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Add to SafariWhen comparing MongoDB vs MarkLogic, the Slant community recommends MongoDB for most people. In the question“What are the best ACID-compliant scalable databases?” MongoDB is ranked 8th while MarkLogic is ranked 11th. The most important reason people chose MongoDB is:
Miles above other databases in educational resources.
Specs
Question Ranking
Pros
Pro Perfect documentation and tutorials
Miles above other databases in educational resources.
Pro Great speed
MongoDB queries can be very fast because the data is usually all in one place and can easily be retrieved in a single lookup. But this is true only when the data is truly a document. When it's trying to emulate a relational model it starts to become really slow because it may have to perform many independent queries to retrieve a single document.
Pro Uses JSON
As Node.js uses JavaScript there's no need to map the returned JSON data from MongoDB, as JavaScript is a superset of JSON. Essentially solving object-relational impedance mismatch by its very nature. Working with JSON is also easier overall as it more easily fits into how you would represent data on the client.
Pro Doesn't require a unified data structure
Mongo is very flexible in that it doesn't require a unified data structure across all objects. So it's rather easy to use.
Pro Easy to scale
MongoDB has powerful sharding and scaling capabilities for when the data stored in the database gets so large that a single machine may not be able to store all of it. Sharding solves this problem through horizontal scaling. Mongo gives developers the ability to easily and painlessly add or remove as many machines as needed.
Pro Search engine native
No other ACID database has even close to the text handling capabilities that are built-in to MarkLogic. Many multi-model databases rely on Lucene to provide text indexing, which leads to unnecessary latency and complexity.
Pro Massively scalable
Configuring MarkLogic for scale out is simple with both APIs and UI based mechanisms to add and manage cluster nodes that auto-shard and redistribute themselves for maximum efficiency.
Pro XML powerhouse
MarkLogic supports XML natively and adheres to all W3C standards surrounding XML. It even uses XQuery as a powerful application engine. Recent editions are also JSON native, which makes it fit in with modern JavaScript and web-centric applications.
Pro Uniquely offers full ACID transactions in a multi-model database
MarkLogic is the only Multi-model database in the world that is fully ACID and treats unstructured content as a first class citizen.
Cons
Con Reported to lose or corrupt data
MongoDB is famously known for leaking and losing data over time.
Con Document Stores may be not suited for relational data
MongoDB has no JOIN, all relations are supposed to be resolved client-size which entails additional requests to the server.
Con Need many search features
Though it is possible to index and search text in documents in MongoDB 4.0 in multiple languages. The indexing and search is not as powerful as for example Elastic Search. For instance not being able to search for only parts of words.
Con Enterprise focused
MarkLogic is more focused on the specific needs of enterprise customers who need ACID rigor and element level security. There are less costly options if eventual consistency and application-level security are good enough for you.
Con Proprietary
License is $18k/year
Con Too good to be true
If you are skeptical about product claims, MarkLogic may seem a bit too good to be true. MANY applications could benefit from implementing MarkLogic instead of creaky old RDBMS or immature NoSQL databases or even search engines like Lucene/Solr/Elastic.
