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Elasticsearch Review

Elasticsearch OUR SCORE 89%
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our score 89%
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  1. What is Elasticsearch
  2. Product Quality Score
  3. Main Features
  4. List of Benefits
  5. Technical Specifications
  6. Available Integrations
  7. Customer Support
  8. Pricing Plans
  9. Other Popular Software Reviews

What is Elasticsearch?

Elasticsearch is an open source analytics and search engine designed for ease in management, horizontal scalability and reliability. It uses a developer-friendly and complex query language to combine the speed of search with the power of analytics. It can optimize the workflow’s simplicity by being able to function effectively on all levels without a drop in performance. It has key features that enable users to deal with multiple use issues. Data are stored in a central way which is helpful in visualizing the expected and finding the unexpected. Elasticsearch is also capable of building and maintaining clients in several languages such as Python, Groovy, Net, and Java which are all easy to work with and has a more natural feel.

Product Quality Score

Ease of use
Customer support
Value for money

Elasticsearch features

Main features of Elasticsearch are:

  • Monitoring
  • Client libraries
  • Reporting
  • Management
  • Alerting
  • Analyze
  • Query
  • Machine learning
  • Security
  • Scalability

Elasticsearch Benefits


The main benefits of Elasticsearch are its powerful querying capabilities, its scalability, and the additional features it provides through Elasticsearch Xpack. Here are more details:

Powerful querying capabilities

Elasticsearch is a RESTful application that allows multiple searches such as structured, unstructured, geodata and metric then combines them together. The result found can be further analyzed and matched for key insights. Query data can be collected together and zoomed out to identify and determine important patterns and trends.

The system has the capability to derive answers instantly, enhancing the way users can relate better to data changes. It also offers BKD trees that can be used to store numeric and geo data together with column store used for all analytics. Its indexing feature assists users in leveraging and accessing their data faster.


Elasticsearch is also noted for its scalability which allows it to run on a single device like a laptop/PC as smoothly as it will run on multiple servers which handle petabytes of data. It can easily scale horizontally and allow users to handle a large number of events per second while automatically managing the distribution of indices and queries.

Additional features through Elasticsearch Xpack

Users can use the Elasticsearch Xpack tools to add extensive functionalities to the system such as being able to assign username and password to the cluster, performance monitoring, run machine learning jobs for establishing anomalies and more. Xpack can be easily installed which means it’s also easy to bring several improvements to the system like an increase in security and added features such as monitoring, graph exploration, reporting, alerting and machine learning.

Technical Specifications

Devices Supported

  • Web-based
  • iOS
  • Android
  • Desktop

Customer types

  • Small business
  • Medium business
  • Enterprise

Support Types

  • Phone
  • Online

Elasticsearch Integrations

The following Elasticsearch integrations are currently offered by the vendor:

  • Hadoop


Customer Support


Pricing Plans

Elasticsearch pricing is available in the following plans:

Free trial
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