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Review on Elastic Enterprise Search
What do you like best about the product?
Elasticsearch has a generally excellent search speed and the capacity to ingest unstructured information. It has been an essential item on the lookout, It's noting quick, able to help, and there is a substantial local area and documentation for everything. Backing of the majority of the programming dialects.
What do you dislike about the product?
I don't have any dislikes about Elastic Enterprise Search
What problems is the product solving and how is that benefiting you?
Setting up Elastic Enterprise Search is speedy and straightforward for trial and error with Docker. Making a file on ES is a consistent application experience. Because of the enormous client base, building frontend applications with ES joining was not challenging to employ.
Need Search Functionality , Try -> ElasticSearch
What do you like best about the product?
1. Providing all the required stuff for the UI like a Search bar, Auto Suggestions, Filters, Paginations etc..
2. Support of most of the programming languages
3. Their Component Library to reuse and update
4. Scraping the site and providing the required contents in the search
2. Support of most of the programming languages
3. Their Component Library to reuse and update
4. Scraping the site and providing the required contents in the search
What do you dislike about the product?
Not providing much feasibility on updating the UI components they are providing. Cost-wise it's a little high. Need to increase their trial period. And less tutorial for this
What problems is the product solving and how is that benefiting you?
We have added the search bar into our homePage with the help of elastic search. It has provided all the required functionalities for the search, we have not created any API's for it. Less code.
Recommendations to others considering the product:
If you want to incorporate a scalable search bar with less code implementation then you will definitely like elastic search
We used swiftype for 5+ years
What do you like best about the product?
It has best grade plugins available. Majorly we used jquery plugin that is easily usable.
What do you dislike about the product?
Because of unstructured data, some time the accuracy of swiftype results are not of great quality.
What problems is the product solving and how is that benefiting you?
We are searching in our documentation, all static webpages and Knowledge base articles.
Advanced search mechanism with elastic search
What do you like best about the product?
I don't know the backend of elastic search but the way it perform searches is incredible. I have 90000 records in my index and each record was quite huge but still while fetching it just didn't take long time.
It work very fast and incredibly
It work very fast and incredibly
What do you dislike about the product?
There should be some proper documentation for request and expected response from elastic search.
What problems is the product solving and how is that benefiting you?
I used elastic search for distance query and geolocation query where I was suppling coordinates for the same and in return I am getting data or record present inside it.
It is super cool how elastic search searches in geo way.
It is super cool how elastic search searches in geo way.
Best platform for ElasticSearch Query and Analysis
What do you like best about the product?
The dev console is very good for writing queries and running them
What do you dislike about the product?
Error handling is not good, Like if I write a query and it throws an error messages are not clear
What problems is the product solving and how is that benefiting you?
We are storing eCommerce data in elastic search and we use kibana to run queries and analyze the data
Recommendations to others considering the product:
There are multiple ways of using kibana in data science field, read about them thoroghly
Great work
Hi, we have tried Elastic Cloud and feel very satisfied with it. I would like to inquire about.
Is there an internal channel to directly access our ec2 or k8s cluster on aws？
Elasticsearch for data business
What do you like best about the product?
Setting up ES is quick and easy for experimentation with Docker. Creating an index on ES is a seamless app experience. Due to the large user base, building frontend apps with ES integration was easy to hire for.
What do you dislike about the product?
The only downside is the work you need to do to structure the date before import. It’s also difficult to update the ES mapping afterwards
What problems is the product solving and how is that benefiting you?
We are building a data business licensing research data for AI development. ES provides a powerful backend for searching through complex datasets and provides more features out of the box than if we had used a nosql db
Best tool for web analytics, log analysis and works pretty well like a db
What do you like best about the product?
Elastic search is the best tool for working with textual information.
The first advantage is a speed of search of your indexed documents. Millions of documents can be processed and be ready for search immediately.
The second big advantage of elastic search is its scalability. You can start with 1 node but when your project grows you simply adding nodes to the cluster and elastic search manages everything by itself and transfer data equally among nodes.
The third advantage is pretty powerful "free-tier" which is ideal for the startup projects.
Elastic search has a lot of products from the same company ("Elastic stack") which as a set is very powerful "toolbox" for solving set of problems such as: website log analysis, analyzing scientific information, presenting information in graphical form.
My favorite feature is data aggregations when the developer can set a query inside query and then split response for buckets and aggregations do not add any time for query execution.
Working with GEO - data "out- of-the-box"
Elastic search uses http access which is much more convenient than working with Java Lucene directly. In addition response is given is JSON, which is very easy to process.
Additionally it has almost all main languages package support, so we parse data with GO-lang and show it on the website with Java-script.
The first advantage is a speed of search of your indexed documents. Millions of documents can be processed and be ready for search immediately.
The second big advantage of elastic search is its scalability. You can start with 1 node but when your project grows you simply adding nodes to the cluster and elastic search manages everything by itself and transfer data equally among nodes.
The third advantage is pretty powerful "free-tier" which is ideal for the startup projects.
Elastic search has a lot of products from the same company ("Elastic stack") which as a set is very powerful "toolbox" for solving set of problems such as: website log analysis, analyzing scientific information, presenting information in graphical form.
My favorite feature is data aggregations when the developer can set a query inside query and then split response for buckets and aggregations do not add any time for query execution.
Working with GEO - data "out- of-the-box"
Elastic search uses http access which is much more convenient than working with Java Lucene directly. In addition response is given is JSON, which is very easy to process.
Additionally it has almost all main languages package support, so we parse data with GO-lang and show it on the website with Java-script.
What do you dislike about the product?
It's hard to find... However elastic search requires a lot of operative memory as its based on Java and Java Virtual Machine. Its Query DSL (Domain Specific Language) is very different from SQL, so it has some learning curve.
What problems is the product solving and how is that benefiting you?
We use elastic search like a database in real estate website. It fits much better to the task than a SQL database as it provide much more capabilities for data analysis.
Recommendations to others considering the product:
The first recommendation is security - ALWAYS protect 9200 default port (it's better to change the default port in settings), also close a Kibana port 5601. You will be hacked immediately and all your data will be deleted.
Extremely great tool with accurate results production.
What do you like best about the product?
The Swiftype free trial version its very helpful, especially to those just getting started with the system. The tool interface is classy and easy to navigate, finding any search via the Product its quite responsive because of the software functional searching option.
Website management and the capability to track any result with Swiftype is great, and their technical team is always active.
Website management and the capability to track any result with Swiftype is great, and their technical team is always active.
What do you dislike about the product?
None. Very easy tool to deploy and get moving even to those users with little experience with familiar tool.
What problems is the product solving and how is that benefiting you?
Quick obtaining of predictable searches, and effective results tracking and some more benefits from the tool.
Recommendations to others considering the product:
Swiftype is the only tool option for the effective and accuracy searching system, offering quick predictive search results and an easy interface to start using.
Blazing fast search engine, but a steep learning curve
What do you like best about the product?
Speed! ElasticSearch is FAST. It is also flexible. You can create very complex index structures, with filters, aggregations, vast array of sorting options, structuring your documents in a 'noSQL' way and deploy it either on one node or multiple nodes for performance and spreading the load across multiple devices. It works on a local server as well as in the cloud.
What do you dislike about the product?
It is hard to get started with the syntax, the DSL, understanding the intricacies. I also don't like that they deprecate things too fast. Before you can learn how everything works and you manage to implement it, a new version comes out and some of the features are deprecated. The syntax is quite hard to get a hold of and knowing where everything goes is a challenge when you are starting out. The documentation on the website is quite hard to navigate, most of the time you find yourself on the wrong version and the examples don't apply. Many times, the examples are out of date and do not work, even if you are on the correct version.
What problems is the product solving and how is that benefiting you?
I have developed my own e-commerce search engine, integrated with my e-commerce applications. We've increased speed and relevance of results in our website searches as well as added capability for filtering, sorting, scoring, relevance tweaking and more things we could not do with our previous search engine.
Recommendations to others considering the product:
Start simple!
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