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Learn MorePros of Amazon Neptune
Pros of Graph Story
Pros of GrapheneDB
Pros of Amazon Neptune
- Managed Service in AWS3
- High Performance3
- Support for RDF2
- Support for SPARQL2
- Easy to Use2
- W3C Standards Compliantr1
- ACID Compliant1
- Scalable1
Pros of Graph Story
- Professional Services3
- Ease of use3
- Fanatical support3
- Highly scalable2
- Fast2
- SSD2
- High Performance2
- Enterprise Neo4j2
- Affordable2
- Support team1
- Easy setup, pre configuration, awesome support1
Pros of GrapheneDB
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Cons of Amazon Neptune
Cons of Graph Story
Cons of GrapheneDB
Cons of Amazon Neptune
- No UI to see graph1
Cons of Graph Story
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Cons of GrapheneDB
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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.
What is GrapheneDB?
With automated backups, lightning-fast provisioning, 24x7 monitoring, and best-in-class support. Available on AWS, Azure and Heroku.
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What companies use Amazon Neptune?
What companies use Graph Story?
What companies use GrapheneDB?
What companies use Amazon Neptune?
What companies use Graph Story?
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What companies use GrapheneDB?
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What tools integrate with Amazon Neptune?
What tools integrate with Graph Story?
What tools integrate with GrapheneDB?
What tools integrate with Amazon Neptune?
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What tools integrate with GrapheneDB?
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What are some alternatives to Amazon Neptune, 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.
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.