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Learn MorePros of Algolia
Pros of Android Studio
Pros of Elasticsearch
Pros of Algolia
- Ultra fast126
- Super easy to implement95
- Modern search engine73
- Excellent support71
- Easy setup, fast and relevant70
- Typos handling46
- Search analytics40
- Designed to search records, not pages31
- Distributed Search Network30
- Multiple datacenters30
- Smart Highlighting10
- Search as you type9
- Multi-attributes8
- Instantsearch.js8
- Super fast, easy to set up6
- Database search5
- Amazing uptime5
- Realtime4
- Github-awesome-autocomple4
- Great documentation4
- Highly customizable4
- Beautiful UI3
- Powerful Search3
- Places.js3
- Awesome aanltiycs and typos hnadling2
- Integrates with just about everything2
- Developer-friendly frontend libraries1
- Ok to use1
- Fast response time1
- Github integration1
- Smooth platform1
- Fuck0
- Giitera0
- Is it fool0
- Nooo0
Pros of Android Studio
- Android studio is a great tool, getting better and bet176
- Google's official android ide103
- Intelligent code editor with lots of auto-completion37
- Its powerful and robust25
- Easy creating android app5
- Amazing Layout Designer3
- Great Code Tips3
- Great tool & very helpful3
- Easy to use2
- Built in Emulator2
- Keyboard Shortcuts are Amazing Out of the box2
Pros of Elasticsearch
- Powerful api327
- Great search engine315
- Open source230
- Restful214
- Near real-time search199
- Free97
- Search everything84
- Easy to get started54
- Analytics45
- Distributed26
- Fast search6
- More than a search engine5
- Highly Available3
- Awesome, great tool3
- Great docs3
- Easy to scale3
- Fast2
- Easy setup2
- Great customer support2
- Intuitive API2
- Great piece of software2
- Reliable2
- Potato2
- Nosql DB2
- Document Store2
- Not stable1
- Scalability1
- Open1
- Github1
- Elaticsearch1
- Actively developing1
- Responsive maintainers on GitHub1
- Ecosystem1
- Easy to get hot data1
- Community0
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Cons of Algolia
Cons of Android Studio
Cons of Elasticsearch
Cons of Algolia
- Expensive11
Cons of Android Studio
- Slow emulator4
- Huge memory usage4
- Using Intellij IDEA, while Intellij IDEA have too2
- Complex for begginers2
- No checking incompatibilities2
- Lags behind IntelliJ IDEA1
- Slow release process1
Cons of Elasticsearch
- Resource hungry7
- Diffecult to get started6
- Expensive5
- Hard to keep stable at large scale4
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What is 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.
What is Android Studio?
Android Studio is a new Android development environment based on IntelliJ IDEA. It provides new features and improvements over Eclipse ADT and will be the official Android IDE once it's ready.
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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What companies use Algolia?
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What companies use Elasticsearch?
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What tools integrate with Algolia?
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What are some alternatives to Algolia, Android Studio, and Elasticsearch?
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.
Swiftype
Swiftype is the easiest way to add great search to your website or mobile application.
Azure Search
Azure Search makes it easy to add powerful and sophisticated search capabilities to your website or application. Quickly and easily tune search results and construct rich, fine-tuned ranking models to tie search results to business goals. Reliable throughput and storage provide fast search indexing and querying to support time-sensitive search scenarios.
Klevu
It is an intelligent site search solution designed to help eCommerce businesses increase onsite sales and improve the customer online shopping experience.
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.