Thursday 3 January 2019

Difference between CloudSearch and ElasticSearch in AWS (CloudSearch vs ElasticSearch)

Both CloudSearch and ElasticSearch use powerful underlying search engines and enable you to search and analyze the data. Both are listed under the Analytics services in AWS console. Below are the basic differences between CloudSearch and ElasticSearch: 


1. Custom search service for your website or application.

2. CloudSearch uses open source Apache Solr as the underlying search engine.

3. Supports 34 languages and popular search features such as highlighting, autocomplete, and geospatial search.

4. It requires data to be loaded as documents and is good for full-text search, with an understanding of languages and grammar (example, synonyms, words to ignore etc.).

5. You can create a search domain and upload the data that you want to make searchable, and Amazon CloudSearch will automatically provision the required resources and deploy a highly tuned search index.


1. The service offers open-source Elasticsearch APIs, managed Kibana, and integrations with Logstash (ELK stack) and other AWS Services, enabling you to securely ingest data from any source and search, analyze, and visualize it in real time.

2. It is commonly used for near real-time visualizations of logs files and data analytics.

3. The service also offers built-in integrations with other AWS services such as Amazon Kinesis Data Firehose, AWS IoT, and Amazon CloudWatch Logs for data ingestion; AWS CloudTrail for auditing; Amazon VPC, AWS KMS, Amazon Cognito, and AWS IAM for security.

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