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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
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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.
1 person found this helpful
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!
Search your index at a blazing fast response times with Elastic
What do you like best about the product?
Elasticsearch works on Lucene which makes it perform searches on the index/metadata available. It is also good enough to perform an analysis of the searched content.
It just works with any cloud/ on-prem environment.
It just works with any cloud/ on-prem environment.
What do you dislike about the product?
Elastic nodes require to have a large amount of memory and storage in order to work.
Our Elastic is hosted on Azure and we have been using premium disks for better IOPS which results in big cost
Our Elastic is hosted on Azure and we have been using premium disks for better IOPS which results in big cost
What problems is the product solving and how is that benefiting you?
We have using Elasticsearch hosted on Azure Cloud to perform searches on our storage blobs which has the project data from the last 60 years
We are also ingesting our events generated in Azure to Elasticsearch with the help pipelines in Logstash
We are also ingesting our events generated in Azure to Elasticsearch with the help pipelines in Logstash
I don't know any alternative, elasticsearch is very good.
What do you like best about the product?
Most likely functions are fuzziness, synonyms and other all functions.
What do you dislike about the product?
There is nothing that I can say that dislike this product.
What problems is the product solving and how is that benefiting you?
It's easy to use, I am switching my application backend API call side to ElastSearch.
Recommendations to others considering the product:
I am recommending to use Elasticsearch and move your application backend side (I mean the part where frontend call to backend retrieve a data) to Elasticsearch
I used Elastic search as a search Engine .
What do you like best about the product?
Elastic search worked on the top of Lucene Engine .Elastic search is an open source search engine which is very good in performance. As Elastic search is a document oriented database that is why it worked on full text search that is why it is fast in searching . I like the performance of elastic search.
What do you dislike about the product?
Till now everything is good, I personally feel good while using elastic search.
What problems is the product solving and how is that benefiting you?
I used elastic search for searching logs while implementing ELK stack to monitoring logs. I feel elastic search good because it is very fast in searching and also scalable.
Very good software
What do you like best about the product?
Set-up and install was quick and easy, even for multiple sites. Customized result rankings are a key feature for us (although if you have a ton of results, it can be a little tedious to go through) that is also easy to use, along with the ability to create synonym sets for various search terms. Many of our search terms have variations or are easily misspelled, so the synonym set has greatly reduced the number of empty searches that users were experiencing.
What do you dislike about the product?
Theming of the search bar and results isn't exactly intuitive and can require a little guidance. Some pieces could use an upgrade (such as the color picker) to make it easy to theme based on your branding guidelines.
What problems is the product solving and how is that benefiting you?
all my problems
Very fast search engine
What do you like best about the product?
Apache Elasticsearch is very fast search engine. It is very easy to use. It is real time, open source and distributed. Its response time is in milliseconds. It is json based on search engine. It also has HTTP web interface. Elasticsearch is developed in Java. We have many java libraries available to access Elastic search for example Jest client. I also has Kibana which is an open source data visualization plugin for Elasticsearch.
What do you dislike about the product?
Nothing as such. Only the Elasticsearch json queries we need to learn before using this.
What problems is the product solving and how is that benefiting you?
It is document based, that is no-sql. It helps to me search, filter and sort the data in real time. If we manually implement such then that may cause serious performance issue. It can be used as a document based database as well.
Recommendations to others considering the product:
There are other search engines in the market, Cosmos DB is one of them, but costly to use. This one is easy to use and 2 digit millisecond response time. So please go for it.
Modern Elasticsearch without the tuning
I moved to this from the AWS Elasticsearch service, and it's a breath of fresh air.
It includes XPack, and it's a modern version, which allows for some of the latest features.
The management interface is intuitive and provides a good level of flexibility vs ease of use.
Custom configuration can be added through the management portal into the elasticsearch.yml, and custom plugins can be installed.
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