OpenSearch vs Kibana

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

OpenSearch is a Search & Information Retrieval solution with tags like opensource, elasticsearch, apache, restful, analytics.

It boasts features such as Open source, Based on Elasticsearch, Supports full-text search, Provides analytics APIs, Scalable and distributed search engine, Plugin architecture to extend functionality, Works with variety of data stores and pros including Free and open source, Powerful search capabilities, Horizontally scalable, Easy to deploy, Extensible via plugins, Compatible with Elasticsearch APIs, Active community support.

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.

OpenSearch

OpenSearch

OpenSearch is an open source search engine software project that is based on Elasticsearch and Apache 2.0 licensed. It provides RESTful search and analytics APIs suitable for building search applications.

Categories:
opensource elasticsearch apache restful analytics

OpenSearch Features

  1. Open source
  2. Based on Elasticsearch
  3. Supports full-text search
  4. Provides analytics APIs
  5. Scalable and distributed search engine
  6. Plugin architecture to extend functionality
  7. Works with variety of data stores

Pricing

  • Open Source

Pros

Free and open source

Powerful search capabilities

Horizontally scalable

Easy to deploy

Extensible via plugins

Compatible with Elasticsearch APIs

Active community support

Cons

Steep learning curve

Limited documentation and guides

Not as feature rich as Elasticsearch

Lacks some advanced Elasticsearch features

Not ideal for complex search needs

Less flexible than building custom search with Elasticsearch


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