Elastic Enterprise Search

About Elastic Enterprise Search
Elastic Enterprise Search is Elasticsearch, with a complete set of specialized tools and extensible APIs that make it easy to build search solutions and give users the best answers, every time. Monitor performance with robust analytics, tweak relevance in real-time, and scale it all seamlessly.
Key benefits of Elastic Enterprise Search
Elastic Enterprise Search enables organizations to see what their users are searching for, clicking on, and engaging with, even while they are actively searching, clicking, and browsing the site.
Users simply enter their site’s address into the platform, and Elastic Enterprise Search will index its contents automatically to create a search engine in real time.
Organizations can manually reindex specific pages or an entire website via dashboards, and instantly capture content changes with real-time indexing.
Elastic Enterprise Search allows users to customize search experiences by adjusting search relevance to meet specific needs, alongside custom result ranking.
Elastic Enterprise Search engines are optimized for both smartphones and tablets, whether Android or iPhone, for a completely mobile-friendly search experience.
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Alternatives
ArangoDB

Algolia

Apache Solr

Korra

Reviews
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- Industry: Computer Software
- Company size: 501–1,000 Employees
- Used Daily for 1+ year
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Review Source
Overall rating
- Value for Money
- Ease of Use
- Customer Support
- Likelihood to recommend 9.0 /10
Best search engine on the market
Reviewed on 2019/05/26
I work with Elasticsearch as a developer on a daily bases for textual search. It is the greatest...
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.
Reasons for Switching to Elastic Enterprise Search
Elasticsearch is basically the standard of the market. Much easier to set up, maintain and extend than Solr. And it is an open source software, unlike Algolia.- Industry: Computer Software
- Company size: 51–200 Employees
- Used Daily for 2+ years
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Review Source
Overall rating
- Value for Money
- Ease of Use
- Customer Support
- Likelihood to recommend 9.0 /10
Blazing fast in searching through a lot of data!
Reviewed on 2021/01/26
I am extremely satisfied with Elasticsearch, its speed & querying capabilities among lots of data...
I am extremely satisfied with Elasticsearch, its speed & querying capabilities among lots of data amaze me!
Pros
The fact that Elasticsearch offers really efficient & quick querying of data without a compromise on the different range of queries it can support is really awesome, also Elasticsearch can rank matching documents based on matching criteria which is also very useful. Elasticsearch also handles distributed queries very efficiently.
Cons
Reindexing documents can be a real pain if there is a major change in the schema, otherwise no complaints.
Alternatives Considered
ArangoDBReasons for Switching to Elastic Enterprise Search
Elasticsearch has more features, a good user community, and suited our needs better, therefore we selected Elasticsearch.- Industry: Computer Software
- Company size: 501–1,000 Employees
- Used Daily for 1-5 months
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Review Source
Overall rating
- Value for Money
- Ease of Use
- Likelihood to recommend 0.0 /10
Way to expensive to implement
Reviewed on 2024/07/23
Totally regret the purchase of this software
Totally regret the purchase of this software
Pros
Federated search across multiple platforms
Cons
The implementation was bad. The cost to implement to get anything close to what I would get with Algolia or Coveo is approximately 10 times the cost of the software.

- Industry: Computer Software
- Company size: 501–1,000 Employees
- Used Daily for 2+ years
-
Review Source
Overall rating
- Value for Money
- Ease of Use
- Customer Support
- Likelihood to recommend 10.0 /10
Great solution for implementing searching over vast amount of data!!
Reviewed on 2019/11/16
Elasticsearch helps in performing optimised searching over the vast amount of data present in your...
Elasticsearch helps in performing optimised searching over the vast amount of data present in your system. The configuration for Elasticsearch can have some learning curve, but once setup completely, the indexed searches are really fast as compared to other basic solutions and helps users in searching your system from vast amount of data. Its ideal for Big data and can be used in other e-commerce solutions also. Text searching is really fast and helps your system in maintaining performance and scalability over search operations.
Pros
Elasticsearch is a great solution for implementing optimised searches over the data you have lying in your databases. The setup and configuration is a bit tricky, but once you have configured the data points and the indexes, the search is lighting fast. You can go for the complete text search or for the autocomplete bases suggestions which can help your users to quickly search for the right things in your system.
Cons
The setup of Elasticsearch does have a learning curve for the developers, but the documentation is really helpful in getting you over the curve. Setting up indexes or data points for search can be tricky. Elasticsearch needs to setup a more proactive customer support so that developers who are facing deadlines, can easily sort their issues with the help of tech support.
- Industry: Computer Software
- Company size: 11–50 Employees
- Used Daily for 6-12 months
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Review Source
Overall rating
- Value for Money
- Ease of Use
- Customer Support
- Likelihood to recommend 10.0 /10
An extremely powerful search engine
Reviewed on 2022/10/08
Pros
Elastic search has completely changed how we can fetch and visualize our customer's data. With the advanced text indexing, we can easily build a text search engine which gives accurate results. The powerful query format allows us to construct complex queries from deep filter trees and aggregate data in any way we want. Most importantly, all of this is extemely fast - giving results within milliseconds when working with complex queries on milions of documents. If performance ever becomes a problem, Elastic search is easily horizontally scalable and therefore future-proof.
Cons
One critical thing I'm missing is a proper way of handling migrations. If you for example need to change the format of indexed documents - and therefore the mapping, you need to develop your own way of programatically handling the reindexing - or do it manually.
Elastic Enterprise Search FAQs
Below are some frequently asked questions for Elastic Enterprise Search.Q. What type of pricing plans does Elastic Enterprise Search offer?
Elastic Enterprise Search offers the following pricing plans:
- Starting from: US$299.00/month
- Pricing model: Free Version, Subscription
- Free Trial: Available
Q. Who are the typical users of Elastic Enterprise Search?
Elastic Enterprise Search has the following typical customers:
Self Employed, 2–10, 11–50, 51–200, 201–500, 501–1,000, 1,001–5,000
Q. What languages does Elastic Enterprise Search support?
Elastic Enterprise Search supports the following languages:
English
Q. Does Elastic Enterprise Search support mobile devices?
Elastic Enterprise Search supports the following devices:
Q. What other apps does Elastic Enterprise Search integrate with?
Elastic Enterprise Search integrates with the following applications:
Adobe Commerce, Google Analytics 360, Shopify, WordPress
Q. What level of support does Elastic Enterprise Search offer?
Elastic Enterprise Search offers the following support options:
Email/Help Desk, FAQs/Forum, Knowledge Base, Phone Support, 24/7 (Live rep), Chat
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