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IBM Streaming Analytics VS Kibana

Compare IBM Streaming Analytics VS Kibana and see what are their differences

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IBM Streaming Analytics logo IBM Streaming Analytics

IBM Streaming Analytics enables you to analyze a broad range of streaming text, video, audio, geospatial and sensor data.

Kibana logo Kibana

Easily visualize data pushed into Elasticsearch from Logstash, es-hadoop or 3rd party technologies...
  • IBM Streaming Analytics Landing page
    Landing page //
    2023-02-11
  • Kibana Landing page
    Landing page //
    2023-10-21

IBM Streaming Analytics features and specs

No features have been listed yet.

Kibana features and specs

  • User-Friendly Interface
    Kibana features an intuitive and visually appealing interface, making it easier for users to explore and visualize data without requiring in-depth technical knowledge.
  • Powerful Visualizations
    Offers a wide variety of visualizations including bar charts, line graphs, pie charts, and heat maps, enabling comprehensive data analysis and insights.
  • Real-Time Data Analysis
    Allows for the real-time monitoring and analysis of data, providing immediate insights and helping in quick decision-making processes.
  • Integration with Elastic Stack
    Seamlessly integrates with Elasticsearch and other components of the Elastic Stack, ensuring smooth data ingestion, storage, and retrieval.
  • Custom Dashboards
    Provides the ability to create and customize dashboards, allowing users to tailor visualizations to meet specific business needs and preferences.
  • Timelion Plugin
    The Timelion plugin offers advanced time-series analysis capabilities, enabling users to perform more complex data manipulations and visualizations.
  • Extensible Platform
    Highly extensible through plugins and APIs, allowing users to add new features and integrate with other tools and services.
  • Alerting and Reporting
    Includes built-in alerting and reporting features which help in proactively managing systems and sharing insights with stakeholders.

Possible disadvantages of Kibana

  • Steeper Learning Curve
    While user-friendly, getting the most out of Kibana can require a significant learning curve, especially for users unfamiliar with data visualization or Elasticsearch.
  • Performance Issues with Large Datasets
    Kibana can experience performance degradation when handling very large datasets, which may affect the responsiveness and usability of the platform.
  • Limited Advanced Data Analysis
    Although it offers robust visualization capabilities, Kibana lacks some advanced analytical features available in specialized data analysis tools.
  • Complex Setup and Maintenance
    Setting up and maintaining Kibana, especially in a production environment, can be complex and time-consuming, often requiring dedicated resources.
  • Cost
    While the basic version of Kibana is free, advanced features available in the paid (premium) versions can be quite costly, which might be a limitation for small businesses.
  • Limited Customization
    Although quite flexible, Kibana has some limitations in terms of customization options for specific visualizations and user interfaces.
  • Dependency on Elasticsearch
    Kibana relies heavily on Elasticsearch for data retrieval and storage, meaning any issues with Elasticsearch can directly impact Kibana's performance and functionality.

Analysis of Kibana

Overall verdict

  • Kibana is a robust and versatile platform that excels in providing insightful visualizations and real-time data analysis, particularly for users leveraging Elasticsearch. Its user-friendly interface and extensive features make it a valuable tool for businesses looking to harness the power of their data.

Why this product is good

  • Kibana, developed by Elastic.co, is considered an effective tool for data visualization and exploration. It is particularly well-regarded for its seamless integration with Elasticsearch, making it ideal for visualizing large datasets. Users appreciate its rich set of visualization tools, including dashboards, pie charts, and geospatial data mapping. Its ability to handle real-time data is another strong point, allowing users to monitor and troubleshoot systems efficiently.

Recommended for

  • Data analysts and scientists seeking advanced visualization capabilities.
  • Organizations already using Elasticsearch.
  • IT professionals needing to monitor and troubleshoot system performance in real-time.
  • Businesses desiring customizable dashboards and reports for data-driven decision making.
  • Development teams interested in open-source data exploration tools.

IBM Streaming Analytics videos

+ Add

IBM Streaming Analytics and Python

Kibana videos

+ Add

Analyzing Server Logs with Kibana

More videos:

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

Category Popularity

0-100% (relative to IBM Streaming Analytics and Kibana)

IBM Streaming Analytics

Kibana

Data Management
100 100%
Data Management
0% 0
Monitoring Tools
0 0%
Monitoring Tools
100% 100
Stream Processing
100 100%
Stream Processing
0% 0
Log Management
0 0%
Log Management
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 IBM Streaming Analytics and Kibana

IBM Streaming Analytics Reviews

We have no reviews of IBM Streaming Analytics yet.
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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.
Source: devconnected.com

What are some alternatives?

When comparing IBM Streaming Analytics and Kibana, you can also consider the following products

Azure Stream Analytics - Azure Stream Analytics offers real-time stream processing in the cloud.

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

Amazon Kinesis - Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.

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.

TIBCO Spotfire - TIBCO Spotfire is a Business Intelligence (BI) solution that provides users with executive dashboards, data visualization, data analytics and KPIs push to mobile devices.

Splunk - Splunk's operational intelligence platform helps unearth intelligent insights from machine data.

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