Elasticsearch vs Stack Overflow: What are the differences?
Developers describe Elasticsearch 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). On the other hand, Stack Overflow is detailed as "Question and answer site for professional and enthusiast programmers". Stack Overflow is a question and answer site for professional and enthusiast programmers. It's built and run by you as part of the Stack Exchange network of Q&A sites. With your help, we're working together to build a library of detailed answers to every question about programming.
Elasticsearch and Stack Overflow are primarily classified as "Search as a Service" and "Question and Answer Sites" tools respectively.
Some of the features offered by Elasticsearch are:
- Distributed and Highly Available Search Engine.
- Multi Tenant with Multi Types.
- Various set of APIs including RESTful
On the other hand, Stack Overflow provides the following key features:
- Ask questions, get answers, no distractions
- Get answers to practical, detailed questions
- Tags make it easy to find interesting questions
"Powerful api", "Great search engine" and "Open source" are the key factors why developers consider Elasticsearch; whereas "Scary smart community", "Knows all" and "Voting system" are the primary reasons why Stack Overflow is favored.
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.
Uber Technologies, Instacart, and Slack are some of the popular companies that use Elasticsearch, whereas Stack Overflow is used by CircleCI, Intuit, and OpenGov. Elasticsearch has a broader approval, being mentioned in 2000 company stacks & 976 developers stacks; compared to Stack Overflow, which is listed in 767 company stacks and 1634 developer stacks.
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