AWS ElasticSearch

AWS ElasticSearch is a popular open source advanced intelligent search system used for large scale search applications. It is a managed service that makes it easy to deploy, operate and scale ElasticSearch in the AWS cloud. It is commonly used for log analytics, full-text search, security intelligence, business analytics, and operational intelligence use cases.


Why AWS ElasticSearch?

AWS ElasticSearch uses documents rather than schema or tables, which allows for real-time search and analysis of your data.


Easy to Use

In AWS ElasticSearch, all the services are fully managed, and this makes it easy to use. One can save time for backup, failure recovery, software patching, and monitoring.


High Security

AWS Elasticsearch is highly secure. It is easy to set up secure access to Amazon Elasticsearch Service from the VPC. It is done for the perfect maintenance of VPC.


Cost Effective

One of the biggest advantages of AWS ElasticSearch is they are very cost effective. You will only need to pay for the resources you consume.


Easily Scalable and Available

AWS ElasticSearch is a highly scalable tool. It enables the users to store up to 3 PB data in a single cluster.


Tightly integrated with AWS Services

AWS Elasticsearch has built-in integrations with AWS services. This includes AWS IOT, CloudWatch Logs, and Kinesis Firehose for seamless data ingestion.


Why is AWS ElasticSearch a Good Open Source Search Choice?

As a managed service, AWS Elasticsearch takes care of many of the setup, configuration, and maintenance tasks. So you can easily do the setup. Elasticsearch allows you to store, search, and analyze huge volumes of data quickly and in near real-time and give back answers in milliseconds. It's able to achieve fast search responses because instead of searching the text directly, it searches an index. So it is an ideal choice in terms of best open source search.