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MarkLogic

32
44
+ 1
26
WatermelonDB

9
87
+ 1
1
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MarkLogic vs WatermelonDB: What are the differences?

What is 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.

What is WatermelonDB? 🍉 Next-gen database for powerful React and React Native apps that scales to 10,000s of records and remains fast ⚡️. WatermelonDB is a new way of dealing with user data in React Native and React web apps. It's optimized for building complex applications in React Native, and the number one goal is real-world performance. In simple words, your app must launch fast.

MarkLogic and WatermelonDB can be primarily classified as "Databases" tools.

WatermelonDB is an open source tool with 5.64K GitHub stars and 229 GitHub forks. Here's a link to WatermelonDB's open source repository on GitHub.

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Pros of MarkLogic
Pros of WatermelonDB
  • 5
    RDF Triples
  • 3
    JavaScript
  • 3
    Enterprise
  • 3
    Marklogic is absolutely stable and very fast
  • 3
    REST API
  • 3
    JSON
  • 2
    Semantics
  • 2
    Multi-model DB
  • 1
    Bitemporal
  • 1
    Tiered Storage
  • 1
    Undefined is not an object (evaluating 'columnSchema.ty

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- No public GitHub repository available -

What is MarkLogic?

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.

What is WatermelonDB?

WatermelonDB is a new way of dealing with user data in React Native and React web apps. It's optimized for building complex applications in React Native, and the number one goal is real-world performance. In simple words, your app must launch fast.

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What companies use MarkLogic?
What companies use WatermelonDB?
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    What tools integrate with MarkLogic?
    What tools integrate with WatermelonDB?

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    What are some alternatives to MarkLogic and WatermelonDB?
    MongoDB
    MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
    Neo4j
    Neo4j stores data in nodes connected by directed, typed relationships with properties on both, also known as a Property Graph. It is a high performance graph store with all the features expected of a mature and robust database, like a friendly query language and ACID transactions.
    Oracle
    Oracle Database is an RDBMS. An RDBMS that implements object-oriented features such as user-defined types, inheritance, and polymorphism is called an object-relational database management system (ORDBMS). Oracle Database has extended the relational model to an object-relational model, making it possible to store complex business models in a relational database.
    Cassandra
    Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.
    HBase
    Apache HBase is an open-source, distributed, versioned, column-oriented store modeled after Google' Bigtable: A Distributed Storage System for Structured Data by Chang et al. Just as Bigtable leverages the distributed data storage provided by the Google File System, HBase provides Bigtable-like capabilities on top of Apache Hadoop.
    See all alternatives