AWS ElasticSearch uses documents rather than schema or tables, which allows for real-time search and analysis of your data.
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.
start building ->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.
start building ->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.
start building ->AWS ElasticSearch is a highly scalable tool. It enables the users to store up to 3 PB data in a single cluster.
start building ->AWS Elasticsearch has built-in integrations with AWS services. This includes AWS IOT, CloudWatch Logs, and Kinesis Firehose for seamless data ingestion.
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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.