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Amazon Neptune

59
169
+ 1
15
OrientDB

77
107
+ 1
14
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Pros of Amazon Neptune
Pros of OrientDB
  • 3
    Managed Service in AWS
  • 3
    High Performance
  • 2
    Support for RDF
  • 2
    Support for SPARQL
  • 2
    Easy to Use
  • 1
    W3C Standards Compliantr
  • 1
    ACID Compliant
  • 1
    Scalable
  • 4
    Great graphdb
  • 2
    Great support
  • 2
    Open source
  • 1
    Multi-Model/Paradigm
  • 1
    ACID
  • 1
    Highly-available
  • 1
    Performance
  • 1
    Embeddable
  • 1
    Rest api

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Cons of Amazon Neptune
Cons of OrientDB
  • 1
    No UI to see graph
  • 4
    Unstable

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What is Amazon Neptune?

Amazon Neptune is a fast, reliable, fully-managed graph database service that makes it easy to build and run applications that work with highly connected datasets. The core of Amazon Neptune is a purpose-built, high-performance graph database engine optimized for storing billions of relationships and querying the graph with milliseconds latency.

What is 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.

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What companies use Amazon Neptune?
What companies use OrientDB?
See which teams inside your own company are using Amazon Neptune or OrientDB.
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What tools integrate with Amazon Neptune?
What tools integrate with OrientDB?
    No integrations found

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    What are some alternatives to Amazon Neptune and OrientDB?
    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.
    GraphQL
    GraphQL is a data query language and runtime designed and used at Facebook to request and deliver data to mobile and web apps since 2012.
    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.
    Dgraph
    Dgraph's goal is to provide Google production level scale and throughput, with low enough latency to be serving real time user queries, over terabytes of structured data. Dgraph supports GraphQL-like query syntax, and responds in JSON and Protocol Buffers over GRPC and HTTP.
    TigerGraph DB
    It is the only scalable graph database for the enterprise which is based on the industry’s first Native and Parallel Graph technology. It unleashes the power of interconnected data, offering organizations deeper insights and better outcomes. It’s proven technology supports applications such as IoT, AI and machine learning to make sense of ever-changing big data.
    See all alternatives