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


+ 1

+ 1
Add tool
Get Advice from developers at your company using Private StackShare. Sign up for Private StackShare.
Learn More
Pros of Neptune
Pros of StackStorm
  • 1
    Aws managed services
  • 1
    Supports both gremlin and openCypher query languages
  • 5
  • 5
  • 4
    Complex workflows
  • 4
  • 3
    Open source
  • 2
  • 2
  • 1
  • 1
    Beautiful UI
  • 1

Sign up to add or upvote prosMake informed product decisions

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

Sign up to add or upvote consMake informed product decisions

- No public GitHub repository available -

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.

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

What companies use Neptune?
What companies use StackStorm?
    No companies found
    See which teams inside your own company are using Neptune or StackStorm.
    Sign up for Private StackShareLearn More

    Sign up to get full access to all the companiesMake informed product decisions

    What tools integrate with Neptune?
    What tools integrate with StackStorm?

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

    What are some alternatives to Neptune and StackStorm?
    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'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.
    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 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 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