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  1. Stackups
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  3. Performance Monitoring
  4. Performance Monitoring
  5. Amazon CloudWatch vs Kibana vs Splunk Cloud

Amazon CloudWatch vs Kibana vs Splunk Cloud

OverviewDecisionsComparisonAlternatives

Overview

Splunk Cloud
Splunk Cloud
Stacks170
Followers438
Votes15
Amazon CloudWatch
Amazon CloudWatch
Stacks12.0K
Followers8.2K
Votes214
Kibana
Kibana
Stacks20.6K
Followers16.4K
Votes262
GitHub Stars20.8K
Forks8.5K

Amazon CloudWatch vs Kibana vs Splunk Cloud: What are the differences?

Comparing Amazon CloudWatch, Kibana, and Splunk Cloud

Amazon CloudWatch, Kibana, and Splunk Cloud are popular monitoring and log analysis solutions. While they serve similar purposes, there are key differences between them that make each option unique and cater to different needs. Below are the key differences between Amazon CloudWatch, Kibana, and Splunk Cloud:

  1. Integration and Scope:

    • Amazon CloudWatch is tightly integrated with the Amazon Web Services (AWS) ecosystem. It provides monitoring and visibility for AWS resources and services, making it the ideal choice for those heavily utilizing AWS services.
    • Kibana, on the other hand, is part of the Elastic Stack, which includes Elasticsearch for data storage and Logstash for data ingestion. It can be used with various data sources, making it a versatile option for analyzing logs and datasets.
    • Splunk Cloud is a cloud-based version of the popular Splunk software. It offers broad integration capabilities and can collect and analyze data from various sources, including on-premises systems and cloud platforms, making it suitable for organizations using a hybrid infrastructure.
  2. Ease of Use and Deployment:

    • Amazon CloudWatch is relatively easy to set up and use, especially if you are already using AWS services. It offers a user-friendly interface and provides simple configuration options for monitoring metrics and setting up alerts.
    • Kibana requires more technical expertise to set up and manage, as it is part of the Elastic Stack. It offers advanced querying and visualization capabilities, but this comes with a steeper learning curve.
    • Splunk Cloud provides a user-friendly interface and offers a range of deployment options, including both cloud-based and on-premises solutions. It is known for its ease of use and provides a rich set of features for log analysis and monitoring.
  3. Data Visualization and Analysis:

    • Amazon CloudWatch provides basic visualization and analysis capabilities for monitoring metrics, with the ability to create simple dashboards. It also integrates with other AWS services, allowing you to visualize and analyze correlated data from different sources.
    • Kibana excels in data visualization, offering powerful graphing and charting capabilities. It allows users to create interactive visualizations and dashboards, making it an ideal choice for exploring and analyzing large datasets.
    • Splunk Cloud is known for its robust data analysis and visualization capabilities. It offers advanced search functionalities and a wide range of visualizations, allowing users to gain insights from their data effectively.
  4. Scalability and Performance:

    • Amazon CloudWatch is designed with scalability in mind and can handle large volumes of metrics data. It automatically scales to accommodate the monitoring needs of AWS customers and provides high availability.
    • Kibana's scalability depends on the underlying Elasticsearch cluster it is connected to. With proper configuration, it can scale to handle large datasets and serve multiple users simultaneously.
    • Splunk Cloud offers elastic compute resources that can scale based on the organization's needs. It provides high-performance analytics capabilities and can handle large amounts of data, making it suitable for enterprise-scale deployments.
  5. Pricing:

    • Amazon CloudWatch's pricing is based on the number of metrics, events, and alarms recorded, as well as the amount of data ingested and stored. It offers a free tier for basic monitoring and has a pay-as-you-go pricing model.
    • Kibana is open-source software and can be used for free. However, if you require additional features or commercial support, Elasticsearch offers paid subscription plans.
    • Splunk Cloud's pricing is based on the amount of data ingested and the desired retention period. It offers different pricing tiers based on the organization's needs and provides flexibility for scaling up or down.

In summary, Amazon CloudWatch is a comprehensive monitoring solution tightly integrated with AWS, Kibana is a versatile log analysis tool that works well with various data sources, and Splunk Cloud is a robust log analysis and monitoring platform suitable for both cloud and on-premises environments. The choice between these solutions depends on specific requirements, such as integration needs, ease of use, data analysis capabilities, scalability, and pricing considerations.

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Advice on Splunk Cloud, Amazon CloudWatch, Kibana

matteo1989it
matteo1989it

Jun 26, 2019

ReviewonKibanaKibanaGrafanaGrafanaElasticsearchElasticsearch

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

757k views757k
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
abrahamfathman
abrahamfathman

Jun 26, 2019

ReviewonKibanaKibanaSplunkSplunkGrafanaGrafana

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.

2.29M views2.29M
Comments

Detailed Comparison

Splunk Cloud
Splunk Cloud
Amazon CloudWatch
Amazon CloudWatch
Kibana
Kibana

If you're looking for all the benefits of Splunk® 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.

It helps you gain system-wide visibility into resource utilization, application performance, and operational health. It retrieve your monitoring data, view graphs to help take automated action based on the state of your cloud environment.

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.

Splunk Cloud delivers all the features of award-winning Splunk® Enterprise, as a cloud-based service. The platform provides access to various apps and enables centralized visibility across cloud, hybrid and on-premises environments; Instant: Instant trial and instant conversion from POC to production; Secure: Completed SOC2 Type 2 Attestation*. Dedicated cloud environments for each customer; Reliable: 100% uptime SLA. All the features of Splunk Enterprise, including apps, APIs, SDKs. 10TB+/day scalability and up to 10x bursting over licensed data volumes**; Hybrid: Centralized visibility across Splunk Cloud (SaaS) and Splunk Enterprise (software);
Basic Monitoring for Amazon EC2 instances: ten pre-selected metrics at five-minute frequency, free of charge.;Detailed Monitoring for Amazon EC2 instances: seven pre-selected metrics at one-minute frequency, for an additional charge.;Amazon EBS volumes: eight pre-selected metrics at five-minute frequency, free of charge.;Elastic Load Balancers: thirteen pre-selected metrics at one-minute frequency, free of charge.;Amazon RDS DB instances: thirteen pre-selected metrics at one-minute frequency, free of charge.;Amazon SQS queues: eight pre-selected metrics at five-minute frequency, free of charge.;Amazon SNS topics: four pre-selected metrics at five-minute frequency, free of charge.;Amazon ElastiCache nodes: twenty-nine pre-selected metrics at one-minute frequency, free of charge.;Amazon DynamoDB tables: seven pre-selected metrics at five-minute frequency, free of charge.;AWS Storage Gateways: eleven pre-selected gateway metrics and five pre-selected storage volume metrics at five-minute frequency, free of charge.;Amazon Elastic MapReduce job flows: twenty-three pre-selected metrics at five-minute frequency, free of charge.;Auto Scaling groups: seven pre-selected metrics at one-minute frequency, optional and charged at standard pricing.;Estimated charges on your AWS bill: you can also choose to enable metrics to monitor your AWS charges. The number of metrics depends on the AWS products and services that you use, and these metrics are free of charge. Learn more about this option.
Flexible analytics and visualization platform;Real-time summary and charting of streaming data;Intuitive interface for a variety of users;Instant sharing and embedding of dashboards
Statistics
GitHub Stars
-
GitHub Stars
-
GitHub Stars
20.8K
GitHub Forks
-
GitHub Forks
-
GitHub Forks
8.5K
Stacks
170
Stacks
12.0K
Stacks
20.6K
Followers
438
Followers
8.2K
Followers
16.4K
Votes
15
Votes
214
Votes
262
Pros & Cons
Pros
  • 7
    More powerful & Integrates with on-prem & off-prem
  • 3
    Powerful log analytics
  • 3
    Free
  • 1
    Pci compliance
  • 1
    Production debugger
Pros
  • 76
    Monitor aws resources
  • 46
    Zero setup
  • 30
    Detailed Monitoring
  • 23
    Backed by Amazon
  • 19
    Auto Scaling groups
Cons
  • 2
    Poor Search Capabilities
Pros
  • 88
    Easy to setup
  • 65
    Free
  • 45
    Can search text
  • 21
    Has pie chart
  • 13
    X-axis is not restricted to timestamp
Cons
  • 7
    Unintuituve
  • 4
    Works on top of elastic only
  • 4
    Elasticsearch is huge
  • 3
    Hardweight UI
Integrations
AWS CloudFormation
AWS CloudFormation
AWS CloudTrail
AWS CloudTrail
No integrations available
Logstash
Logstash
Elasticsearch
Elasticsearch
Beats
Beats

What are some alternatives to Splunk Cloud, Amazon CloudWatch, Kibana?

New Relic

New Relic

The world’s best software and DevOps teams rely on New Relic to move faster, make better decisions and create best-in-class digital experiences. If you run software, you need to run New Relic. More than 50% of the Fortune 100 do too.

Datadog

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!

Grafana

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.

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.

Raygun

Raygun

Raygun gives you a window into how users are really experiencing your software applications. Detect, diagnose and resolve issues that are affecting end users with greater speed and accuracy.

Nagios

Nagios

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

AppSignal

AppSignal

AppSignal gives you and your team alerts and detailed metrics about your Ruby, Node.js or Elixir application. Sensible pricing, no aggressive sales & support by developers.

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

AppDynamics

AppDynamics

AppDynamics develops application performance management (APM) solutions that deliver problem resolution for highly distributed applications through transaction flow monitoring and deep diagnostics.

Stackdriver

Stackdriver

Google Stackdriver provides powerful monitoring, logging, and diagnostics. It equips you with insight into the health, performance, and availability of cloud-powered applications, enabling you to find and fix issues faster.

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