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Neptune

9
25
+ 1
2
StackStorm

69
145
+ 1
28
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Pros of Neptune
Pros of StackStorm
  • 1
    Aws managed services
  • 1
    Supports both gremlin and openCypher query languages
  • 5
    Auto-remediation
  • 5
    Integrations
  • 4
    Complex workflows
  • 4
    Automation
  • 3
    Open source
  • 2
    ChatOps
  • 2
    Python
  • 1
    Extensibility
  • 1
    Beautiful UI
  • 1
    Slack

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Cons of Neptune
Cons of StackStorm
  • 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
  • 2
    Complexity

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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.

What is StackStorm?

StackStorm is a platform for integration and automation across services and tools. It ties together your existing infrastructure and application environment so you can more easily automate that environment -- with a particular focus on taking actions in response to events.

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

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    What are some alternatives to Neptune and StackStorm?
    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.
    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.
    Saturn
    It is a web development framework written in F# which implements the server-side MVC pattern. Many of its components and concepts will seem familiar to anyone with experience in other web frameworks like Ruby on Rails or Python’s Django.
    TensorFlow
    TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
    PyTorch
    PyTorch is not a Python binding into a monolothic C++ framework. It is built to be deeply integrated into Python. You can use it naturally like you would use numpy / scipy / scikit-learn etc.
    See all alternatives