Software Alternatives & Reviews

Amazon Neptune VS Apache TinkerPop

Compare Amazon Neptune VS Apache TinkerPop and see what are their differences

Amazon Neptune logo Amazon Neptune

Amazon Neptune is a fully managed graph database service that works with highly connected datasets. Learn about the benefits and popular use cases.

Apache TinkerPop logo Apache TinkerPop

Apache TinkerPop is a graph computing framework for both graph databases (OLTP) and graph analytic systems (OLAP).
  • Amazon Neptune Landing page
    Landing page //
    2023-04-04
  • Apache TinkerPop Landing page
    Landing page //
    2022-01-24

Amazon Neptune videos

AWS re:Invent 2019: Deep dive on Amazon Neptune (DAT361)

More videos:

  • Review - Fighting fraud with Amazon Neptune and KeyLines

Apache TinkerPop videos

No Apache TinkerPop videos yet. You could help us improve this page by suggesting one.

+ Add video

Category Popularity

0-100% (relative to Amazon Neptune and Apache TinkerPop)
Databases
69 69%
31% 31
NoSQL Databases
65 65%
35% 35
Graph Databases
66 66%
34% 34
Big Data
62 62%
38% 38

User comments

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Social recommendations and mentions

Based on our record, Amazon Neptune should be more popular than Apache TinkerPop. It has been mentiond 10 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Amazon Neptune mentions (10)

  • GenAI-Powered Digital Threads - AI Security Under the Hood, Part II
    This technical example was built upon an AWS AI service suite to test its capabilities, and it was pretty impressive, with minimal learning curve for the AI enthusiast. This example leverages Neptune as the graph database, Bedrock’s Claude v3 for our GenAI model and LLM, along with out-of-the-box security notebooks, to populate the data. This coupled with excellent docs and some tinkering helped wire the example... - Source: dev.to / about 1 month ago
  • Choosing the Right AWS Database: A Guide for Modern Applications
    Graph databases are designed to store and process highly connected data, such as social networks, recommendation engines, and fraud detection systems. AWS offers a fully managed graph database service called Amazon Neptune that can handle graph data at scale. - Source: dev.to / 7 months ago
  • Anyone else find the lack of persistence frustrating?
    My understanding is that a shard is the full set of services that are needed to support at least one game server, and so it isn't a shard that crashes, it's (usually) a "dynamic" game server (DGS) ( which there's currently only one of per shard until they build out the ~~replication layer~~ (Atlas service? https://sc-server-meshing.info/), so it feels an awful lot like the whole shard crashed )... But the DGS... Source: 10 months ago
  • What is the best database to use in this usecase?
    I know an alternative to regular SQL relational and noSQL databases is graph databases like Neo4j and Amazon Neptune. I don't know if it's relevant to you but you might want to check out https://en.m.wikipedia.org/wiki/Neo4j or https://aws.amazon.com/neptune/. Source: 11 months ago
  • Graph Databases vs Relational Databases: What and why?
    First, you need to choose a specific graph database platform to work with, such as Neo4j, OrientDB, JanusGraph, Arangodb or Amazon Neptune. Once you have selected a platform, you can then start working with graph data using the platform's query language. - Source: dev.to / about 1 year ago
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Apache TinkerPop mentions (4)

  • Setup Azure Cosmos DB for Gremlin in Spring Boot Java
    The API for Gremlin is built based on Apache TinkerPop, a graph computing framework that uses the Gremlin query language. - Source: dev.to / 9 days ago
  • Testcontainers
    You might take a look at Tinkerpop: https://tinkerpop.apache.org/. - Source: Hacker News / 2 months ago
  • Getting Started with Redis and RedisGraph
    Property Graph, mainly represented as node and relationship in which they can have properties. The database for this kind of data is usually called Graph Database. Gremlin - by TinkerPop project and Cypher - by Neo4J are their query language (also AQL - Arango Query Language - by ArangoDB, but AQL does not only provides graph query language). - Source: dev.to / over 2 years ago
  • Should You Invent a New Query Language? (Probably Not)
    The most common graph query language at the moment would be Gremlin, which is part of the Apache TinkePop graph computing framework. It is simple to write, easy to learn, and widely supported by many graph databases and even non-graph databases that can emulate graph queries. On the other hand, it can be verbose for long queries but generally works well for both OLTP and analysis work. - Source: dev.to / almost 3 years ago

What are some alternatives?

When comparing Amazon Neptune and Apache TinkerPop, you can also consider the following products

neo4j - Meet Neo4j: The graph database platform powering today's mission-critical enterprise applications, including artificial intelligence, fraud detection and recommendations.

ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.

JanusGraph - JanusGraph is a scalable graph database optimized for storing and querying graphs.

Azure Cosmos DB - NoSQL JSON database for rapid, iterative app development.

OrientDB - OrientDB - The World's First Distributed Multi-Model NoSQL Database with a Graph Database Engine.

GrapheneDB - Graph databases as-a-service