Amazon CloudSearch vs SearchStax

The primary differentiator of CloudSearch is how simple it makes the lives of the developers using it. Not only does it automatically scale, developers can change search parameters, fine tune search relevance, and apply new settings at any time without having to upload the data again and can do so from a simple dashboard.

CloudSearch also automatically takes care of:

• Hardware provisioning
• Data partitioning,
• Software patches.

CloudSearch dynamically scales as the amount of searchable data increases or as the query rate changes. The search system utilizes well-understood and automated sharding and replication to scale.

CloudSearch will automatically add search instances and index partitions as required as well as add and remove replicas to respond to changes in search request traffic.

CloudSearch lets you add the the following features:

• Faceted search
• Free text search
• Boolean search expressions
• Customized relevance ranking
• Field-based sorting and searching
• Text processing options such as stopwords, synonyms, and stemming.

CloudSearch does out-of-the-box ranking of search results with simple controls to let developers tweak the ranking. You can add stopwords, perform stemming, and add synonyms.

Provides real-time feedback and insights to developers.

Gain full performance by utilizing VM offerings of underlying cloud providers.

Developers can setup their environment using automation with client of a few buttons.

All VM compute, memory, and SSD resources are dedicated to my application unlike others.

Can utilize private clouds within public clouds e.g. can leverage private clouds on Microsoft Azure via VNet and VNet Peering for higher security and performance.