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  1. Stackups
  2. DevOps
  3. Log Management
  4. Log Management
  5. Grafana vs Scalyr

Grafana vs Scalyr

OverviewDecisionsComparisonAlternatives

Overview

Scalyr
Scalyr
Stacks40
Followers59
Votes12
Grafana
Grafana
Stacks18.4K
Followers14.6K
Votes415
GitHub Stars70.7K
Forks13.1K

Grafana vs Scalyr: What are the differences?

Introduction: Grafana and Scalyr are both powerful monitoring and visualization tools used in the field of software development and operations. However, there are key differences between the two that make each unique in its own way. Below, we explore and highlight six notable differences between Grafana and Scalyr.

  1. Architecture: Grafana is primarily a time series platform that integrates with various data sources, allowing users to create and visualize custom dashboards. It supports SQL and NoSQL databases, as well as cloud services like AWS and Azure. On the other hand, Scalyr is a log management and analysis tool that focuses on fast log ingestion, querying, and storage. It offers a proprietary columnar database that allows for high-speed searches across large log datasets.

  2. User Interface and Visualization: Grafana provides a highly customizable and user-friendly interface for data visualization. It offers a wide range of visualization options, including graphs, charts, tables, and heat maps, along with the ability to add annotations and alerts. Scalyr, on the other hand, focuses primarily on log analysis and offers a streamlined user interface optimized for log exploration, filtering, and parsing. It provides visualizations and query capabilities specifically tailored for log data.

  3. Flexibility and Extensibility: Grafana is known for its extensibility, offering a plugin architecture that allows users to integrate with additional data sources and extend its functionality. It also supports custom panels and alerting. Scalyr, on the other hand, provides a powerful query language and filtering capabilities for log data analysis, but its extensibility options are more limited compared to Grafana.

  4. Alerting and Notifications: Grafana provides a sophisticated alerting system that allows users to set up complex alert conditions based on their data and receive notifications via various channels such as email, Slack, or PagerDuty. Scalyr also offers alerting capabilities, allowing users to create alerts based on log data patterns or specific log events and send notifications via email or webhooks. However, Grafana's alerting system offers more flexibility and a wider range of notification options.

  5. Community and Ecosystem: Grafana has a large and active community, with a wide range of plugins and dashboards available for users to leverage. It benefits from extensive community support, regular updates, and a rich ecosystem. Scalyr, on the other hand, has a smaller but dedicated community, with a focus on log analysis and observability. While it offers integrations with popular tools and services, its ecosystem is not as extensive as Grafana's.

  6. Pricing and Licensing: Grafana is an open-source project with a permissive Apache license, which allows users to use, modify, and distribute it freely. While Grafana itself is free, it offers optional enterprise-level features and support that require a paid subscription. Scalyr, on the other hand, is a commercial product that offers different pricing tiers based on data volume and retention requirements. It provides various plans including free trials, but there is no free open-source version available.

In Summary, Grafana and Scalyr differ in their architecture, user interface, flexibility, alerting capabilities, community support, and pricing. While Grafana focuses on time series visualization with extensive plugin support and a customizable dashboard, Scalyr is specialized in log management and analysis with fast log ingestion and advanced querying capabilities.

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Advice on Scalyr, 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

Scalyr
Scalyr
Grafana
Grafana

Scalyr is log search and management so fast you actually use it. Custom dashboards, graphs, alerts and log parsers allow you to monitor what's important to you. We're proud to serve customers like Business Insider, Opendoor, and Grab.

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.

Remote log monitoring; log aggregation; real-time reporting; custom alerts; custom dashboards; custom log parsers; user permissions; audit trails; log search and drill-down; custom metrics
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
40
Stacks
18.4K
Followers
59
Followers
14.6K
Votes
12
Votes
415
Pros & Cons
Pros
  • 7
    Speed of queries
  • 4
    Blazing fast logs search
  • 1
    Simple usage
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
HipChat
HipChat
Rackspace Cloud Servers
Rackspace Cloud Servers
Docker
Docker
Redis
Redis
Kubernetes
Kubernetes
Amazon Redshift
Amazon Redshift
Amazon RDS
Amazon RDS
PostgreSQL
PostgreSQL
Apache HTTP Server
Apache HTTP Server
MySQL
MySQL
Graphite
Graphite
InfluxDB
InfluxDB

What are some alternatives to Scalyr, 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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