IntelliJ Elasticsearch VS elasticsearch-head

Compare IntelliJ Elasticsearch VS elasticsearch-head and see what are their differences

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IntelliJ Elasticsearch

IntelliJ Elasticsearch is a Professional Elasticsearch GUI client for Windows, Mac, and Linux delivered as a plugin for JetBrains IDEs.

elasticsearch-head

A web front end for an elastic search cluster

Landing page //
2023-08-17

Supports:
- Connection to multiple clusters with SSL, SSH, AWS
- CRUD
- Kibana Query Language with autocomplete
- Query DSL autocomplete and documentation
- REST API autocomplete and documentation

Landing page //
2023-08-17

IntelliJ Elasticsearch

Website: intellij-elasticsearch.com
Pricing URL: Official IntelliJ Elasticsearch Pricing
$ Details: Free Trial $3.0 / Monthly
Platforms: Windows Mac OSX Linux

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elasticsearch-head

Website: github.com
Pricing URL: -
$ Details: -
Platforms: -

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IntelliJ Elasticsearch features and specs

No features have been listed yet.

elasticsearch-head features and specs

User-friendly Interface
Elasticsearch-head provides a simple and intuitive visual interface that makes it easier to interact with your Elasticsearch cluster, allowing users to quickly navigate and manage their data.
Cluster Visualization
The tool offers a clear visualization of the Elasticsearch cluster state, including nodes, indexes, and shards. This helps in understanding the cluster's health and distribution at a glance.
Real-time Data Interaction
Elasticsearch-head allows users to perform CRUD operations and execute queries in real-time, which facilitates rapid testing and troubleshooting of Elasticsearch queries.
Open Source
Being open-source, elasticsearch-head is free to use, and users can contribute to its development or customize it according to their needs.

Possible disadvantages of elasticsearch-head

Limited Scalability
Elasticsearch-head may not handle large clusters efficiently due to performance constraints when visualizing significant amounts of data or nodes simultaneously.
Security Concerns
Since the tool doesn't have built-in security features, running it in a production environment could pose security risks, as it exposes cluster details without authentication.
Maintenance
The project does not appear to be actively maintained, which can lead to potential issues with compatibility with later versions of Elasticsearch.
Basic Functionality
While it offers essential features for cluster management and query testing, it lacks advanced functionalities and analytics that other more comprehensive tools might provide.