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.
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
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
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.
Easy to configure and use
Switched to Elasticsearch Service on Elastic Cloud after using AWS Elasticsearch service. The main reason was the ability of using x-pack plugins.
Great product!
We started using the service about a month ago, and so far it has been an absolute delight.
Before joining the Elastic Cloud, we were using AWS's Elasticsearch Service, but we needed some of the functionality that comes with the Elastic Stack, so the decision to transition wasn't hard.
I can highly recommend trying the product.
A great option if you don't want to manage your ES cluster manually
I've been using ElasticSearch for about 3 years in production, and while it's nice to be able to control the hardware configuration of your cluster not all projects have the bandwidth to dedicate someone's time to tuning cluster performance.
The Elasticsearch service gives you the best parts of Elasticsearch while taking the overhead of managing clusters off of your plate. It's a great choice for small teams and for organizations without dedicated devops teams.
easy to set up, scalable, and fast
We've been using this for about 6 months now, and it was super easy to set up and configure, our search queries have been fast, and we haven't had any downtime. Highly recommended, especially for small teams like ours that need to get the Elastic Stack up and running fast and with minimal effort.
