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Kibana VS Apache Storm

Compare Kibana VS Apache Storm and see what are their differences

Kibana logo Kibana

Easily visualize data pushed into Elasticsearch from Logstash, es-hadoop or 3rd party technologies...

Apache Storm logo Apache Storm

Apache Storm is a free and open source distributed realtime computation system.
  • Kibana Landing page
    Landing page //
    2023-10-21
  • Apache Storm Landing page
    Landing page //
    2019-03-11

Kibana videos

Analyzing Server Logs with Kibana

More videos:

  • Review - Grafana vs Kibana | Beautiful data graphs and log analysis systems

Apache Storm videos

Apache Storm Tutorial For Beginners | Apache Storm Training | Apache Storm Example | Edureka

More videos:

  • Review - Developing Java Streaming Applications with Apache Storm
  • Review - Atom Text Editor Option - Real-Time Analytics with Apache Storm

Category Popularity

0-100% (relative to Kibana and Apache Storm)
Monitoring Tools
100 100%
0% 0
Big Data
0 0%
100% 100
Log Management
100 100%
0% 0
Stream Processing
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Kibana and Apache Storm

Kibana Reviews

Top 10 Grafana Alternatives in 2024
Assess how well the Grafana alternative integrates with your existing tools stack. For instance, Kibana is best suited for Elasticsearch environments, while Middleware is the most advanced solution to operate and monitor in Kubernetes environments.
Source: middleware.io
Top 11 Grafana Alternatives & Competitors [2024]
Kibana is an integral component within the Elastic Stack (ELK), offering advanced visualization and analysis capabilities. Beats, which is also a part of the ELK Stack, is responsible for collecting and forwarding log data to Logstash for initial processing. Logstash, in turn, applies various data transformations and subsequently stores the processed data in Elasticsearch....
Source: signoz.io
10 Best Linux Monitoring Tools and Software to Improve Server Performance [2022 Comparison]
Lastly, the Elastic Stack (ELK Stack) is a well-known tool for Linux performance monitoring. It’s composed of Elasticsearch (full-text search), Logstash (a log aggregator), Kibana (visualization via graphs and charts), and Beats (lightweight metrics collectors and shippers).
Source: sematext.com
4 Best Open Source Dashboard Monitoring Tools In 2019
Kibana is part of Elastic’s product suite and is often used in what we call an ELK stack : ElasticSearch + Logstash + Kibana.

Apache Storm Reviews

Top 15 Kafka Alternatives Popular In 2021
Apache Storm is a recognized, distributed, open-source real-time computational system. It is free, simple to use, and helps in easily and accurately processing multiple data streams in real-time. Because of its simplicity, it can be utilized with any programming language and that is one reason it is a developer’s preferred choice. It is fast, scalable, and integrates well...
5 Best-Performing Tools that Build Real-Time Data Pipeline
Apache Storm is an open-source distributed real-time computational system for processing data streams. Similar to what Hadoop does for batch processing, Apache Storm does for unbounded streams of data in a reliable manner. Built by Twitter, Apache Storm specifically aims at the transformation of data streams. Storm has many use cases like real-time analytics, online machine...

Social recommendations and mentions

Based on our record, Apache Storm seems to be more popular. It has been mentiond 11 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Kibana mentions (0)

We have not tracked any mentions of Kibana yet. Tracking of Kibana recommendations started around Mar 2021.

Apache Storm mentions (11)

  • Data Engineering and DataOps: A Beginner's Guide to Building Data Solutions and Solving Real-World Challenges
    There are several frameworks available for batch processing, such as Hadoop, Apache Storm, and DataTorrent RTS. - Source: dev.to / over 1 year ago
  • Real Time Data Infra Stack
    Although this article lists a lot of targets for technical selection, there are definitely others that I haven't listed, which may be either outdated, less-used options such as Apache Storm or out of my radar from the beginning, like JAVA ecosystem. - Source: dev.to / over 1 year ago
  • In One Minute : Hadoop
    Storm, a system for real-time and stream processing. - Source: dev.to / over 1 year ago
  • Elon Musk reportedly wants to fire 75% of Twitter’s employees
    Google has scaled well and has helped others scale, Twitter has always been behind by years. I think the only thing they did well was Twitter Storm, now taken up by Apache Foundation. Source: over 1 year ago
  • Spark for beginners - and you
    Streaming: Sparks Streamings's latency is at least 500ms, since it operates on micro-batches of records, instead of processing one record at a time. Native streaming tools like Storm, Apex or Flink might be better for low-latency applications. - Source: dev.to / over 2 years ago
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What are some alternatives?

When comparing Kibana and Apache Storm, you can also consider the following products

Grafana - Data visualization & Monitoring with support for Graphite, InfluxDB, Prometheus, Elasticsearch and many more databases

Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.

Datadog - See metrics from all of your apps, tools & services in one place with Datadog's cloud monitoring as a service solution. Try it for free.

Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.

Prometheus - An open-source systems monitoring and alerting toolkit.

Google BigQuery - A fully managed data warehouse for large-scale data analytics.