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Amazon CloudSearch

98
151
+ 1
26
Solr

774
641
+ 1
126
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Amazon CloudSearch vs Solr: What are the differences?

Key Differences between Amazon CloudSearch and Solr

Introduction

In this article, we will compare Amazon CloudSearch and Solr, two popular search platforms, and discuss the key differences between them.

  1. Ease of Setup and Configuration: Amazon CloudSearch is a fully managed service, which means that Amazon takes care of the infrastructure and maintenance, making it easier to set up and configure. On the other hand, Solr requires manual setup, configuration, and maintenance, which may require more technical expertise.

  2. Scalability and Availability: Amazon CloudSearch is designed to scale automatically based on the data and query load, providing high availability and performance out of the box. Solr requires manual configuration and infrastructure adjustments to achieve the desired scalability and availability.

  3. Data Management: While both Amazon CloudSearch and Solr handle structured and unstructured data, CloudSearch has limitations in terms of supported data types and limited text processing capabilities. Solr, being highly customizable, offers more flexibility in terms of data types, indexing options, and text analysis.

  4. Search Features: Amazon CloudSearch offers a simplified search functionality that covers most common search use cases. However, it may lack some advanced features found in Solr, such as facet counting, spell checking, highlighting, and more. Solr provides extensive search features and capabilities, making it suitable for complex search scenarios.

  5. Integration with Other AWS Services: Amazon CloudSearch seamlessly integrates with other AWS services such as Amazon S3 for data storage, Amazon RDS for database integration, and AWS Identity and Access Management for user authentication and authorization. Solr, being an open-source search platform, may require additional integration efforts to connect with different AWS services.

  6. Customization and Extensibility: Solr offers extensive customization options, allowing users to modify the behavior of the search engine, create custom indexing pipelines, and use various plug-ins and extensions. CloudSearch, on the other hand, has limited customization capabilities, providing a more simplified and managed approach to search.

In Summary, Amazon CloudSearch is a fully managed, scalable, and easy-to-set-up search service that provides basic search functionality, while Solr offers more advanced features, customization options, and flexibility at the cost of manual configuration and maintenance efforts.

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Pros of Amazon CloudSearch
Pros of Solr
  • 11
    Managed
  • 7
    Auto-Scaling
  • 5
    Compound Queries
  • 3
    Easy Setup
  • 35
    Powerful
  • 22
    Indexing and searching
  • 20
    Scalable
  • 19
    Customizable
  • 13
    Enterprise Ready
  • 5
    Restful
  • 5
    Apache Software Foundation
  • 4
    Great Search engine
  • 2
    Security built-in
  • 1
    Easy Operating

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What is 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.

What is 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.

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What companies use Amazon CloudSearch?
What companies use Solr?
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What tools integrate with Solr?

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What are some alternatives to Amazon CloudSearch and Solr?
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.
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).
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.
Lucene
Lucene Core, our flagship sub-project, provides Java-based indexing and search technology, as well as spellchecking, hit highlighting and advanced analysis/tokenization capabilities.
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.
See all alternatives