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Elasticsearch vs AddSearch: 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, AddSearch is detailed as "The almighty search platform for all your web content". We help your website visitors find what they are looking for. AddSearch is a lightning fast, accurate and customizable site search engine with a Search API. AddSearch works on all devices and is easy to install, customize and tweak.
Elasticsearch and AddSearch can be primarily classified as "Search as a Service" tools.
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, AddSearch provides the following key features:
- Manage Search Results - Guide website visitors to the pages that matter most
- Analyze Search Intent - Your website is your main asset. Uncover what your visitors are searching for
- AddSearch for All Platforms - We support any platform from legacy systems to state of the art Single Page Applications
Elasticsearch is an open source tool with 45K GitHub stars and 15.2K GitHub forks. Here's a link to Elasticsearch's open source repository on GitHub.
Pros of AddSearch
Pros of Elasticsearch
Pros of AddSearch
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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 AddSearch
Cons of Elasticsearch
Cons of AddSearch
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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 AddSearch?
We help your website visitors find what they are looking for. AddSearch is a lightning fast, accurate and customizable site search engine with a Search API. AddSearch works on all devices and is easy to install, customize and tweak.
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 AddSearch and Elasticsearch as a desired skillset
What companies use AddSearch?
What companies use Elasticsearch?
What companies use AddSearch?
What companies use Elasticsearch?
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What tools integrate with AddSearch?
What tools integrate with Elasticsearch?
What tools integrate with AddSearch?
What tools integrate with Elasticsearch?
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Blog Posts
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What are some alternatives to AddSearch and Elasticsearch?
Swiftype
Swiftype is the easiest way to add great search to your website or mobile application.
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.
Solr
Solr is the popular, blazing fast open source enterprise search platform from the Apache Lucene project. Its major features include powerful full-text search, hit highlighting, faceted search, near real-time indexing, dynamic clustering, database integration, rich document (e.g., Word, PDF) handling, and geospatial search. Solr is highly reliable, scalable and fault tolerant, providing distributed indexing, replication and load-balanced querying, automated failover and recovery, centralized configuration and more. Solr powers the search and navigation features of many of the world's largest internet sites.
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.
Sphinx
It lets you either batch index and search data stored in an SQL database, NoSQL storage, or just files quickly and easily — or index and search data on the fly, working with it pretty much as with a database server.
Interest over time
How much does AddSearch cost?
How much does Elasticsearch cost?
News about AddSearch
More newsNews about Elasticsearch
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