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Neo4j

1.1K
1.2K
+ 1
353
Neptune

11
29
+ 1
2
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Pros of Neo4j
Pros of Neptune
  • 70
    Cypher – graph query language
  • 61
    Great graphdb
  • 33
    Open source
  • 31
    Rest api
  • 27
    High-Performance Native API
  • 24
    ACID
  • 21
    Easy setup
  • 17
    Great support
  • 11
    Clustering
  • 9
    Hot Backups
  • 8
    Great Web Admin UI
  • 7
    Mature
  • 7
    Powerful, flexible data model
  • 6
    Embeddable
  • 5
    Easy to Use and Model
  • 4
    Best Graphdb
  • 4
    Highly-available
  • 2
    Great onboarding process
  • 2
    It's awesome, I wanted to try it
  • 2
    Used by Crunchbase
  • 2
    Great query language and built in data browser
  • 1
    Aws managed services
  • 1
    Supports both gremlin and openCypher query languages

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Cons of Neo4j
Cons of Neptune
  • 5
    Comparably slow
  • 4
    Can't store a vertex as JSON
  • 1
    Doesn't have a managed cloud service at low cost
  • 1
    Doesn't have much support for openCypher clients
  • 1
    Doesn't have proper clients for different lanuages
  • 1
    Doesn't have much community support

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What is 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.

What is Neptune?

It brings organization and collaboration to data science projects. All the experiement-related objects are backed-up and organized ready to be analyzed, reproduced and shared with others. Works with all common technologies and integrates with other tools.

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What companies use Neo4j?
What companies use Neptune?
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    What tools integrate with Neo4j?
    What tools integrate with Neptune?

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    What are some alternatives to Neo4j and Neptune?
    Titan
    Titan is a scalable graph database optimized for storing and querying graphs containing hundreds of billions of vertices and edges distributed across a multi-machine cluster. Titan is a transactional database that can support thousands of concurrent users executing complex graph traversals in real time.
    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.
    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.
    OrientDB
    It is an open source NoSQL database management system written in Java. It is a Multi-model database, supporting graph, document, key/value, and object models, but the relationships are managed as in graph databases with direct connections between records.
    JanusGraph
    It is a scalable graph database optimized for storing and querying graphs containing hundreds of billions of vertices and edges distributed across a multi-machine cluster. It is a transactional database that can support thousands of concurrent users executing complex graph traversals in real time.
    See all alternatives