Elasticsearch

About Elasticsearch

Elasticsearch is a distributed, RESTful search and analytics engine capable of solving a growing number of use cases. As the heart of the Elastic Stack, it centrally stores your data so you can discover the expected and uncover the unexpected. Elasticsearch lets you perform and combine many types of searches — structured, unstructured, geo, metric — any way you want.

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Pricing

Free Trial Not Available
Offers Custom plan.
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SW Score Breakdown The SW Score breakdown shows individual score for product features.Read more

Features The Feature Score % is calculated using the weighted average method, where core features hold more weight in the final calculation. Read more

100%
Reviews

89%
Momentum

71%
Popularity

93%

Platforms Supported

Browser Based (Cloud)

Organization Types Supported

All (Small, Medium, Large)

API Support

Available

Modes of Support

24/7 (Live rep), Business Hours, Online

Elasticsearch Features

Show Feature Explanation

Site Search Features

Features: The Feature Score % is calculated using the weighted average method, where core features hold more weight in the final calculation. Read more

100%

Filter Search Results

Filter search results using secondary attributes like date, price, author, location, or content type, etc

Auto Completion

Guide users to the content, answers, or products that matter most with real-time results right as they type.

App Integration

Facilitates search in applications

Search Relevance

Display all of the most appropriate content based on the search terms

Machine Learning

An intelligent automation process that allows a bot to imitate or predict behavior by learning from historical behavioral patterns.

Text Analytics

Improves customer engagement by analyzing the available text data

Multilingual Search

Supports search in websites with non-English content as well

Customizability

Can be customized to a great extent to extract best results

Multi-Platform

Lets the user search content across multiple platforms (domains, web properties etc.) with a single search

Indexing

Allows to index content to support the search mechanism.

Elasticsearch Pricing

Free Trial

Not available

Pricing Options

Premium Plans ( Quotation Based )

Pricing Plans

Elasticsearch Custom Plan Custom

Features

App Integration
Auto Completion
Indexing
Machine Learning
Multi-Platform
Multilingual Search
Search Relevance
Text Analytics

Contact the Vendor for Detailed Pricing Information

Screenshots of Vendor Pricing Page

Disclaimer: The pricing details were last updated on 07/06/2019 from the vendor website and may be different from actual. Please confirm with the vendor website before purchasing.

Learn more about Elasticsearch Pricing

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Elasticsearch Reviews

User Rating

4.5/5 (Based on 640 Ratings)

Rating Distribution

Excellent
54.5%
Very Good
37.8%
Average
7.7%
Poor
0%
Terrible
0%

User Sentiments

Fast Search Capabilities, Easy Integration with other Tools, Powerful Data Visualization, Comprehensive Data Analysis

Steep Learning Curve, High Resource Consumption, Occasional Performance Issues, Complex Query Language

Do You Use Elasticsearch?

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Review Summary

Overall, users find the product to be scalable, reliable, and powerful. They appreciate its open-source nature, flexibility, and ease of integration. Many users highlight its effectiveness in handling large datasets and complex queries. However, some users mention occasional performance issues, a steep learning curve, and the need for skilled professionals for optimal utilization. Opinions vary regarding its user interface and documentation, with some finding them intuitive and others suggesting improvements. Despite these mixed views, users generally agree that the product is a valuable tool for building powerful search and analytics applications.

Pros

Scalable and flexible: Can handle large data volumes and diverse data types.
Opensource: Free to use and modify, with a large community of contributors.
Powerful search capabilities: Supports advanced search queries, including fulltext search, filtering, and sorting.
Integrates with various programming languages and frameworks.

Cons

Requires technical expertise: Setting up and managing Elasticsearch can be complex for nontechnical users.
Can be resourceintensive: Requires powerful hardware and can consume significant memory and storage resources.
Complex query syntax: Can be challenging for users without prior experience with Elasticsearch's query language.
Limited customer support: Being opensource, Elasticsearch lacks dedicated customer support compared to commercial alternatives.