Average Ratings

12 Reviews
  • 4.5 / 5
    Overall
  • 4 / 5
    Ease of Use
  • 4 / 5
    Customer Service

Product Details

  • Starting Price
    $45.00/month
  • Deployment
    Cloud, SaaS, Web
  • Training
    Documentation
    Webinars
  • Support
    Online
    Business Hours
    24/7 (Live Rep)

Vendor Details

  • Elastic
  • www.elastic.co/
  • United States

About Elasticsearch

Actionable Insight at Your Fingers


Elasticsearch Features

  • Collaboration
  • Data Blends
  • Data Cleansing
  • Data Mining
  • Data Visualization
  • Data Warehousing
  • High Volume Processing
  • No-Code Sandbox
  • Predictive Analytics
  • Templates
  • Analytics
  • Content Management
  • Dashboard Creation
  • Filtered Views
  • OLAP
  • Relational Display
  • Simulation Models
  • Visual Discovery

Elasticsearch Reviews Recently Reviewed!

Fastest and easy data storage and search engine

Nov 14, 2017
5/5
Overall
4 / 5
Ease of Use
4 / 5
Features & Functionality
5 / 5
Customer Support
4 / 5
Value for Money

Pros: Elasticsearch stores and search through data in a distributed manner. Available to integrate with most of the programming languages to integrate with own application. Also provides rest api to directly integrate through command line or browser. Easier to add and remove cluster nodes for larger distributed datastore.

Cons: It requires large heap memory for better performance since is based on JVM. The datastore handles text only.

Amazing product

Oct 17, 2017
5/5
Overall
4 / 5
Ease of Use
5 / 5
Features & Functionality
2 / 5
Customer Support
5 / 5
Value for Money
Likelihood to Recommend: 9.0/10 Not
Likely
Extremely
Likely

Pros: Flexible, great API support, active development so new features are added all the time, open source, can scale

Cons: Sometimes cluster goes down without much information what happened. No troubleshooting tools that are easily available, have to plaugh through logs

Overall: Free (open source) software with so much feature and best search functionality.

Best suitable for Cloud based deployments for search

Aug 24, 2017
4/5
Overall
4 / 5
Ease of Use
5 / 5
Features & Functionality
5 / 5
Customer Support
5 / 5
Value for Money

Pros: Great search tool
Good documentation
Good command line interface
Great library support for 90% of the popular languages

Cons: No good UI for development
Less samples to learn.
It can do many things due to lack of samples failed to use most of the features

Great product for search and reports

Aug 24, 2017
4/5
Overall
3 / 5
Ease of Use
4 / 5
Features & Functionality
3 / 5
Customer Support
4 / 5
Value for Money
Likelihood to Recommend: 10.0/10 Not
Likely
Extremely
Likely

Pros: Good libraries to develop
Highly scalable and reliable
Great search capability
Good documentation
Good simple samples
Good for cloud deployment

Cons: Not suitable for transaction based system
Not suitable for installing in single server
Very less UI interface for development

Good for searching and analytics

Aug 24, 2017
5/5
Overall
3 / 5
Ease of Use
5 / 5
Features & Functionality
4 / 5
Customer Support
5 / 5
Value for Money
Likelihood to Recommend: 10.0/10 Not
Likely
Extremely
Likely

Pros: Best storage for searching, very quick in response
Documentation is good
Highly scalable
Good command line interface for administration

Cons: NoSQL help is not much clear with samples.
Not suitable for transactions.
Every NoSQL db has different standardization that makes little irritating
Not suitable for single pc installation

Elastic Search is built on top of Lucene, it provides the most powerful full-text search capability

Aug 23, 2017
4/5
Overall
5 / 5
Ease of Use
4 / 5
Features & Functionality
4 / 5
Customer Support
4 / 5
Value for Money
Likelihood to Recommend: 8.0/10 Not
Likely
Extremely
Likely

Pros: Easier to horizontally scale
Distributed by design
Excellent full-text search
Elastic Search is schema free┬┐instead, it accepts JSON documents, as well as tries to detect the data structure, index the data, and make it searchable.
Elastic Search is document-oriented. It stores real world complex entities as structured JSON documents and indexes all fields by default, with a higher performance result.
Elastic Search is API driven; actions can be performed using a simple Restful API.
Elastic Search records any changes made in transactions logs on multiple nodes in the cluster to minimize the chance of data loss.

Cons: Elastic-search query DSL is less common and less flexible than Postgres SQL .
Everything is indexed by default, which creates an index overhead.
in order to understand how to properly query your data and how it is stored, you have less control over consistency.

Gives good performance when handling with large number of data/record

Aug 23, 2017
4/5
Overall
3 / 5
Ease of Use
3 / 5
Features & Functionality
3 / 5
Customer Support
3 / 5
Value for Money
Likelihood to Recommend: 6.0/10 Not
Likely
Extremely
Likely

Pros: Indexing is Fast
Replacing the RDBMS is good
Retrieval of records are fast
Easy to install and configure

Cons: Term is very confusing (i.e. should, must)
Query Structure is very complicated.
Built-in GUI Component should be there

Best product for search and aggregations

Aug 09, 2017
5/5
Overall
5 / 5
Ease of Use
5 / 5
Features & Functionality
5 / 5
Customer Support
5 / 5
Value for Money
Likelihood to Recommend: 10.0/10 Not
Likely
Extremely
Likely

Pros: The search is very good and very fast in response.
Documentation is very good for writing NoSQL queries.
Libraries are there for 90% of popular languages.

Cons: It would be good to create a standardization for NoSQL.
It would be great, Elastic search provides IDE to write the queries rather than editors.

Overall: Great full text capabilities.
Highly scale able .
Good documentation.
Good set of libraries.

Great software. We use it everyday to index and find items of interest

Jun 12, 2017
5/5
Overall
4 / 5
Ease of Use
5 / 5
Features & Functionality
4 / 5
Customer Support

Pros: How it is designed to make search fast with the replicated indexes. It is also well designed to handle complex structured data and queries.

Cons: There is not as much admin interface to help manage the indexes. At times the cluster turns yellow due to shards being re-allocated.

I used the Python library to interact with ELK.

Jun 12, 2017
5/5
Overall
4 / 5
Ease of Use
5 / 5
Features & Functionality
4 / 5
Customer Support
Likelihood to Recommend: 9.0/10 Not
Likely
Extremely
Likely

Pros: Its flexibility ad X-pack options. It is also very easy to buikld an index and its Kibana interface is amazing.

Cons: The documentation and support has been a little muddled but I think that is getting a lot better. This may also be assisted by their hosted option.

Great for search, great for analytics

Feb 13, 2017
5/5
Overall
4 / 5
Ease of Use
5 / 5
Features & Functionality
5 / 5
Value for Money
Likelihood to Recommend: 8.0/10 Not
Likely
Extremely
Likely

Comments: Early Elasticsearch user and enthusiast, it's been my go-to software for all my search and basic analytics requirements. I've used it both for infrastructure / logging needs (with Logstash and Kibana) and applications (search, metrics).

Early days were not easy given sparse documentation, but right now it's a great product with lots of material to get you started.

Sidestep the most common challenges associated with implementing internal search engines

Jan 22, 2014
5/5
Overall

Comments: Using Qbox.io for hosted Elasticsearch allows developers to sidestep a number of the most common challenges associated with implementing internal search engines. In particular, Qbox.io users avoid having to monitor nodes themselves and wrestle with JVM heap size capacity planning. Because Qbox.io is provided as a service, developers who use the product do not have to worry about complicated topics like setup on AWS and RackSpace.

Pros: Qbox.io supports AWS and RackSpace

Cons: Qbox.io doesn't offer enough support for automatic scaling