Elasticsearch vs MarkLogic: What are the differences?
Elasticsearch: Open Source, Distributed, RESTful Search Engine. 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); MarkLogic: Schema-agnostic Enterprise NoSQL database technology, coupled w/ powerful search & flexible application services. MarkLogic is the only Enterprise NoSQL database, bringing all the features you need into one unified system: a document-centric, schema-agnostic, structure-aware, clustered, transactional, secure, database server with built-in search and a full suite of application services.
Elasticsearch and MarkLogic are primarily classified as "Search as a Service" and "Databases" tools respectively.
Some of the features offered by Elasticsearch are:
- Distributed and Highly Available Search Engine.
- Multi Tenant with Multi Types.
- Various set of APIs including RESTful
On the other hand, MarkLogic provides the following key features:
- Search and Query
- ACID Transactions
- High Availability and Disaster Recovery
"Powerful api" is the top reason why over 310 developers like Elasticsearch, while over 3 developers mention "RDF Triples" as the leading cause for choosing MarkLogic.
Elasticsearch is an open source tool with 42.4K GitHub stars and 14.2K GitHub forks. Here's a link to Elasticsearch's open source repository on GitHub.
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