular tools used for monitoring and analyzing data in IT systems. Although they serve similar purposes, there are key differences between the two. This article aims to highlight the important distinctions.

1. Data Visualization Capabilities:

Grafana is primarily a data visualization and dashboarding tool. It provides a rich set of features and options to create visually appealing and interactive dashboards. On the other hand, Sumo Logic is more focused on log and machine data analytics, offering advanced search and correlation capabilities. While Grafana excels at displaying data in a customizable and intuitive manner, Sumo Logic empowers users to deeply analyze log data.

2. Open-Source vs Commercial Product:

Grafana is an open-source project that enjoys a large and active community. As a result, it benefits from continuous development and frequently releases new features and improvements. In contrast, Sumo Logic is a commercial product that requires a subscription. With a commercial product, users gain access to support and regular updates but may have to pay for licensing and usage.

3. Data Sources and Integrations:

Grafana supports a wide range of databases, time series databases, and other data sources, such as MySQL, Prometheus, Elasticsearch, and InfluxDB. It also allows users to create custom data sources and integrate with external services through plugins. On the other hand, Sumo Logic specializes in log analysis and offers built-in integrations with various sources like AWS CloudTrail, Kubernetes, and more. It also provides APIs for custom log ingestion.

4. Alerting and Monitoring Features:

Grafana provides robust alerting and monitoring capabilities, allowing users to set alerts based on threshold conditions and receive notifications. It supports different notification channels and has the ability to create complex alert rules. Sumo Logic, as a log analytics platform, also offers alerting functionality but is more focused on analyzing logs in real-time and identifying patterns or anomalies.

5. Querying and Searching Capabilities:

Grafana offers a powerful query editor that allows users to write queries using different database query languages. It provides an intuitive interface for creating queries and customizing visualizations. On the other hand, Sumo Logic excels at log searching with its advanced search language. It offers features like autocomplete, field-value suggestions, and the ability to search across multiple logs in real-time.

6. Multi-Tenancy and Access Control:

Grafana supports multi-tenancy, allowing users to create organizations, teams, and users with different access levels to dashboards and data sources. It provides fine-grained access control and role-based access management. Sumo Logic, as a cloud-native analytics platform, also offers multi-tenancy features but with more granular control. It provides features like data partitioning, user management, and access controls at various levels.

In Summary, Grafana is more focused on data visualization and offers extensive customization options, while Sumo Logic specializes in log analytics and provides advanced searching and correlation capabilities. Grafana is open-source, while Sumo Logic is a commercial product.

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Advice on Sumo Logic, Grafana

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
Susmita
Susmita

Senior SRE at African Bank

Jul 28, 2020

Needs adviceonGrafanaGrafana

Looking for a tool which can be used for mainly dashboard purposes, but here are the main requirements:

  • Must be able to get custom data from AS400,
  • Able to display automation test results,
  • System monitoring / Nginx API,
  • Able to get data from 3rd parties DB.

Grafana is almost solving all the problems, except AS400 and no database to get automation test results.

869k views869k
Comments
Mat
Mat

Head of Cloud at Mats Cloud

Oct 30, 2019

Needs advice

We're looking for a Monitoring and Logging tool. It has to support AWS (mostly 100% serverless, Lambdas, SNS, SQS, API GW, CloudFront, Autora, etc.), as well as Azure and GCP (for now mostly used as pure IaaS, with a lot of cognitive services, and mostly managed DB). Hopefully, something not as expensive as Datadog or New relic, as our SRE team could support the tool inhouse. At the moment, we primarily use CloudWatch for AWS and Pandora for most on-prem.

794k views794k
Comments

Detailed Comparison

Sumo Logic
Sumo Logic
Grafana
Grafana

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.

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.

Ability to collect data from on-premise sources, private/public/hybrid clouds, and SaaS/PaaS environments;Real-time continuous query engine that constantly updates dashboards and reports for immediate visualization;Anomaly detection engine that enables companies to proactively uncover events without writing rules;LogReduce, our pattern-recognition engine, that distills tens/hundreds of thousands of log messages into a set of patterns for easier issue identification and resolution;The ability to support data bursts on-demand with our elastic log processing architecture;Real-time alerts and notifications
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
Statistics
GitHub Stars
-
GitHub Stars
70.7K
GitHub Forks
-
GitHub Forks
13.1K
Stacks
192
Stacks
18.4K
Followers
282
Followers
14.6K
Votes
21
Votes
415
Pros & Cons
Pros
  • 11
    Search capabilities
  • 5
    Live event streaming
  • 3
    Pci 3.0 compliant
  • 2
    Easy to setup
Cons
  • 2
    Expensive
  • 1
    Occasionally unreliable log ingestion
  • 1
    Missing Monitoring
Pros
  • 89
    Beautiful
  • 68
    Graphs are interactive
  • 57
    Free
  • 56
    Easy
  • 34
    Nicer than the Graphite web interface
Cons
  • 1
    No interactive query builder
Integrations
Amazon CloudFront
Amazon CloudFront
Amazon S3
Amazon S3
Akamai
Akamai
AWS CloudTrail
AWS CloudTrail
Graphite
Graphite
InfluxDB
InfluxDB

What are some alternatives to Sumo Logic, Grafana?

Papertrail

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.

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.

Logmatic

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

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

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

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.

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

Graylog

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.

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