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Grafana vs Graylog: What are the differences?
Grafana and Graylog are two popular open-source tools used for monitoring and visualization of data. Let's explore the key differences between them:
Data Sources: Grafana focuses mainly on time-series data and supports various data sources like Prometheus, Graphite, and Elasticsearch. On the other hand, Graylog is primarily used for log management and analysis, making it an ideal choice for centralized logging. It supports standard log formats and can collect logs from various sources including applications, network devices, and operating systems.
Visualization Capabilities: Another significant difference lies in their visualization capabilities. Grafana is renowned for its advanced and comprehensive visualization features. It offers a wide range of visualizations like charts, graphs, tables, and heatmaps, allowing users to create highly customized dashboards. Graylog, on the other hand, focuses more on log analysis and provides limited visualization options compared to Grafana. While it does offer basic visualizations like histograms and scatter plots, its primary focus is on log search and analysis.
Alerting System: Grafana features a robust alerting system that allows users to set up alerts based on specific conditions and thresholds. It provides flexibility in defining alert rules and supports various notification channels like email, Slack, and PagerDuty. Graylog, on the other hand, has a basic alerting system that primarily focuses on log-based alerting. It allows users to create alerts based on log patterns and supports notification channels like email and HTTP notifications.
Log Searching and Filtering: Graylog excels in log searching and filtering capabilities. It provides powerful searching mechanisms that allow users to search logs based on various criteria like time range, keywords, and specific fields. It also supports advanced filtering options to narrow down search results. Grafana, however, does not provide dedicated log searching and filtering capabilities as it primarily focuses on visualization. While it does support querying data sources for time-series data, it lacks the extensive log search functionalities provided by Graylog.
User Interface and Customization: When it comes to the user interface, Grafana offers a highly intuitive and customizable interface. It provides a drag-and-drop dashboard builder with a wide range of visualization options, allowing users to create visually appealing and interactive dashboards. Grafana also supports theming and templating options for further customization. Graylog, on the other hand, has a slightly less flexible user interface compared to Grafana. Although it offers basic customization options like creating custom dashboards and widgets, it may not match the level of customization provided by Grafana.
Community and Ecosystem: Both Grafana and Graylog have active communities and a rich ecosystem of plugins and integrations. However, Grafana has a larger and more diverse community with extensive plugin support. Grafana's community-contributed plugins cover a wide range of data sources and integrations, making it highly extensible. Graylog also has a growing community and supports various integrations, particularly in the log management space. However, the plugin ecosystem may not be as extensive as Grafana.
In summary, Grafana focuses on time-series data visualization with advanced features and customization options, while Graylog is primarily designed for log management and analysis with powerful log searching capabilities. Grafana offers a wider range of visualization options and a more flexible user interface, while Graylog excels in log searching and filtering. Additionally, Grafana has a larger and more diverse community with extensive plugin support compared to Graylog.
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.
You can look out for Prometheus Instrumentation (https://prometheus.io/docs/practices/instrumentation/) Client Library available in various languages https://prometheus.io/docs/instrumenting/clientlibs/ to create the custom metric you need for AS4000 and then Grafana can query the newly instrumented metric to show on the dashboard.
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.
this is quite affordable and provides what you seem to be looking for. you can see a whole thing about the APM space here https://www.apmexperts.com/observability/ranking-the-observability-offerings/
I worked with Datadog at least one year and my position is that commercial tools like Datadog are the best option to consolidate and analyze your metrics. Obviously, if you can't pay the tool, the best free options are the mix of Prometheus with their Alert Manager and Grafana to visualize (that are complementary not substitutable). But I think that no use a good tool it's finally more expensive that use a not really good implementation of free tools and you will pay also to maintain its.
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."
For our Predictive Analytics platform, we have used both Grafana and Kibana
- Grafana based demo video: https://www.youtube.com/watch?v=tdTB2AcU4Sg
- Kibana based reporting screenshot: https://imgur.com/vuVvZKN
Kibana has predictions and ML algorithms support, so if you need them, you may be better off with Kibana . The multi-variate analysis features it provide are very unique (not available in Grafana).
For everything else, definitely Grafana . Especially the number of supported data sources, and plugins clearly makes Grafana a winner (in just visualization and reporting sense). Creating your own plugin is also very easy. The top pros of Grafana (which it does better than Kibana ) are:
- Creating and organizing visualization panels
- Templating the panels on dashboards for repetetive tasks
- Realtime monitoring, filtering of charts based on conditions and variables
- Export / Import in JSON format (that allows you to version and save your dashboard as part of git)
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
After looking for a way to monitor or at least get a better overview of our infrastructure, we found out that Grafana (which I previously only used in ELK stacks) has a plugin available to fully integrate with Amazon CloudWatch . Which makes it way better for our use-case than the offer of the different competitors (most of them are even paid). There is also a CloudFlare plugin available, the platform we use to serve our DNS requests. Although we are a big fan of https://smashing.github.io/ (previously dashing), for now we are starting with 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.
Kibana should be sufficient in this architecture for decent analytics, if stronger metrics is needed then combine with Grafana. Datadog also offers nice overview but there's no need for it in this case unless you need more monitoring and alerting (and more technicalities).
@Kibana, of course, because @Grafana looks like amateur sort of solution, crammed with query builder grouping aggregates, but in essence, as recommended by CERN - KIbana is the corporate (startup vectored) decision.
Furthermore, @Kibana comes with complexity adhering ELK stack, whereas @InfluxDB + @Grafana & co. recently have become sophisticated development conglomerate instead of advancing towards a understandable installation step by step inheritance.
I learned a lot from Grafana, especially the issue of data monitoring, as it is easy to use, I learned how to create quick and simple dashboards. InfluxDB, I didn't know any other types of DBMS, I only knew about relational DBMS or not, but the difference was the scalability of both, but with influxDB, I knew how a time series DBMS works and finally, Telegraf, which is from the same company as InfluxDB, as I used the Windows Operating System, Telegraf tools was the first in the industry, in addition, it has complete documentation, facilitating its use, I learned a lot about connections, without having to make scripts to collect the data.
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.
Pros of Grafana
- Beautiful89
- Graphs are interactive68
- Free57
- Easy56
- Nicer than the Graphite web interface34
- Many integrations26
- Can build dashboards18
- Easy to specify time window10
- Can collaborate on dashboards10
- Dashboards contain number tiles9
- Open Source5
- Integration with InfluxDB5
- Click and drag to zoom in5
- Authentification and users management4
- Threshold limits in graphs4
- Alerts3
- It is open to cloud watch and many database3
- Simple and native support to Prometheus3
- Great community support2
- You can use this for development to check memcache2
- You can visualize real time data to put alerts2
- Grapsh as code0
- Plugin visualizationa0
Pros of Graylog
- Open source19
- Powerfull13
- Well documented8
- Alerts6
- User authentification5
- Flexibel query and parsing language5
- User management3
- Easy query language and english parsing3
- Alerts and dashboards3
- Easy to install2
- A large community1
- Manage users and permissions1
- Free Version1
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Cons of Grafana
- No interactive query builder1
Cons of Graylog
- Does not handle frozen indices at all1
