Elasticsearch

Distributed search and analytics solution

4,6 /5 (96 reviews) Write a Review!

Elasticsearch Overview

What is Elasticsearch?

Elasticsearch is a RESTful search & analytics solution designed to helps users search and analyze trends in structured and unstructured data. Key features include data indexing, automatic node recovery, index lifecycle management, audit logging, and alert notifications.

The RESTful search and analytics engine comes with a discovery & cluster formation module, which lets users conduct simultaneous searches of resources across multiple nodes/servers, enabling load balancing and data backup. Administrators can use Elasticsearch to store and index data structures, minimizing memory usage during query completion. Plus, with its cross-cluster replication feature, users can create and aggregate copies of indices within a local group of servers to establish quick disaster recovery of data.

Elasticsearch integrates with various third-party platforms such as PagerDuty, Slack, HipChat, Apache Hive, Apache Pig, Apache Spark, and Apache Storm. The solution also offers a data rollup feature, which helps teams summarize, record and add metrics fields to historical data for future analysis.

Elasticsearch Overview

Pricing

Starting from
US$16,00/month

Pricing options

Free Trial
Subscription
Value for money

Elasticsearch offers a 14-day free trial of the Standard plan without requiring credit card details, after which users can choose from 4 paid subscription plans. The Standard plan starts at $16/month, and provides access to core security features and solutions including APM, SIEM, and Maps. The Gold plan adds custom plugins, while the Platinum plan offers advanced security features and machine learning. Elasticsearch's Premium plan also includes endpoint detection and response, protection, and event collection capabilities. Pricing for Gold, Platinum, and Enterprise plans is available on request.


Elasticsearch Features

Devices
Business size
S M L
Markets
United States
Supported Languages
English

Media

Elasticsearch notifications
Elasticsearch cluster monitoring
Elasticsearch user role management
Elasticsearch video Elasticsearch screenshot: Elasticsearch notifications Elasticsearch screenshot: Elasticsearch cluster monitoring Elasticsearch screenshot: Elasticsearch user role management

Elasticsearch Reviews

Elasticsearch Reviews

Overall rating
4,6
/
5
Excellent
58

Very good
35

Average
3

Poor
0

Terrible
0

Value for Money
4,5
Features
4,5
Ease of Use
3,9
Customer Support
4
97% recommended this app
Adam victor B.

Best search engine on the market

I work with Elasticsearch as a developer on a daily bases for textual search. It is the greatest tool I've used in years. Really like it.


Jim N.

Scale, Features, Functionality.

Excellent. The ELK stack is the foundation of our audit process, and it's held up really well. The installation can be automated, and archiving in the AWS environment works quite well. We have not yet had a problem in scaling resources to match our resource needs. The integrations with logstash, beats and kibana have been excellent, and used to great effect.


Sreehari D.

Decent Data store but lot of scalable issues


Verified Reviewer

Best way to process application log data

We had lots of network-related log files with millions of records to be processed and identify errors, user activity, and many other pieces of information. If we didn't have Elasticsearch its a nightmare to process those. With the help of Elasticsearch, we were able to process those and even visualize them with nice graphs and charts. ultimately we were able to build an automated alerting system when there is an error or unusual user activity in the network system.


Stanislav K.

Industry standard for search

As a developer, was using it for quite a lot of time for different projects and would say it is almost impossible to find an alternative for this product due to the fact it is the best product in the segment.


Adam victor B.
Industry: Computer Software
Company size: 501-1 000 Employees

Best search engine on the market

Used Daily for 1+ year
Reviewed on 2019/05/26
Review Source: Capterra

I work with Elasticsearch as a developer on a daily bases for textual search. It is the greatest tool I've used in years. Really like it.

Pros

It is just the best back end for search engines in the market. A NoSQL database that is trustworthy. Also, it is open source. Incredibly easy to use.

Cons

Mostly for developers: other people would have a hard time with it.

Rating breakdown

Value for Money
Ease of Use
Customer Support

Likelihood to recommend: 9.0/10

Jim N.
Industry: Hospital & Health Care
Company size: 11-50 Employees

Scale, Features, Functionality.

Used Weekly for 2+ years
Reviewed on 2019/09/13
Review Source: Capterra

Excellent. The ELK stack is the foundation of our audit process, and it's held up really well. The installation can be automated, and archiving in the AWS environment works quite well. We have not yet had a problem in scaling resources to match our resource needs. The integrations with logstash, beats and kibana have been excellent, and used to great effect.

Pros

Scale: You can run this from a single server or even co-installed on a database or file server. I wouldn't recommend it, but let's just say it will run in a small box. On the top side, Elasticsearch will run in clusters managing multiple Terabytes of data.
Features: Excellent flexibility to absorb multiple types of data sources, and great integration with Logstash and Kibana.

Cons

The upgrades in terms of archived data. This platform changes significantly on an annual basis. If you do a ton of customization, automation, or work with a lot of data, this can be an issue as you will need to update ALL of your data for every upgrade.

Rating breakdown

Value for Money
Ease of Use
Customer Support

Likelihood to recommend: 10.0/10

Sreehari D.
Industry: Information Technology & Services
Company size: 201-500 Employees

Decent Data store but lot of scalable issues

Used Daily for 2+ years
Reviewed on 2020/11/28
Review Source: Capterra

Pros

Its decent search to NOSQL DB and I find it good for content management

Cons

it has scalable and reliability issues. I would not recommend this for your SOR

Rating breakdown

Value for Money
Ease of Use
Customer Support

Likelihood to recommend: 5.0/10

Verified Reviewer
Industry: Computer Software
Company size: 11-50 Employees

Best way to process application log data

Used Daily for 2+ years
Reviewed on 2020/09/23
Review Source: Capterra

We had lots of network-related log files with millions of records to be processed and identify errors, user activity, and many other pieces of information. If we didn't have Elasticsearch its a nightmare to process those. With the help of Elasticsearch, we were able to process those and even visualize them with nice graphs and charts. ultimately we were able to build an automated alerting system when there is an error or unusual user activity in the network system.

Pros

It's really easy to set up and there are not many configurations need to get started with.
It comes with other supporting tools such as Filebeats to collect the logs from the files, Logstash to ship data to Elasticsearch, and Kibana to visualize the data.
It processes millions of data within seconds.
Elasticsearch can be clustered with multiple nodes and it guarantees higher data availability.
Elasticsearch has lots of proper documentation and community support.
It's easy to integrate with programming languages such as Java

Cons

Elasticsearch doesn't provide backward version compatibility.
We have to use the same version of Elasticsearch, Logstash, and Kibana.
Data is getting saved as files inside Elasticsearch and those can get deleted.
There is no easy way to edit the data.

Rating breakdown

Value for Money
Ease of Use
Customer Support

Likelihood to recommend: 9.0/10

Stanislav K.
Industry: Hospitality
Company size: 51-200 Employees

Industry standard for search

Used Daily for 1+ year
Reviewed on 2020/10/30
Review Source: Capterra

As a developer, was using it for quite a lot of time for different projects and would say it is almost impossible to find an alternative for this product due to the fact it is the best product in the segment.

Pros

- the overall performance is great, easily handles big amount of data and provides near instant response times;
- fail tolerance and high availability features out from the box;
- open-source;
- elk stack is mostly the best tool to analyze the logs of your applications;

Cons

- could be hard to setup / maintain even for technical people, so probably you will need to use some services which provide support and better analytics
- migration between versions could require some additional efforts due breaking changes

Rating breakdown

Value for Money
Ease of Use

Likelihood to recommend: 9.0/10

User recommendation
8,7/10
Based on 96 user ratings
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Elasticsearch Pricing

Elasticsearch Pricing

Starting from
US$16,00/month
Free Trial
Subscription
Value for money

Elasticsearch offers a 14-day free trial of the Standard plan without requiring credit card details, after which users can choose from 4 paid subscription plans. The Standard plan starts at $16/month, and provides access to core security features and solutions including APM, SIEM, and Maps. The Gold plan adds custom plugins, while the Platinum plan offers advanced security features and machine learning. Elasticsearch's Premium plan also includes endpoint detection and response, protection, and event collection capabilities. Pricing for Gold, Platinum, and Enterprise plans is available on request.

Elasticsearch offers a 14-day free trial of the Standard plan without requiring credit card details, after which users can choose from 4 paid subscription plans. The Standard plan starts at $16/month, and provides access to core security features and solutions including APM, SIEM, and Maps. The Gold plan adds custom plugins, while the Platinum plan offers advanced security features and machine learning. Elasticsearch's Premium plan also includes endpoint detection and response, protection, and event collection capabilities. Pricing for Gold, Platinum, and Enterprise plans is available on request.

Value for Money
4,5/5
Based on 96 user ratings
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Elasticsearch Features

Elasticsearch Features

API
Activity Dashboard
Ad hoc Reporting
Business Analysis
Business Intelligence
Charting
Collaboration Tools
Customizable Reporting
Dashboard Creation
Data Filtering
Data Import/Export
Data Visualization
Monitoring
Multiple Data Sources
Predictive Analytics
Real Time Analytics
Real Time Data
Reporting & Statistics
Third Party Integration
Visual Analytics
Features
4,5/5
Based on 96 user ratings
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Categories

Additional information for Elasticsearch

Additional information for Elasticsearch

Key features of Elasticsearch

  • Content Management
  • Data Visualization
  • Filtered Views
  • Indexing
  • Predictive Analytics

Elasticsearch FAQs

Elasticsearch FAQs

Below are some frequently asked questions for Elasticsearch.

Q. What type of pricing plans does Elasticsearch offer?

Elasticsearch offers the following pricing plans:

Starting from: US$16,00/month

Pricing model: Subscription

Free Trial: Available

Elasticsearch offers a 14-day free trial of the Standard plan without requiring credit card details, after which users can choose from 4 paid subscription plans. The Standard plan starts at $16/month, and provides access to core security features and solutions including APM, SIEM, and Maps. The Gold plan adds custom plugins, while the Platinum plan offers advanced security features and machine learning. Elasticsearch's Premium plan also includes endpoint detection and response, protection, and event collection capabilities. Pricing for Gold, Platinum, and Enterprise plans is available on request.

Q. What are the main features of Elasticsearch?

Elasticsearch offers the following features:

  • Content Management
  • Data Visualization
  • Filtered Views
  • Indexing
  • Predictive Analytics

Q. Who are the typical users of Elasticsearch?

Elasticsearch has the following typical customers:

Small Business, Large Enterprises, Mid Size Business

Q. What languages does Elasticsearch support?

Elasticsearch supports the following languages:

English

Q. What type of pricing plans does Elasticsearch offer?

Elasticsearch has the following pricing plans:

Subscription

Q. Does Elasticsearch support mobile devices?

We do not have any information about what devices Elasticsearch supports

Q. What other apps does Elasticsearch integrate with?

Elasticsearch integrates with the following applications:

Contentful, Contentstack, Crafter CMS, Exago BI, Heyday, Immuta, Infocyte, Nuxeo, Opsview Cloud, strongDM

Q. What level of support does Elasticsearch offer?

Elasticsearch offers the following support options:

Phone Support, Online Support, FAQs, Knowledge Base, Video Tutorials