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Learn MorePros of Amazon Neptune
Pros of OrientDB
Pros of Amazon Neptune
- Managed Service in AWS3
- High Performance3
- Easy to Use2
- Support for RDF2
- Support for SPARQL2
- W3C Standards Compliantr1
- Scalable1
- ACID Compliant1
Pros of OrientDB
- Great graphdb4
- Great support2
- Open source2
- Multi-Model/Paradigm1
- ACID1
- Highly-available1
- Performance1
- Embeddable1
- Rest api1
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Cons of Amazon Neptune
Cons of OrientDB
Cons of Amazon Neptune
- No UI to see graph1
Cons of OrientDB
- Unstable4
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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 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.
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What companies use Amazon Neptune?
What companies use OrientDB?
What companies use Amazon Neptune?
What companies use OrientDB?
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What tools integrate with Amazon Neptune?
What tools integrate with OrientDB?
What tools integrate with Amazon Neptune?
What tools integrate with OrientDB?
No integrations found
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What are some alternatives to Amazon Neptune and OrientDB?
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.
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.
MySQL
The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.