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Amazon Elasticsearch Service OverviewUNIXBusinessApplication

Amazon Elasticsearch Service is #3 ranked solution in top Search as a Service vendors. PeerSpot users give Amazon Elasticsearch Service an average rating of 8 out of 10. Amazon Elasticsearch Service is most commonly compared to Amazon Kendra: Amazon Elasticsearch Service vs Amazon Kendra. The top industry researching this solution are professionals from a media company, accounting for 37% of all views.
What is Amazon Elasticsearch Service?

Amazon Elasticsearch Service is a managed service that makes it easy to deploy, operate, and scale Elasticsearch clusters in the AWS Cloud.

Buyer's Guide

Download the Search as a Service Buyer's Guide including reviews and more. Updated: January 2022

Amazon Elasticsearch Service Customers

VIDCOIN, Wyng, Yellow New Zealand, zipMoney, Cimri, Siemens, Unbabel

Amazon Elasticsearch Service Video

Amazon Elasticsearch Service Pricing Advice

What users are saying about Amazon Elasticsearch Service pricing:
"Compared to other cloud platforms, it is manageable and not very expensive."

Amazon Elasticsearch Service Reviews

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Ashish Jaiswal
Senior Software Engineer at a financial services firm with 10,001+ employees
Real User
Top 5Leaderboard
Timely support, recovers easily from failure, and in general it makes our lives easy
Pros and Cons
  • "In case there is a failure, Elastic manages everything well, and there no major downtime."
  • "The configuration should be more straightforward because we had to select a lot of things."

What is our primary use case?

We are using Elasticsearch for embedded management and infrastructure management. Our environment includes instances with different tools and components from different companies.

What is most valuable?

In case there is a failure, Elastic manages everything well, and there no major downtime. There may be alternative instances created at the same time.

What needs improvement?

The configuration should be more straightforward because we had to select a lot of things. This included the CPU and the configuration required for the alternative instance. We would prefer that whatever we have configured for EC2 is just copied, and alternate operations required at the user's end can be done with just a simple click. You should not have to enter the details again, such as what memory is required or what CPUs are needed.

For how long have I used the solution?

We have been using the Amazon Elasticsearch Service for almost a year. I have been working with several Amazon services for about the same length of time.

What do I think about the scalability of the solution?

Definitely, this solution is very scalable.

We are a very big organization. We have approximately 50,000 employees across the globe.

Most of them are using AWS services, so I'm sure they are also very versed in Elasticsearch.

How are customer service and technical support?

Technical support is good and we get a very timely response.

Which solution did I use previously and why did I switch?

We were using a Linux-based solution but it was really complicated. AWS has now made our life easy. It's a really helpful product.

How was the initial setup?

The initial setup was straightforward. We followed the AWS guidelines for the process and it worked. I think that the installation took between 10 and 15 minutes.

We are currently using the on-premises deployment but we are planning to implement the SaaS solution. We plan to continue using this solution in the future.

What about the implementation team?

The deployment was done by our cloud operations team.

We have an operations team of more than 20 members to deploy and maintain this solution.

What's my experience with pricing, setup cost, and licensing?

Compared to other cloud platforms, it is manageable and not very expensive.

What other advice do I have?

I would rate this solution an eight out of ten.

Which deployment model are you using for this solution?

On-premises
Disclosure: I am a real user, and this review is based on my own experience and opinions.
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