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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.
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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.
The best search engine
What do you like best about the product?
Easy to setup.
Easy to insert data.
Easy to query data (at the beginning).
Very nice web API.
Easy to insert data.
Easy to query data (at the beginning).
Very nice web API.
What do you dislike about the product?
The documentation is sometimes not very clear to request parameters and perhaps users will re-index their data before obtaining the best search result.
What problems is the product solving and how is that benefiting you?
Problem : get a complete view of all the informations of customers.
The data are scattered across multiple sources (RDBMS, file, ...)
Putting them in a unique system (elasticsearch) and building search-based applications that query this data lake give a large benefit to the employees to rapidly get a complete information about customers.
The data are scattered across multiple sources (RDBMS, file, ...)
Putting them in a unique system (elasticsearch) and building search-based applications that query this data lake give a large benefit to the employees to rapidly get a complete information about customers.
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.
Incredibly powerful, large learning curve
What do you like best about the product?
Elasticsearch is a great product for building large and very powerful search... With great power comes great responsibility though... There's a large learning curve to get up and running, but overall it can really be worth it when you need to have powerful search features across a huge number of documents.
What do you dislike about the product?
The learning curve can be very daunting (the first ES book was probably 4x thicker than any other programming book I own).
What problems is the product solving and how is that benefiting you?
We use elasticsearch to provide search functionality across multiple models on our site... We also use it to power all of our admin functionality. We've recently experiments with using it to index and build reports for our app analytics as well.
Recommendations to others considering the product:
I'd say it's between Solr and Elasticsearch and es is a much more powerful tool.
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