Elasticsearch

4.6
(35)

Elasticsearch is a distributed, open source search and analytics engine, designed for horizontal scalability, reliability, and easy management. It combines the speed of search with the power of analytics via a sophisticated, developer-friendly query language covering structured, unstructured, and time-series data.

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Showing 35 Elasticsearch reviews
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Elasticsearch review by Varun D.
Varun D.
Validated Reviewer
Verified Current User
Review Source

"Probably the best database for search"

What do you like best?

Database exposed as a REST service! Seriously. Working with elasticsearch is so easy and fantastic experience. You get so many features out of the box - like full text search, document custom scoring, suggestions, results highlighting etc. And that's just tip of the iceberg. There are so many pluging like logstash and kibana for displaying metrics and logging. Also it is highly scalable.

What do you dislike?

There's not much control over consistency of your data; if you want to see your data in some particular format - you might need to index it in a predefined way. Elasticsearch's query DSL is less normal and less adaptable than PostgresSQL's SQL. By default everything is indexed, which might create index overhead depending on your database schema. You would need to understand some terms, like tokenizers and analyzers in order to get to know how to properly query your data and how the data is stored in the index.

Recommendations to others considering the product

Knowledge in cURL would be required before jumping to Elasticsearch

What business problems are you solving with the product? What benefits have you realized?

We are heavily dependent on Elasticsearch for our Business metrics telemetry data. We also use different plugins like Kibana, Logstash, Timelion for getting the data in different forms according to specific needs. It is probably the best tool available for fetching and viewing the data in real time.

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Elasticsearch review by User in Retail
User in Retail
Validated Reviewer
Verified Current User
Review Source

"Elastic Search gets the job done"

What do you like best?

Elastic Search makes it easy to take machine data and log data and search and view it. Numeric data is easy to graph, especially system performance metrics. There are large number of different dashboards and visualization types available.

What do you dislike?

The biggest challenge is that the data has to be perfectly formatted at ingestion. Otherwise the data is not useful. Once the data is ingested, if useful information is not separated into fields, the data is not useful. The interface is also a little awkward when developing visualizations and dashboards

Recommendations to others considering the product

To get the most use of it, enforce standards for logging of useful information. Also, encourage teams not to log useless information. Teams will tend to just dump a lot of junk into the logs and this reduce the value you can get out of Elastic Search.

What business problems are you solving with the product? What benefits have you realized?

Performance monitoring, problem investigation, root cause analysis of system issues. Many teams have dashboards they use to monitor their services.

What Enterprise Search solution do you use?

Thanks for letting us know!
Elasticsearch review by Pradeep S.
Pradeep S.
Validated Reviewer
Review Source

"Elasticsearch saves a lot of time optimizing search"

What do you like best?

The first thing I like is that it's open source. If it weren't, I wouldn't have used it. Distributed search was another thing which helped me choose elasticsearch. I love the fact that I have control over many aspects of this search engine, providing me opportunity to extend it the way I want and optimize it.

What do you dislike?

Documentation could be improved a lot. Some concepts of elasticsearch take time to learn. Improving documentation and creating hands on tutorial in virtual environment without setup will provide opportunity to get one familiar with the engine and make less mistakes.

Recommendations to others considering the product

Elasticsearch can be the first choice. For beginners, it is the best.

What business problems are you solving with the product? What benefits have you realized?

I used it to implement text search for products. I could do all the things I imagined a search engine should have.

Elasticsearch review by Glenn G.
Glenn G.
Validated Reviewer
Verified Current User
Review Source

"Easy to use, hard to master"

What do you like best?

Elasticsearch is opensource, it just works out of the box, you throw some documents in elasticsearch and you can search on them. You get started in no time and the documentation is great for the most common of uses. The ELK stack is a great addition for logging.

What do you dislike?

The query language is hard to master for advanced cases. I never needed advanced features but still I have spent a lot time with the documentation trying to solve my cases with trial and error. Elasticsearch needs more server resources than you average application.

What business problems are you solving with the product? What benefits have you realized?

Elasticsearch provides us with a super fast search engine. We work with Amazon Elasticsearch Service, this allows us to easily scale. I takes away all infrastructure management. Elasticsearch works with a beautiful API so it can easily be integrated into any technology.

Elasticsearch review by Oded S.
Oded S.
Validated Reviewer
Verified Current User
Review Source

"Quick searching made easy"

What do you like best?

The easy installation, easy of searching out of the box.

What do you dislike?

querying is not easy. If you want to understand the underlaying querying, analyzers and tokenizer, it should take you some time. This is not trivial.

Recommendations to others considering the product

If you want to enable searching capabilities to your apps, elastic is easy to setup, and if you want the standard out of the box capabilities - you should be ok. If you need more advance querying from elastic, make your self some time off to learn.

If you need logging monitor for your server, this is the right tool as well, combining it with logstash and kibana

What business problems are you solving with the product? What benefits have you realized?

Searching in a huge amount of data, was made easy with elastic search. It provides a search capabilities to our applications.

In addition, it solves us the ELK stack (Elastic, Logstash, Kibana) - which provides us monitoring for logs in real time.

Elasticsearch review by Timothy S.
Timothy S.
Validated Reviewer
Verified Current User
Review Source

"ElasticSearch for ELK"

What do you like best?

It's open source, free, fast and the basic stack is quick to install and get running. The fact that it is well bundled with ELK (log stash and kibana) make it awesome for aggregating and searching logs. it also works really well as a cache for semistructured data and on top of a hadoop cluster. It's a great utility product for many uses from one cluster.

What do you dislike?

It's a bit hard to optimize and if you don't carefully monitor it, you will have weird crashes and run out of memory or disk space. You need to follow the documentation carefully and watch the resources. Always make sure you have more RAM and DISK then you will need by at least 25%.

Recommendations to others considering the product

Download it and try it on one server. Especially start with the ELK stack as that's a good use case and if you can't use it for anything else 1 server could make a great little ELK stack for your developers for their Java application servers. It has most of the functionality that you want from Splunk but without any cost unless you are getting the extra tools and support from Elastic. If you are putting it in production with a ton of servers and many critical use cases, you will want the enterprise support and tools from Elastic.

What business problems are you solving with the product? What benefits have you realized?

We needed it for log aggregation, log searching, data aggregation, data searching and for caching data for web sites.

All of these work as advertised, the performance requires careful thought and setup. Out of the box, you need specific configuration for the file types you are using.

Elasticsearch review by Bradley H.
Bradley H.
Validated Reviewer
Verified Current User
Review Source

"Incredibly powerful, large learning curve"

What do you like best?

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?

The learning curve can be very daunting (the first ES book was probably 4x thicker than any other programming book I own).

Recommendations to others considering the product

I'd say it's between Solr and Elasticsearch and es is a much more powerful tool.

What business problems are you solving with the product? What benefits have you realized?

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.

Elasticsearch review by Administrator
Administrator
Validated Reviewer
Verified Current User
Review Source

"Great tool for search, but only search"

What do you like best?

Search is fast and the RESTful API is easy to use, not to mention documentation is great and there is a sizable ElasticSearch community. ElasticSearch should be the go-to tool for anyone looking for a full-text search solution for their application.

What do you dislike?

For anyone that came from a SQL background (like me), getting used to ElasticSearch can take some time. In particular, you need to know what an index, a cluster, nodes and shards are before you can decide the best configuration for your application. ElasticSearch is an open source tool with a paid support function if you'd like, but it's very expensive.

Recommendations to others considering the product

You'll likely spend a while learning ElasticSearch before you become comfortable with it. Depending on the application you use to incorporate ElasticSearch, there may be official libraries that help you get up to speed fast. For example, ElasticSearch has a ruby gem for Ruby on Rails users

What business problems are you solving with the product? What benefits have you realized?

We need full text search for an integral part of our application, ElasticSearch has been a great tool for that.

Elasticsearch review by Andy T.
Andy T.
Validated Reviewer
Review Source

"Elastic search is used for storing all our application and server logs"

What do you like best?

It is very easy to install and get going with Elasticsearch, with the ability to transform and manipulate the data as it is inserted allowing for better search results, and grouping of data for reporting. It ties in well with Logstash and Kibanna to create a one stop reporting platform and storage for all our logs from servers as well as our own developed software.

What do you dislike?

Creating a Elastic cluster requires a lot of thought and planning, we have also had a few unexplained outages from elastic search were it would drop nodes from the cluster without warning and stop reporting from working

Recommendations to others considering the product

Using elastic search has made querying log files for error much easier, with large log files located on multiple servers meant logs files were missed and errors unaccounted for, elastic search gave us a perfect solution for this

What business problems are you solving with the product? What benefits have you realized?

We wanted a single platform to store and monitor log files for our applications and servers, and elastic search provides the perfect storage platform for this

Elasticsearch review by Paulo Vitor R.
Paulo Vitor R.
Validated Reviewer
Review Source

"Flexible, easy to use and powerful"

What do you like best?

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)

What do you dislike?

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).

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.

What business problems are you solving with the product? What benefits have you realized?

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.

Elasticsearch review by Israel F.
Israel F.
Validated Reviewer
Review Source

"A scalable and easy to use search solution"

What do you like best?

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.

What do you dislike?

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.

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.

What business problems are you solving with the product? What benefits have you realized?

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.

Elasticsearch review by Keith L.
Keith L.
Validated Reviewer
Verified Current User
Review Source

"NoSQL search everything technology"

What do you like best?

I was playing around with Couchbase and I saw the plugin with Elasticsearch. It was pretty easy to install based on a JVM and connected easily to Couchbase. Suddenly, we could search all our data with one huge reverse index. Of course, you do need to refine your queries, but it proved so powerful, right out of the gate. The developer community also seems quite strong, and since it is RESTful it can serve many environments. I have been using NEST to connect from .Net server. Cluster seems very resilient when nodes drop, and indexes new data very fast, and also queries very fast. Marvel Sense provides a nice intellisense to write your DSL queries.

What do you dislike?

Though you can monitor the cluster from RESTful queries, you have to use either the head plugin or the marvel plugin to monitor the cluster. Whenever you change your schema, you have to reindex your data which is basically reloading all your data. Though it seems like it could be a permanent data store, the Elasticsearch people say it should not be trusted to be a permanent data store. I have reloaded my indexes many times, due to schema changes, so it is just as well. Security is also an option you only get with the enterprise version. Otherwise it is completely open.

Recommendations to others considering the product

The first thing you need to do is turn your data into JSON objects. It does not matter at first if you get the JSON design correct, since Elasticsearch allows for an iterative development process. Just dive in.

What business problems are you solving with the product? What benefits have you realized?

We wanted a very flexible and open way to search our data. We felt hemmed in by SQL queries and a fixed schema, and Elasticsearch has realized our vision of a very open ended search of our data, and it is super fast.

Elasticsearch review by Eric M.
Eric M.
Validated Reviewer
Verified Current User
Review Source

"Scalable, easy-to-use, easy-to-configure document search"

What do you like best?

Easy-to-configure interface and scalability. I use ElasticSearch to augment slower, MySQL-based document collections and the in-memory indexing and searchability is a huge win!

What do you dislike?

The built-in Marvel plugin is "free for development use" but continues to nag as if I need a license regardless.

Recommendations to others considering the product

ElasticSearch itself requires a server to run. If you're already running a Linux development server, adding ElasticSearch is straight-forward. If you aren't, you'll need a secondary server to run the application.

What business problems are you solving with the product? What benefits have you realized?

We use WordPress for project hosting and its search capabilities aren't performant at all. We use ElasticPress to augment the slower MySQL database such that content is easily discoverable, including the various meta information stored elsewhere in a relational database.

Elasticsearch review by David L.
David L.
Validated Reviewer
Review Source

"Index and Search millions of data and Logs"

What do you like best?

Easy to deploy, easy to integration with exist infrastructure.

Pluggable front end management tool by head, easy monitoring and statistics by bigdesk.

Integration of customized analyzers.

Automatic cluster discovery by broadcast.

Easy integration with Logstash and Kibana for log visualization and searching.

What do you dislike?

Lack of a web front end for configuration management (like the indexing strategy, tokenizer strategy, data source, etc...)

Lack of indexing process tuning tool.

Lack of indexing process visualization.

Recommendations to others considering the product

Spend some time on investigating the plugins, they will save you lots of time.

Consider well about the security before you put it to public network.

Use SSD as your storage. Set proper shard size less than 30GB.

What business problems are you solving with the product? What benefits have you realized?

We have hundreds of millions of POI data, and billions of nginx/tomcat Logs.

And we need to search and group POI data, to find and analyze logs.

Elastic search is the right tool.

Elasticsearch review by Marielle Lynn N.
Marielle Lynn N.
Validated Reviewer
Review Source

"Strange at first, but amazing product"

What do you like best?

This product was hard to get used to coming from SQL based querying and storage, but this product storage was so much more useful for the twitter data we used to store in it.

What do you dislike?

It was confusing because of the document based storage, which was strange.

Recommendations to others considering the product

Fantastic for data with rigid formats such as Tweets

What business problems are you solving with the product? What benefits have you realized?

Storing and querying on millions of tuples of twitter data. it was much easier to query over the data and visualize on that data.

Elasticsearch review by Roberto F.
Roberto F.
Validated Reviewer
Verified Current User
Review Source

"Easy to install - powerful to use"

What do you like best?

The tool is powerful, free and very easy to install. The documentation is wonderful. Well written and complete.

What do you dislike?

Nothing. Perhaps it is not in its maturity stage. They are releasing new major versions and it can be a problem.

What business problems are you solving with the product? What benefits have you realized?

To analyze logs for a company

Elasticsearch review by User in Information Technology and Services
User in Information Technology and Services
Validated Reviewer
Verified Current User
Review Source

"Elastic search is a great tool for searching across a large body of documents."

What do you like best?

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?

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.

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.

What business problems are you solving with the product? What benefits have you realized?

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).

Elasticsearch review by Consultant in Computer Software
Consultant in Computer Software
Validated Reviewer
Verified Current User
Review Source

"Served the purpose and added value to my work"

What do you like best?

Provides solution for most of the search related use cases.

Ease of implementation is the best thing in elasticsearch.

What do you dislike?

Loosing data while partitioning and no sql like query system to look for data. No layer above implementation for any solution.

Recommendations to others considering the product

This can work as basic and advance level of solution depending on the need. When it comes to searchable the Elasticseach is the best choice because of its ease of implementation and scalability.

What business problems are you solving with the product? What benefits have you realized?

Implemented seamless search for all the entities in our system. After successful implementation for entities data we implement for meta data and it did not find any performance setback.

Elasticsearch review by User in Higher Education
User in Higher Education
Validated Reviewer
Verified Current User
Review Source

"very powerful but steep learning curve"

What do you like best?

It is a very powerful and flexible tool that enables search and retrieval very efficiently on commodity clusters. Text search is very flexible and customizable, which allows for almost any use cases you can think of.

What do you dislike?

The query language is complicated and not particularly intuitive (too many levels JSON nesting). Further, the native API is not very well documented and difficult to use. Given the flexibility and power of the software, this is to be expected, but more examples and use cases would be very helpful.

Recommendations to others considering the product

Be prepared for a steep learning curve.

What business problems are you solving with the product? What benefits have you realized?

Marketing analytics. Elasticsearch allow efficient storage, search and retrieval of logs, analytics data and raw text content.

Elasticsearch review by Emanuele L.
Emanuele L.
Validated Reviewer
Verified Current User
Review Source

"Changed our life"

What do you like best?

It is fast, it is robust, it's APIs are very very well designed

What do you dislike?

I don't have any complains at the moment

What business problems are you solving with the product? What benefits have you realized?

We are using it with Kibana to store and analyse our Application Logs. It fullfills our notsoBIG DATA needs which are not so pressing as to decide to build a Hadoop infrastructure. This is a much more ready to use tool

Elasticsearch review by Bruno B.
Bruno B.
Validated Reviewer
Review Source

"The best search engine"

What do you like best?

Easy to setup.

Easy to insert data.

Easy to query data (at the beginning).

Very nice web API.

What do you dislike?

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 business problems are you solving with the product? What benefits have you realized?

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.

Elasticsearch review by Atara T.
Atara T.
Validated Reviewer
Verified Current User
Review Source

"es as utility to search and index large data"

What do you like best?

This utility has a simple Java API and have many documentation

What do you dislike?

When you get an exception it is not very clear what exactly is the error

Recommendations to others considering the product

Try to avoid many indexes if you don't need

What business problems are you solving with the product? What benefits have you realized?

Indexing large data

Elasticsearch review by Guy T.
Guy T.
Validated Reviewer
Review Source

"Powerful full text search server"

What do you like best?

Integration with Kibana and Logstash turns it into a powerful data and trend visualisation tool with the ability to run ad hoc queries. HTTP interface and schemaless nature allow users flexibility to modify both data stored and queries run as needed.

What do you dislike?

Can be hard to debug even with plugins such as kopf. High hardware requirements to run efficiently.

Recommendations to others considering the product

Powerful but consider options requiring less hardware to run before committing to the cost and complexity of supporting it.

What business problems are you solving with the product? What benefits have you realized?

Ability to perform

Elasticsearch review by Cataldo M.
Cataldo M.
Validated Reviewer
Review Source

"Great Search Features!"

What do you like best?

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?

Nothing. It is really a nice tool. I suggest it to everyone.

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.

What business problems are you solving with the product? What benefits have you realized?

Implementation of search engines. semantic search. geo-localization-based search.

Elasticsearch review by Lee G.
Lee G.
Validated Reviewer
Review Source

"Ultimate Scalable Search"

What do you like best?

Easy to configure, deploy, scale, and use.

What do you dislike?

Make sure you are checking the correct version of the documentation - lots of healthy updates and new features always being added.

What business problems are you solving with the product? What benefits have you realized?

Enterprise-level search -- from thousands to billions of records, from photographs to PDFs and everything else.

Elasticsearch review by Administrator in Design
Administrator in Design
Validated Reviewer
Verified Current User
Review Source

"Powerful search with a simple API"

What do you like best?

That would have to be deployment. You have to actually go out of your way to mess up an install.

What do you dislike?

While the API interface is pretty straight forward, having deeply nested hashes can be a little cumbersome.

What business problems are you solving with the product? What benefits have you realized?

I use ElasticSearch for many tasks; geo queries, events, and standard full text searching.

Elasticsearch review by Josh K.
Josh K.
Validated Reviewer
Review Source

"Fast/Reliable search & analytics"

What do you like best?

Speed and performance. Low overhead. Wide range of abilities and extendable plugins available.

What do you dislike?

There's not much to dislike. Some of the documentation could be more concise.

What business problems are you solving with the product? What benefits have you realized?

Searching, reporting, analytics.

Elasticsearch review by User
User
Validated Reviewer
Review Source

"Elastic search"

What do you like best?

Easy to integrate with other applications. Kibana for visualization provides so many options to work over elastic search data.

What do you dislike?

The setup looks a bit complicated with too many confusing terms like index, id, document, etc.

What business problems are you solving with the product? What benefits have you realized?

I am using elastic search to dump the output from my big data projects. The analyses data is later used in kibana for visualization

Elasticsearch review by Consultant in Staffing and Recruiting
Consultant in Staffing and Recruiting
Validated Reviewer
Verified Current User
Review Source

"Elasticsearch, Logstash & Kibana"

What do you like best?

Best for large scale application with quantity matters than quality data.

What do you dislike?

Need more examples of successful project implementation and product blogs etc...

Recommendations to others considering the product

Consider quantity matters than quality.

What business problems are you solving with the product? What benefits have you realized?

Search against the larger data with lesser time, quick-fast with easy and free open source availability

Elasticsearch review by User in Public Safety
User in Public Safety
Validated Reviewer
Verified Current User
Review Source

"Great search engine"

What do you like best?

Very fast search. Mostly intuitive plugins. Great integration with other 3rd parties.

What do you dislike?

It diesn't designed and actualy awfull as a data base.

Missing some search functionality that was useful in relation db.

What business problems are you solving with the product? What benefits have you realized?

Big data RT search.

Elasticsearch review by User in Information Technology and Services
User in Information Technology and Services
Validated Reviewer
Review Source

"So fast"

What do you like best?

The speed is incredible. Querying 2 billion or more documents usually returns results in less than 500ms, and sometimes way faster.

What do you dislike?

Understanding why some queries are slow while others are blazing fast isn't very intuitive sometimes.

Recommendations to others considering the product

Give it a try, especially if you're still on MYSQL and the database is becoming a bottleneck for performance

What business problems are you solving with the product? What benefits have you realized?

Querying big data in the fastest way possible.

Elasticsearch review by Internal Consultant
Internal Consultant
Validated Reviewer
Review Source

"great tool"

What do you like best?

full text search, statistical info on words, n-grams, bag of words occurrences, speed

What do you dislike?

some feature like term vectors is limited at each node, so each node of your cluster has his own statistics.

if i delete, update a document statistics don' t change.

What business problems are you solving with the product? What benefits have you realized?

i am building a Search Engine

Elasticsearch review by Administrator
Administrator
Validated Reviewer
Review Source

"A fast and reliable search software"

What do you like best?

Very reliable, flexible and quite fast search software.

What do you dislike?

The main API language of Elastic is JSON-formed. This is very non-intuitive, hard to write manually, very hard to remember the quirks of the syntax in various types of queries.

What business problems are you solving with the product? What benefits have you realized?

Searching and filtering in a large corpus of transcripts. Collecting some basic statistics.

Elasticsearch review by Administrator in Information Technology and Services
Administrator in Information Technology and Services
Validated Reviewer
Review Source

"I have used Elasticsearch on production by 2 years"

What do you like best?

elasticsearch allow me to scale out flexibly and rapidly as my data grows (horizontal scale)

What do you dislike?

I can't add a new parent/child relation once the index already created.

Recommendations to others considering the product

elasticsearch will allow you to scale out flexibly and rapidly as your data grows

What business problems are you solving with the product? What benefits have you realized?

- Near real time searchs

- My queries has executed in less than 2 seconds

Elasticsearch review by User in Information Technology and Services
User in Information Technology and Services
Validated Reviewer
Review Source

"Best open source search database"

What do you like best?

One of the Best open source fulltext searching database I ever worked.

What do you dislike?

Index time and database back up restore complexity

Recommendations to others considering the product

Best open source search database

What business problems are you solving with the product? What benefits have you realized?

Searching through formatted contents and search relevance based on different fields and formatting

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