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Amazon Neptune vs Graph Story

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Amazon Neptune
61
174
+ 1
15
Graph Story
3
19
+ 1
23
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Amazon Neptune vs Graph Story: What are the differences?

What is Amazon Neptune? Fast, reliable graph database built for the cloud. 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 Graph Story? Get your graph-backed application up & running within minutes. Graph Story offers fully-managed, fast, secure and affordable access to graph databases-as-a-service and makes them even easier to use through our customized API.

Amazon Neptune and Graph Story belong to "Graph Database as a Service" category of the tech stack.

Some of the features offered by Amazon Neptune are:

  • High performance and scalability
  • High availability and durability
  • Open Graph APIs

On the other hand, Graph Story provides the following key features:

  • Free developer tier
  • Geospatial support
  • multi-language support
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Pros of Amazon Neptune
Pros of Graph Story
  • 3
    Managed Service in AWS
  • 3
    High Performance
  • 2
    Easy to Use
  • 2
    Support for RDF
  • 2
    Support for SPARQL
  • 1
    W3C Standards Compliantr
  • 1
    Scalable
  • 1
    ACID Compliant
  • 3
    Professional Services
  • 3
    Ease of use
  • 3
    Fanatical support
  • 2
    Highly scalable
  • 2
    Fast
  • 2
    SSD
  • 2
    High Performance
  • 2
    Enterprise Neo4j
  • 2
    Affordable
  • 1
    Support team
  • 1
    Easy setup, pre configuration, awesome support

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Cons of Amazon Neptune
Cons of Graph Story
  • 1
    No UI to see graph
    Be the first to leave a con

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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 Graph Story?

    Graph Story offers fully-managed, fast, secure and affordable access to graph databases-as-a-service and makes them even easier to use through our customized API.

    Need advice about which tool to choose?Ask the StackShare community!

    What companies use Amazon Neptune?
    What companies use Graph Story?
      No companies found
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      What tools integrate with Amazon Neptune?
      What tools integrate with Graph Story?

      Sign up to get full access to all the tool integrationsMake informed product decisions

      What are some alternatives to Amazon Neptune and Graph Story?
      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.
      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.
      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.
      See all alternatives

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