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
Increased my sales!
What do you like best about the product?
Using swift type allowed for my most relanvent items to be surfaced by my customers!
What do you dislike about the product?
A little pricey after the initial trial, but not was it worth the results!
What problems is the product solving and how is that benefiting you?
I have found a major increase in sales after using swift type!
Recommendations to others considering the product:
Try it for at least a few at least a few months! It takes a little to see the results
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.
Robust solution for search and indexing
What do you like best about the product?
Incredibly broad API. You can really do a lot of things with ElasticSearch when it comes to search and data, and I haven't even scratched the surface.
What do you dislike about the product?
Since there are so many APIs and tools within ES, and variety between releases, it can be difficult to figure out if you are using the API correctly or not. The DSL is not exactly easy to follow.
What problems is the product solving and how is that benefiting you?
We use it to power a search algorithm that caters results to the user's needs.
Recommendations to others considering the product:
If you are just using basic functionality, you may be able to just use your regular DB and it's functionalities.
Fantastic search engine
What do you like best about the product?
It's fast and reliable, very useful for searching and filtering large data sets. It's one of best ways to allow your app users to quickly navigate into your data, with full text search support, and aggregations help to increase power of filtering.
What do you dislike about the product?
Query language isn't the easy thing to implement, specially when you need advanced features (like search, aggregations with nested aggregations, plus filters and all in a single query).
What problems is the product solving and how is that benefiting you?
It's helping our users to navigate into own data, generating reports, allowing a search across entire app or in particular features.
Recommendations to others considering the product:
Great tool to use with your app, useful also for managing logs or exploring any data with Kibana.
Terminated deployment but still getting billed. No help from support.
We decided to try this service because we were looking for alternative to AWS Elasticsearch service. Setting up was easy but then we quickly realised that there was no way to host the service in our own VPC (which you can do with AWS Elasticsearch) so we terminated the deployment after just a half of day use and went on deploying latest ElasticSearch setup right on vanilla EC2 instance in our VPC which also pretty straightforward and appears to be the most flexible solution.
However to our surprise a few days later checking our AWS bill we noticed that despite the fact that our test deployment has been terminated days ago we were still being billed by Elasticsearch Inc as if it was still running.
We contacted their support but received no response to date. And we still getting billed. There is no deployment in our list so nothing we can do on our end.
Very frustrating and very unprofessional from Elasticsearch Inc.
Great
The set up is really straightforward and all the operational tasks. The big disadvantage is that you need a plus machine to host your logstashs agents.
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.
