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System ElasticSearch MarkLogic
 Name ElasticSearch MarkLogic
 Version Version 6.4.1 (released in September 2018) 9.0 (released 2017)
 Drawbacks Elasticsearch AMI not available Does not have a cloud based option
 Advantages Large number of drivers present for integration Multi-Model Database
 Languages Supported .Net Groovy Java JavaScript Perl PHP Python Ruby .net, C#, Javascript
 Website www.elastic.co/­products/­elasticsearch www.marklogic.com
 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. The MarkLogic product is considered a multi-model NoSQL database for its ability to store, manage, and search JSON and XML documents and semantic data (RDF triples).
 Database Model Key Value NoSQL Model Key Value DB
 Technical Documentation www.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.html docs.marklogic.com
 License Open Source. Commercial version with HA available with redislabs.com commercial on azure cloud.
 Cloud-based / SaaS ElasticSearch Cloud Cluster available from ElasticSearch No (Big Drawback)
 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 , MongoDB drivers
 Consistency Highly Consistent Immediate consistency
 Foreign Keys No No
 Streaming Support Yes No
 Analytics Support NA NA
 Data Storage Schema Inverted Index Multi Model Database
 Notable Users -- Chevron, JPMorgan Chase, Erie Insurance Group, Johnson & Johnson, and the US Army
 Key Differentiator No known Enterprise Competitor apart from Amazaon Cloud Search True Multi Model database which can be used as key value, document and RDF store
 Concurrency Yes Yes
 Partitioning Yes Sharding
 Replication Yes Multi Data Center Replication supported
 Secondary Indexes Yes Yes
 SchemaLess Yes Yes
 SQL Query No --