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Amazon Elasticsearch Service vs Elasticsearch: What are the differences?
Developers describe Amazon Elasticsearch Service as "Real-time, distributed search and analytics engine that fits nicely into a cloud environment". . On the other hand, Elasticsearch is detailed as "Open Source, Distributed, RESTful Search Engine". Elasticsearch is a distributed, RESTful search and analytics engine capable of storing data and searching it in near real time. Elasticsearch, Kibana, Beats and Logstash are the Elastic Stack (sometimes called the ELK Stack).
Amazon Elasticsearch Service and Elasticsearch can be categorized as "Search as a Service" tools.
"Easy setup, monitoring and scaling" is the top reason why over 7 developers like Amazon Elasticsearch Service, while over 310 developers mention "Powerful api" as the leading cause for choosing Elasticsearch.
Elasticsearch is an open source tool with 42.4K GitHub stars and 14.2K GitHub forks. Here's a link to Elasticsearch's open source repository on GitHub.
According to the StackShare community, Elasticsearch has a broader approval, being mentioned in 2000 company stacks & 976 developers stacks; compared to Amazon Elasticsearch Service, which is listed in 79 company stacks and 13 developer stacks.
Pros of Amazon Elasticsearch Service
- Easy setup, monitoring and scaling10
- Document-oriented7
- Kibana6
Pros of Elasticsearch
- Powerful api320
- Great search engine310
- Open source230
- Restful213
- Near real-time search200
- Free96
- Search everything83
- Easy to get started54
- Analytics45
- Distributed26
- Fast search6
- More than a search engine5
- Awesome, great tool3
- Easy to scale3
- Great docs3
- Great customer support2
- Intuitive API2
- Nosql DB2
- Great piece of software2
- Document Store2
- Fast2
- Easy setup2
- Highly Available2
- Reliable1
- Not stable1
- Github1
- Elaticsearch1
- Actively developing1
- Responsive maintainers on GitHub1
- Ecosystem1
- Scalability1
- Potato1
- Community0
- Easy to get hot data0
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Cons of Amazon Elasticsearch Service
Cons of Elasticsearch
- Diffecult to get started6
- Resource hungry5
- Expensive4
- Hard to keep stable at large scale3