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A fast & efficient way to store, search and analyze our structured & unstructured data
December 14, 2021

A fast & efficient way to store, search and analyze our structured & unstructured data

Sunny Hemnani | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User

Overall Satisfaction with Amazon Elasticsearch Service

1. With Amazon Elasticsearch Service, we analyze logs of our microservices-based application to fix bugs. 2. With Amazon Elasticsearch Service, we accumulate data across the microservices of our product for visualization & other business purposes. 3. The benefit of elastic search is that, since data is in JSON format, all our microservices can easily change the data structure.
  • Fast Index based search.
  • Scalable.
  • Best for structured and unstructured data.
  • It is not so simple to learn.
  • Documentation is often very confusing.
  • Centralized logging.
  • Handle tons of data.
  • Poor documentation.
  • Hard to debug issues.

Do you think Amazon Elasticsearch Service delivers good value for the price?

Yes

Are you happy with Amazon Elasticsearch Service's feature set?

Yes

Did Amazon Elasticsearch Service live up to sales and marketing promises?

Yes

Did implementation of Amazon Elasticsearch Service go as expected?

Yes

Would you buy Amazon Elasticsearch Service again?

Yes

Supports geographical data for location-based search where Amazon Elasticsearch Service is suited best. Amazon Elasticsearch Service provides various text analysis functionality for my application's data. For financial applications storing transactional records, since concurrency is very important in that case, Amazon Elasticsearch Service is not very well suited for those cases. Traditional ways to store data like Oracle SQL Database used to handle this problem much better.