Chartbrew vs Kibana

Struggling to choose between Chartbrew and Kibana? Both products offer unique advantages, making it a tough decision.

Chartbrew is a Business & Commerce solution with tags like data-visualization, dashboards, charts, business-intelligence, analytics, open-source.

It boasts features such as Drag-and-drop interface to build charts/dashboards, Connects to SQL, NoSQL, CSV data sources, Supports rich visualizations - bar, pie, line, scatter plots etc, Ad-hoc querying and filtering, Share dashboards via URL or embed in apps, Open source & customizable and pros including Free and open source, Simple & intuitive UI, Lightweight & fast, Connects to many data sources, Good for ad-hoc analysis.

On the other hand, Kibana is a Ai Tools & Services product tagged with visualization, dashboard, elasticsearch.

Its standout features include Real-time analytics and visualizations, Pre-built and customizable dashboards, Time-series analysis, Geospatial and coordinate maps, Shareable dashboards and visualizations, Alerts and notifications, and it shines with pros like User-friendly and intuitive UI, Powerful visualization capabilities, Integrates seamlessly with Elasticsearch, Open source and free, Large plugin ecosystem and community support.

To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.

Chartbrew

Chartbrew

Chartbrew is an open-source business intelligence and data visualization software. It allows users to connect to data sources, build interactive charts and dashboards, and share analytics. Chartbrew is lightweight, customizable, and integrates with popular databases.

Categories:
data-visualization dashboards charts business-intelligence analytics open-source

Chartbrew Features

  1. Drag-and-drop interface to build charts/dashboards
  2. Connects to SQL, NoSQL, CSV data sources
  3. Supports rich visualizations - bar, pie, line, scatter plots etc
  4. Ad-hoc querying and filtering
  5. Share dashboards via URL or embed in apps
  6. Open source & customizable

Pricing

  • Open Source

Pros

Free and open source

Simple & intuitive UI

Lightweight & fast

Connects to many data sources

Good for ad-hoc analysis

Cons

Limited built-in functionality

Not suitable for large datasets

Lacks some advanced analytics features

Basic dashboard formatting options

Steep learning curve for customization


Kibana

Kibana

Kibana is an open-source data visualization dashboard for Elasticsearch. It provides visualization capabilities on top of the content indexed on an Elasticsearch cluster. Users can create bar, line and scatter plots, or pie charts and maps on top of large volumes of data.

Categories:
visualization dashboard elasticsearch

Kibana Features

  1. Real-time analytics and visualizations
  2. Pre-built and customizable dashboards
  3. Time-series analysis
  4. Geospatial and coordinate maps
  5. Shareable dashboards and visualizations
  6. Alerts and notifications

Pricing

  • Open Source

Pros

User-friendly and intuitive UI

Powerful visualization capabilities

Integrates seamlessly with Elasticsearch

Open source and free

Large plugin ecosystem and community support

Cons

Steep learning curve for advanced features

Can be resource intensive for large datasets

Limited chart types compared to dedicated BI tools

Not ideal for non-technical users