MarkLogic vs Neo4j

Overview

Neo4j

Stacks1.2K

Followers1.4K

Votes351

GitHub Stars15.3K

Forks2.5K

MarkLogic

Stacks43

Followers71

Votes26

MarkLogic vs Neo4j: What are the differences?

Introduction

MarkLogic and Neo4j are both popular database management systems but have distinct differences. Understanding these differences is crucial to choose the appropriate system for a specific use case. Below are the key differences between MarkLogic and Neo4j.

Data Model: MarkLogic is a document-oriented database that stores data in the form of JSON or XML documents. It provides rich indexing and search capabilities, enabling fast retrieval of documents based on their content. On the other hand, Neo4j is a graph database that represents data as nodes, relationships, and properties. It excels in modeling complex relationships between entities and supports efficient traversal of the graph structure.
Query Language: MarkLogic uses XQuery and JavaScript as its primary query languages. XQuery is a powerful language for querying structured data, while JavaScript is more suitable for unstructured data processing. Neo4j, on the other hand, utilizes the Cypher query language, specifically designed for graph traversal and pattern matching. Cypher allows for expressive querying of graph structures and makes it easier to work with connected data.
Scalability: MarkLogic is designed to support high scalability and horizontal scaling through its shared-nothing architecture. It can distribute data and workload across multiple nodes, ensuring high availability and fault tolerance. Neo4j also supports horizontal scaling, but it is primarily optimized for smaller to medium-sized datasets. Neo4j's strength lies in its ability to handle highly connected data and complex graph traversals efficiently.
Use Cases: MarkLogic is commonly used in applications that require flexible and rich data modeling, along with robust searching and indexing capabilities. It is suitable for scenarios where unstructured and structured data coexist and need to be seamlessly integrated. Neo4j, on the other hand, excels in use cases involving network analysis, recommendation engines, social networks, and any scenario that heavily relies on graph-like relationships and connected data.
ACID Compliance: MarkLogic provides ACID (Atomicity, Consistency, Isolation, Durability) compliance out of the box. This ensures data integrity and consistency, making it suitable for applications with strict data integrity requirements, such as financial systems. Neo4j, being a graph database, does not provide full ACID compliance by default. Instead, it offers eventual consistency, which is typically sufficient for most graph-based use cases but might not be suitable for applications requiring strong transactional guarantees.
Community and Ecosystem: MarkLogic has been around for many years and has a well-established community and ecosystem. It offers a wealth of third-party integrations, connectors, and development tools. Neo4j also has a growing community and ecosystem, but it might not be as mature as MarkLogic's. However, Neo4j has gained popularity in recent years and has its own set of integrations and tools.

In summary, MarkLogic is a document-oriented database with rich indexing capabilities, using XQuery and JavaScript as query languages. It excels in flexible data modeling and powerful search capabilities. Neo4j, on the other hand, is a graph database primarily focused on efficient graph traversal and pattern matching, with the Cypher query language. It is well-suited for applications requiring network analysis and heavily connected data.

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Advice on Neo4j, MarkLogic

Jaime

none at none

Aug 31, 2020

Needs advice

Hi, I want to create a social network for students, and I was wondering which of these three Oriented Graph DB's would you recommend. I plan to implement machine learning algorithms such as k-means and others to give recommendations and some basic data analyses; also, everything is going to be hosted in the cloud, so I expect the DB to be hosted there. I want the queries to be as fast as possible, and I like good tools to monitor my data. I would appreciate any recommendations or thoughts.

Context:

I released the MVP 6 months ago and got almost 600 users just from my university in Colombia, But now I want to expand it all over my country. I am expecting more or less 20000 users.

56.4k views56.4k

Comments

Detailed Comparison

Neo4j	MarkLogic
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.	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.
intuitive, using a graph model for data representation;reliable, with full ACID transactions;durable and fast, using a custom disk-based, native storage engine;massively scalable, up to several billion nodes/relationships/properties;highly-available, when distributed across multiple machines;expressive, with a powerful, human readable graph query language;fast, with a powerful traversal framework for high-speed graph queries;embeddable, with a few small jars;simple, accessible by a convenient REST interface or an object-oriented Java API	Search and Query;ACID Transactions;High Availability and Disaster Recovery;Replication;Government-grade Security;Scalability and Elasticity;On-premise or Cloud Deployment;Hadoop for Storage and Compute;Semantics;Faster Time-to-Results
Statistics
GitHub Stars 15.3K	GitHub Stars -
GitHub Forks 2.5K	GitHub Forks -
Stacks 1.2K	Stacks 43
Followers 1.4K	Followers 71
Votes 351	Votes 26
Pros & Cons
Pros 69 Cypher – graph query language 61 Great graphdb 33 Open source 31 Rest api 27 High-Performance Native API Cons 9 Comparably slow 4 Can't store a vertex as JSON 1 Doesn't have a managed cloud service at low cost	Pros 5 RDF Triples 3 JSON 3 Marklogic is absolutely stable and very fast 3 REST API 3 JavaScript

What are some alternatives to Neo4j, MarkLogic?

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.

MySQL

The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.

PostgreSQL

PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.

Microsoft SQL Server

Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.

SQLite

SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.

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.

Memcached

Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.

MariaDB

Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance.

RethinkDB

RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn.

ArangoDB

A distributed free and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.

Related Comparisons

MarkLogic vs Neo4j: What are the differences?

Introduction

Data Model: MarkLogic is a document-oriented database that stores data in the form of JSON or XML documents. It provides rich indexing and search capabilities, enabling fast retrieval of documents based on their content. On the other hand, Neo4j is a graph database that represents data as nodes, relationships, and properties. It excels in modeling complex relationships between entities and supports efficient traversal of the graph structure.
Query Language: MarkLogic uses XQuery and JavaScript as its primary query languages. XQuery is a powerful language for querying structured data, while JavaScript is more suitable for unstructured data processing. Neo4j, on the other hand, utilizes the Cypher query language, specifically designed for graph traversal and pattern matching. Cypher allows for expressive querying of graph structures and makes it easier to work with connected data.
Scalability: MarkLogic is designed to support high scalability and horizontal scaling through its shared-nothing architecture. It can distribute data and workload across multiple nodes, ensuring high availability and fault tolerance. Neo4j also supports horizontal scaling, but it is primarily optimized for smaller to medium-sized datasets. Neo4j's strength lies in its ability to handle highly connected data and complex graph traversals efficiently.
Use Cases: MarkLogic is commonly used in applications that require flexible and rich data modeling, along with robust searching and indexing capabilities. It is suitable for scenarios where unstructured and structured data coexist and need to be seamlessly integrated. Neo4j, on the other hand, excels in use cases involving network analysis, recommendation engines, social networks, and any scenario that heavily relies on graph-like relationships and connected data.
ACID Compliance: MarkLogic provides ACID (Atomicity, Consistency, Isolation, Durability) compliance out of the box. This ensures data integrity and consistency, making it suitable for applications with strict data integrity requirements, such as financial systems. Neo4j, being a graph database, does not provide full ACID compliance by default. Instead, it offers eventual consistency, which is typically sufficient for most graph-based use cases but might not be suitable for applications requiring strong transactional guarantees.
Community and Ecosystem: MarkLogic has been around for many years and has a well-established community and ecosystem. It offers a wealth of third-party integrations, connectors, and development tools. Neo4j also has a growing community and ecosystem, but it might not be as mature as MarkLogic's. However, Neo4j has gained popularity in recent years and has its own set of integrations and tools.

MarkLogic vs Neo4j

Overview