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System ElasticSearch AWS DynamoDB
 Name ElasticSearch Amazon DynamoDB
 Version Version 6.4.1 (released in September 2018) released Jan 2012
 Drawbacks Elasticsearch AMI not available Very few features when compared to other key-value stores
 Advantages Large number of drivers present for integration Managed Database Service provided by a leading cloud provider
 Languages Supported .Net Groovy Java JavaScript Perl PHP Python Ruby Java, Node.js, Go, C# .NET, Perl, PHP, Python, Ruby, Haskell and Erlang.
 Website www.elastic.co/­products/­elasticsearch aws.amazon.com/­dynamodb
 XML Support no no
 JSON Support yes yes
 Brief description Elasticsearch is a search engine based on Lucene. It provides a distributed, multitenant-capable full-text search engine with an HTTP web interface and schema-free JSON documents. Amazon DynamoDB is a fully managed proprietary NoSQL database service that supports key-value and document data structures[2] and is offered by Amazon.com as part of the Amazon Web Services portfolio
 Database Model Key Value NoSQL Model Key Value Model
 Technical Documentation www.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.html aws.amazon.com/­documentation/­dynamodb
 License Open Source. Commercial version with HA available with redislabs.com commercial on aws cloud.
 Cloud-based / SaaS ElasticSearch Cloud Cluster available from ElasticSearch Yes but you can download dynamod db locally as well. Local installation does not have vendor support
 Implementation Language C,C++ C++
 Operating System Supported Linux OS X Solaris Windows Linux , OS X, Windows
 Options for Integration / Access API Proprietary protocol using JSON Rest API
 Consistency Highly Consistent Immediate consistency
 Foreign Keys No No
 Streaming Support Yes No
 Analytics Support NA NA
 Data Storage Schema Inverted Index Key Value Model
 Notable Users -- As per Amazon the solution has been deployed by around 100,000 customers
 Key Differentiator No known Enterprise Competitor apart from Amazaon Cloud Search Amazon allows developers to purchase a service based on throughput, rather than storage.
 Concurrency Yes Yes
 Partitioning Yes Sharding
 Replication Yes Multi Data Center Replication supported
 Secondary Indexes Yes Yes
 SchemaLess Yes Yes
 SQL Query No No