Grafana聽vs聽Kibana聽vs聽Splunk Cloud

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Grafana

17.5K
14.1K
+ 1
415
Kibana

20.2K
16.1K
+ 1
262
Splunk Cloud

166
437
+ 1
15

Grafana vs Kibana vs Splunk Cloud: What are the differences?

Introduction

This Markdown code provides a comparison between Grafana, Kibana, and Splunk Cloud, highlighting the key differences between these popular tools used for data visualization and analytics.

  1. Grafana: Grafana is an open-source data visualization and monitoring tool that allows users to create and display dynamic dashboards. It supports multiple data sources and is widely used for real-time analytics and monitoring. One key difference is that Grafana focuses primarily on visualizing time-series data and is highly customizable, offering a wide range of plugins and integrations.

  2. Kibana: Kibana is another open-source data visualization tool, primarily used for analyzing and exploring data stored in Elasticsearch. It provides powerful search capabilities, visualizations, and dashboards for the Elasticsearch data. Unlike Grafana, Kibana is tightly integrated with Elasticsearch and is commonly used as the front-end tool for Elasticsearch clusters.

  3. Splunk Cloud: Splunk Cloud is a cloud-based data analytics platform that enables organizations to collect, analyze, and visualize machine-generated data. It offers powerful search and reporting capabilities, allowing users to gain insights from large volumes of data. One key difference with Splunk Cloud is that it is a fully managed service provided by Splunk, eliminating the need for infrastructure management.

  4. Data Sources: Grafana supports a wide range of data sources, including databases (e.g., MySQL, PostgreSQL), time-series databases (e.g., InfluxDB, Prometheus), and cloud platforms (e.g., AWS CloudWatch, Azure Monitor). Kibana, on the other hand, is primarily designed for data stored in Elasticsearch, with limited support for other data sources. Splunk Cloud can ingest data from various sources, including logs, metrics, events, and more, making it versatile in handling diverse data types.

  5. Licensing Model: Grafana is an open-source tool released under the Apache License 2.0. It is free to use and has an active community contributing to its development. Kibana, being part of the Elastic Stack, follows Elastic's dual licensing model where the basic features are free and open-source, but additional modules and enterprise features require a subscription. Splunk Cloud follows a subscription-based licensing model, with pricing based on data ingestion volume.

  6. Scalability and Deployment: Grafana can be deployed on-premises or in the cloud and offers high scalability, suitable for small to large-scale deployments. Kibana is typically deployed alongside Elasticsearch, providing horizontal scalability by adding more nodes to the Elasticsearch cluster. Splunk Cloud, being a managed service, offers automatic scalability based on data volumes and provides elastic resource allocation.

In summary, Grafana is a highly customizable data visualization tool with extensive plugin support, Kibana is tightly integrated with Elasticsearch and offers powerful search capabilities, while Splunk Cloud is a cloud-based, fully managed data analytics platform with versatile data ingestion capabilities.

Advice on Grafana, Kibana, and Splunk Cloud
Susmita Meher
Senior SRE at African Bank | 4 upvotes 路 796.2K views
Needs advice
on
GrafanaGrafanaGraphiteGraphite
and
PrometheusPrometheus

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.

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Replies (1)
Sakti Behera
Technical Specialist, Software Engineering at AT&T | 3 upvotes 路 581.5K views
Recommends
on
GrafanaGrafanaPrometheusPrometheus

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.

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Mat Jovanovic
Head of Cloud at Mats Cloud | 3 upvotes 路 725.1K views
Needs advice
on
DatadogDatadogGrafanaGrafana
and
PrometheusPrometheus

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.

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Replies (2)
Lucas Rincon
Recommends
on
InstanaInstana

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/

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Recommends
on
DatadogDatadog

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.

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Needs advice
on
GrafanaGrafana
and
KibanaKibana

From a StackShare Community member: 鈥淲e need better analytics & insights into our Elasticsearch cluster. Grafana, which ships with advanced support for Elasticsearch, looks great but isn鈥檛 officially supported/endorsed by Elastic. Kibana, on the other hand, is made and supported by Elastic. I鈥檓 wondering what people suggest in this situation."

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Replies (7)
Recommends
on
GrafanaGrafana
at

For our Predictive Analytics platform, we have used both Grafana and Kibana

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)
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Recommends
on
KibanaKibana

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

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Bram Verdonck
Recommends
on
GrafanaGrafana
at

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 .

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Recommends
on
KibanaKibana

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.

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Recommends
on
KibanaKibana

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).

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Recommends
on
GrafanaGrafana

I use Grafana because it is without a doubt the best way to visualize metrics

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Povilas Brilius
PHP Web Developer at GroundIn Software | 0 upvotes 路 603.2K views
Recommends
on
KibanaKibana
at

@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.

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Pros of Grafana
Pros of Kibana
Pros of Splunk Cloud
  • 89
    Beautiful
  • 68
    Graphs are interactive
  • 57
    Free
  • 56
    Easy
  • 34
    Nicer than the Graphite web interface
  • 26
    Many integrations
  • 18
    Can build dashboards
  • 10
    Easy to specify time window
  • 10
    Can collaborate on dashboards
  • 9
    Dashboards contain number tiles
  • 5
    Open Source
  • 5
    Integration with InfluxDB
  • 5
    Click and drag to zoom in
  • 4
    Authentification and users management
  • 4
    Threshold limits in graphs
  • 3
    Alerts
  • 3
    It is open to cloud watch and many database
  • 3
    Simple and native support to Prometheus
  • 2
    Great community support
  • 2
    You can use this for development to check memcache
  • 2
    You can visualize real time data to put alerts
  • 0
    Grapsh as code
  • 0
    Plugin visualizationa
  • 88
    Easy to setup
  • 65
    Free
  • 45
    Can search text
  • 21
    Has pie chart
  • 13
    X-axis is not restricted to timestamp
  • 9
    Easy queries and is a good way to view logs
  • 6
    Supports Plugins
  • 4
    Dev Tools
  • 3
    More "user-friendly"
  • 3
    Can build dashboards
  • 2
    Out-of-Box Dashboards/Analytics for Metrics/Heartbeat
  • 2
    Easy to drill-down
  • 1
    Up and running
  • 7
    More powerful & Integrates with on-prem & off-prem
  • 3
    Free
  • 3
    Powerful log analytics
  • 1
    Pci compliance
  • 1
    Production debugger

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Cons of Grafana
Cons of Kibana
Cons of Splunk Cloud
  • 1
    No interactive query builder
  • 6
    Unintuituve
  • 4
    Elasticsearch is huge
  • 3
    Hardweight UI
  • 3
    Works on top of elastic only
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    - No public GitHub repository available -

    What is 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.

    What is 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.

    What is Splunk Cloud?

    If you're looking for all the benefits of Splunk庐 Enterprise with all the benefits of software-as-a-service, then look no further. Splunk Cloud is backed by a 100% uptime SLA, scales to over 10TB/day, and offers a highly secure environment.

    Need advice about which tool to choose?Ask the StackShare community!

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    What are some alternatives to Grafana, Kibana, and Splunk Cloud?
    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!
    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.
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    Graphite does two things: 1) Store numeric time-series data and 2) Render graphs of this data on demand
    Splunk
    It provides the leading platform for Operational Intelligence. Customers use it to search, monitor, analyze and visualize machine data.
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