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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
Pros of Elasticsearch
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
Cons of Amazon Elasticsearch Service
Be the first to leave a con
Cons of Elasticsearch
- Diffecult to get started6
- Resource hungry5
- Expensive4
- Hard to keep stable at large scale3
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- No public GitHub repository available -
What is Amazon Elasticsearch Service?
Amazon Elasticsearch Service is a fully managed service that makes it easy for you to deploy, secure, and operate Elasticsearch at scale with zero down time.
What is Elasticsearch?
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).
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Jobs that mention Amazon Elasticsearch Service and Elasticsearch as a desired skillset
What companies use Amazon Elasticsearch Service?
What companies use Elasticsearch?
What companies use Amazon Elasticsearch Service?
What companies use Elasticsearch?
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What tools integrate with Amazon Elasticsearch Service?
What tools integrate with Elasticsearch?
What tools integrate with Amazon Elasticsearch Service?
What tools integrate with Elasticsearch?
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Blog Posts
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What are some alternatives to Amazon Elasticsearch Service and Elasticsearch?
Amazon CloudSearch
Amazon CloudSearch enables you to search large collections of data such as web pages, document files, forum posts, or product information. With a few clicks in the AWS Management Console, you can create a search domain, upload the data you want to make searchable to Amazon CloudSearch, and the search service automatically provisions the required technology resources and deploys a highly tuned search index.
Elastic Cloud
A growing family of Elastic SaaS offerings that make it easy to deploy, operate, and scale Elastic products and solutions in the cloud. From an easy-to-use hosted and managed Elasticsearch experience to powerful, out-of-the-box search solutions.
ELK
It is the acronym for three open source projects: Elasticsearch, Logstash, and Kibana. Elasticsearch is a search and analytics engine. Logstash is a server‑side data processing pipeline that ingests data from multiple sources simultaneously, transforms it, and then sends it to a "stash" like Elasticsearch. Kibana lets users visualize data with charts and graphs in Elasticsearch.
Algolia
Our mission is to make you a search expert. Push data to our API to make it searchable in real time. Build your dream front end with one of our web or mobile UI libraries. Tune relevance and get analytics right from your dashboard.
Swiftype
Swiftype is the easiest way to add great search to your website or mobile application.
Interest over time
How much does Amazon Elasticsearch Service cost?
How much does Elasticsearch cost?
Pricing unavailable
News about Amazon Elasticsearch Service
Analyzing Amazon Elasticsearch Service Slow Logs Using Amazon CloudWatch Logs Streaming and Kibana
(aws.amazon.com)
Mar 1, 2018
Amazon Elasticsearch Service Now Supports the Seunjeon Plugin for Improved Korean Language Analysis
(aws.amazon.com)
Mar 14, 2018
Secure your Amazon Elasticsearch Service domain with Active Directory authentication and authorization
(aws.amazon.com)
Apr 17, 2018
Get started with Amazon Elasticsearch Service: an easy way to send AWS SigV4 signed requests
(aws.amazon.com)
Apr 19, 2018
Get started with Amazon Elasticsearch Service: Use Amazon Cognito for Kibana access control
(aws.amazon.com)
May 14, 2018
News about Elasticsearch
Collecting all the data your SIEM needs to keep up
(www.elastic.co)
about 8 hours ago
Ruby and Python clients for Elastic Enterprise Search now generally available
(www.elastic.co)
about 11 hours ago
Changes to the way you access the Elastic Support Portal
(www.elastic.co)
1 day ago
Be one of the first Elastic Certified Observability Engineers
(www.elastic.co)
1 day ago
Black History Month and beyond at Elastic
(www.elastic.co)
1 day ago