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MarkLogic

Stacks13

Followers17

+ 1

Votes23

Oracle

Stacks845

Followers612

+ 1

Votes81

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MarkLogic vs Oracle: What are the differences?

Developers describe MarkLogic as "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. On the other hand, Oracle is detailed as "An RDBMS that implements object-oriented features such as user-defined types, inheritance, and polymorphism". 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.

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

"RDF Triples" is the primary reason why developers consider MarkLogic over the competitors, whereas "Reliable" was stated as the key factor in picking Oracle.

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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 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.

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Why do developers choose MarkLogic?

Why do developers choose Oracle?

4
RDF Triples
3
REST API
3
JSON
3
JavaScript
3
Enterprise
3
Marklogic is absolutely stable and very fast
1
Multi-model DB

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37
Reliable
24
Enterprise
11
High Availability
3
Maintainable
2
Hard to maintain
2
Expensive
1
High complexity

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4
Expensive

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Jobs that mention MarkLogic and Oracle as a desired skillset

Web Engineer, Growth (Contract)

San Francisco, CA

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Web Engineer, Growth (Contract)

San Francisco, CA

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Software Engineer, Shopping Discovery

San Francisco

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Data Warehouse Architect

San Francisco, CA

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Data Warehouse Architect

San Francisco, CA

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Backend Engineer, Insights

Seattle, WA

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Backend Engineer, Insights

Seattle, WA

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Engineering Manager, Ads Product

San Francisco, CA

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+10

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What companies use MarkLogic?

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What tools integrate with MarkLogic?

What tools integrate with Oracle?

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What are some alternatives to MarkLogic and Oracle?

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.

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.

Hadoop

The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage.

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