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  1. Stackups
  2. DevOps
  3. Monitoring
  4. Monitoring Tools
  5. Kapacitor vs Prometheus

Kapacitor vs Prometheus

OverviewDecisionsComparisonAlternatives

Overview

Prometheus
Prometheus
Stacks4.8K
Followers3.8K
Votes239
GitHub Stars61.1K
Forks9.9K
Kapacitor
Kapacitor
Stacks40
Followers54
Votes0

Kapacitor vs Prometheus: What are the differences?

Differences Between Kapacitor and Prometheus

Kapacitor and Prometheus are both popular open-source systems used for monitoring and alerting in a distributed environment. However, they differ in some key aspects.

  1. Data Storage and Retrieval: Kapacitor serves as a processing engine that streams data from external systems, performs calculations or transformations on the data, and stores results in a separate database. In contrast, Prometheus directly stores collected data in its own time-series database, without the need for external storage.

  2. Query Language: Kapacitor utilizes TICKscript, a domain-specific language, to define data processing tasks and alerts. On the other hand, Prometheus uses PromQL, a powerful query language specifically designed for querying and analyzing time-series data. PromQL offers a more expressive and flexible way to query and aggregate data.

  3. Alerting and Notifications: Kapacitor provides more advanced alerting capabilities compared to Prometheus. It supports complex event processing, anomaly detection, and can integrate with various notification services to send alerts. Prometheus, while capable of basic alerting, relies on external tools like Alertmanager to handle more advanced alerting and notification functionalities.

  4. Scalability and Federation: Both Kapacitor and Prometheus are designed to handle large-scale monitoring. However, Prometheus offers native support for federation, allowing multiple instances to be connected and form a federated cluster for scalability and redundancy. Kapacitor, on the other hand, can only scale vertically by increasing the resources of the host machine.

  5. Data Source Support: Prometheus is primarily focused on metrics monitoring and has built-in support for collecting data from various popular data sources, including applications, databases, and infrastructure components. Kapacitor, on the other hand, is more flexible and can ingest data from a wider range of sources, including streams, logs, and databases.

  6. Integration with Other Tools: Prometheus has excellent integration with the entire Prometheus ecosystem, including Grafana for visualization, Alertmanager for alert routing, and exporters for collecting metrics from different systems. Kapacitor, on the other hand, integrates well with the InfluxData TICK Stack, which includes InfluxDB for storage and Chronograf for visualization, but may require additional configuration for integrating with other monitoring tools.

In summary, while both Kapacitor and Prometheus are capable monitoring systems, they differ in terms of data storage and retrieval, query language, alerting capabilities, scalability, data source support, and integrations with other tools. Understanding these differences can help in choosing the right monitoring system based on specific requirements and use cases.

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Advice on Prometheus, Kapacitor

Raja Subramaniam
Raja Subramaniam

Aug 27, 2019

Needs adviceonPrometheusPrometheusKubernetesKubernetesSysdigSysdig

We have Prometheus as a monitoring engine as a part of our stack which contains Kubernetes cluster, container images and other open source tools. Also, I am aware that Sysdig can be integrated with Prometheus but I really wanted to know whether Sysdig or sysdig+prometheus will make better monitoring solution.

779k views779k
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

Prometheus
Prometheus
Kapacitor
Kapacitor

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.

It is a native data processing engine for InfluxDB 1.x and is an integrated component in the InfluxDB 2.0 platform. It can process both stream and batch data from InfluxDB, acting on this data in real-time via its programming language TICKscript.

Dimensional data; Powerful queries; Great visualization; Efficient storage; Precise alerting; Simple operation
can process both stream and batch data ; acting on data in real-time
Statistics
GitHub Stars
61.1K
GitHub Stars
-
GitHub Forks
9.9K
GitHub Forks
-
Stacks
4.8K
Stacks
40
Followers
3.8K
Followers
54
Votes
239
Votes
0
Pros & Cons
Pros
  • 47
    Powerful easy to use monitoring
  • 38
    Flexible query language
  • 32
    Dimensional data model
  • 27
    Alerts
  • 23
    Active and responsive community
Cons
  • 12
    Just for metrics
  • 6
    Bad UI
  • 6
    Needs monitoring to access metrics endpoints
  • 4
    Not easy to configure and use
  • 3
    Supports only active agents
No community feedback yet
Integrations
Grafana
Grafana
InfluxDB
InfluxDB
Kafka
Kafka

What are some alternatives to Prometheus, Kapacitor?

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.

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.

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

Zabbix

Zabbix

Zabbix is a mature and effortless enterprise-class open source monitoring solution for network monitoring and application monitoring of millions of metrics.

Apache NiFi

Apache NiFi

An easy to use, powerful, and reliable system to process and distribute data. It supports powerful and scalable directed graphs of data routing, transformation, and system mediation logic.

Sensu

Sensu

Sensu is the future-proof solution for multi-cloud monitoring at scale. The Sensu monitoring event pipeline empowers businesses to automate their monitoring workflows and gain deep visibility into their multi-cloud environments.

Graphite

Graphite

Graphite does two things: 1) Store numeric time-series data and 2) Render graphs of this data on demand

Lumigo

Lumigo

Lumigo is an observability platform built for developers, unifying distributed tracing with payload data, log management, and real-time metrics to help you deeply understand and troubleshoot your systems.

StatsD

StatsD

It is a network daemon that runs on the Node.js platform and listens for statistics, like counters and timers, sent over UDP or TCP and sends aggregates to one or more pluggable backend services (e.g., Graphite).

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