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I have used Elasticsearch on production by 2 years
What do you like best about the product?
elasticsearch allow me to scale out flexibly and rapidly as my data grows (horizontal scale)
What do you dislike about the product?
I can't add a new parent/child relation once the index already created.
What problems is the product solving and how is that benefiting you?
- Near real time searchs
- My queries has executed in less than 2 seconds
- My queries has executed in less than 2 seconds
Recommendations to others considering the product:
elasticsearch will allow you to scale out flexibly and rapidly as your data grows
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Great search engine
What do you like best about the product?
Very fast search. Mostly intuitive plugins. Great integration with other 3rd parties.
What do you dislike about the product?
It diesn't designed and actualy awfull as a data base.
Missing some search functionality that was useful in relation db.
Missing some search functionality that was useful in relation db.
What problems is the product solving and how is that benefiting you?
Big data RT search.
Searching for site content through websites configurations
What do you like best about the product?
10 our of 10 on the basis of searching and researching the site content through parallax and simple site design.
What do you dislike about the product?
The tool is robust but we're still trying to understand the account settings ffeature. Updating the email section can be incredibly difficult to present at a meeting.
What problems is the product solving and how is that benefiting you?
We are using the tool to track the necessary elements of our website back to key business indicators within our instiutional knowledge.
Elastic search is a great tool for searching across a large body of documents.
What do you like best about the product?
ES is easy to get up and get running. Building a multi node farm is also fairly easy. The community around Elastic Search is growing and very helpful if you reach out with questions as your getting setup.
What do you dislike about the product?
There seems to be some inconsistency when it comes to query performance. While initial setup of environments seems easy there are some gotchas that you really need to read through the documentation completely in order to avoid.
What problems is the product solving and how is that benefiting you?
We are utilizing Elastic Search to build our Enterprise Search web application that searches across our internal employees, documents, and social content (blogs, microblogs, videos, etc).
Recommendations to others considering the product:
Pay attention and read through all of the documentation in the starter guide as well as the performance recommendations.
Flexible, easy to use and powerful
What do you like best about the product?
Elasticsearch is an amazing search engine. Its architecture is simple and very, believe me, very easy to setup using any configuration management system such as Chef or Puppet.
The "auto discovery" is another strong point. It makes your node cluster much more resilient to failures and make it much more flexible as well. You can easily replace nodes on the fly for maintenance or even for increase / decrease your search infrastructure.
I would also highlight that you don't need any extra software in your ecosystem in order to create a cluster. (in Solr, for example, it's necessary)
The "auto discovery" is another strong point. It makes your node cluster much more resilient to failures and make it much more flexible as well. You can easily replace nodes on the fly for maintenance or even for increase / decrease your search infrastructure.
I would also highlight that you don't need any extra software in your ecosystem in order to create a cluster. (in Solr, for example, it's necessary)
What do you dislike about the product?
It's not directly about the Elasticsearch itself but its miss usage. I've seen people using it directly as a NoSQL databse. The problems in this approach, in my point of view are: Lucene (elastichsearch works upon it) has no transaction concept and if, for some reason (changing mapping config, for example), you need to re-index your data, you will need to copy it and then reindex (such a dirty job).
What problems is the product solving and how is that benefiting you?
We used Elasticsearch to allow the users to search content across many indices, using the multi index search. We had indices for articles, galleries, photos and editorial lists. All of them could be searched at the same time by editors in our Content Management System.
Recommendations to others considering the product:
Combining the easy setup and administration with multi-index search, auto-discovery for the nodes, and the intuitive rest API, you can easily see why Elasticsearch is a good option. But beware, don't add a search engine to your ecosystem just because it's nice, even the best tools will increase your ecosystem's complexity. So it needs to really solve important business problems.
A scalable and easy to use search solution
What do you like best about the product?
It's lightning fast to answer a query, it's distributed by default and has hundreds of plugins and addons to play with, you don't need to be an expert to get it up and running. One of the things I really love is how easy it is to set up replication, it autodiscovers other clusters automatically and mirrors the data.
Also, if used with the "head" plugin, you can monitor the health of your cluster and your indexes in real time and make queries in an easy way through a WYSIWYG interface or a query editor.
Also, if used with the "head" plugin, you can monitor the health of your cluster and your indexes in real time and make queries in an easy way through a WYSIWYG interface or a query editor.
What do you dislike about the product?
The query language is JSON based, which is good but it tends to bee too verbose and queries can get unintuitive, large and ridiculously complex.
What problems is the product solving and how is that benefiting you?
Search within our publications, it's lightning fast and it's the right solution to scale your search service on your website if you have a large traffic. I would recommend to have it since the beginning.
Recommendations to others considering the product:
Don't use it as a main data store as your search index might get corrupted or inconsistent, you'll need a main source of truth and it has to be a persistent database like MySQL, Postgres or MongoDB to rebuild your indexes.
Great Search Features!
What do you like best about the product?
Elastichsearch is a wonderful library for implementing search engines tools. Provides a nice user interface, very useful for interacting with the search engine as well as several interesting features as the geo-localization.
What do you dislike about the product?
Nothing. It is really a nice tool. I suggest it to everyone.
What problems is the product solving and how is that benefiting you?
Implementation of search engines. semantic search. geo-localization-based search.
Recommendations to others considering the product:
I suggest to use elastichsearch due its very nice semantic search and geo-localized search features. Furthermore, it has a nice user interface and a total support to NoSQL engines.
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