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Learn MorePros of Amazon Elasticsearch Service
Pros of Elasticsearch
Pros of Found Elasticsearch
Pros of Amazon Elasticsearch Service
- Easy setup, monitoring and scaling10
- Kibana7
- Document-oriented7
Pros of Elasticsearch
- Powerful api328
- Great search engine315
- Open source231
- Restful214
- Near real-time search200
- Free98
- Search everything85
- Easy to get started54
- Analytics45
- Distributed26
- Fast search6
- More than a search engine5
- Great docs4
- Awesome, great tool4
- Highly Available3
- Easy to scale3
- Potato2
- Document Store2
- Great customer support2
- Intuitive API2
- Nosql DB2
- Great piece of software2
- Reliable2
- Fast2
- Easy setup2
- Open1
- Easy to get hot data1
- Github1
- Elaticsearch1
- Actively developing1
- Responsive maintainers on GitHub1
- Ecosystem1
- Not stable1
- Scalability1
- Community0
Pros of Found Elasticsearch
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Cons of Amazon Elasticsearch Service
Cons of Elasticsearch
Cons of Found Elasticsearch
Cons of Amazon Elasticsearch Service
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Cons of Elasticsearch
- Resource hungry7
- Diffecult to get started6
- Expensive5
- Hard to keep stable at large scale4
Cons of Found Elasticsearch
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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).
What is Found Elasticsearch?
Create your own fully managed and hosted Elasticsearch cluster. You get a dedicated cluster with reserved memory, giving you predictable performance. There are no arbitrary limits on how many indexes or documents you can store. Scale your clusters as and when needed, without any downtime.
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What companies use Amazon Elasticsearch Service?
What companies use Elasticsearch?
What companies use Found Elasticsearch?
What companies use Amazon Elasticsearch Service?
What companies use Elasticsearch?
What companies use Found Elasticsearch?
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What tools integrate with Amazon Elasticsearch Service?
What tools integrate with Elasticsearch?
What tools integrate with Found Elasticsearch?
What tools integrate with Amazon Elasticsearch Service?
What tools integrate with Found Elasticsearch?
No integrations found
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What are some alternatives to Amazon Elasticsearch Service, Elasticsearch, and Found 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.
JavaScript
JavaScript is most known as the scripting language for Web pages, but used in many non-browser environments as well such as node.js or Apache CouchDB. It is a prototype-based, multi-paradigm scripting language that is dynamic,and supports object-oriented, imperative, and functional programming styles.
Git
Git is a free and open source distributed version control system designed to handle everything from small to very large projects with speed and efficiency.