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Graph Story vs GrapheneDB

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Graph Story
3
19
+ 1
23
GrapheneDB
14
27
+ 1
0
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GrapheneDB vs Graph Story: What are the differences?

Developers describe GrapheneDB as "Cloud-hosted Neo4j Graph Databases as a Service". With automated backups, lightning-fast provisioning, 24x7 monitoring, and best-in-class support. Available on AWS, Azure and Heroku. On the other hand, Graph Story is detailed as "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.

GrapheneDB and Graph Story can be primarily classified as "Graph Database as a Service" tools.

Some of the features offered by GrapheneDB are:

  • Cloud scaling
  • Available in all major providers
  • 24x7 monitoring

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 Graph Story
Pros of GrapheneDB
  • 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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    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.

    What is GrapheneDB?

    With automated backups, lightning-fast provisioning, 24x7 monitoring, and best-in-class support. Available on AWS, Azure and Heroku.

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

    What companies use Graph Story?
    What companies use GrapheneDB?
      No companies found
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      What tools integrate with Graph Story?
      What tools integrate with GrapheneDB?

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      What are some alternatives to Graph Story and GrapheneDB?
      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.
      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.
      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

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