Software Alternatives & Reviews

Memgraph VS Amazon Neptune

Compare Memgraph VS Amazon Neptune and see what are their differences

Memgraph logo Memgraph

Memgraph is an open source graph database built for real-time streaming and compatible with Neo4j. Whether you're a developer or a data scientist with interconnected data, Memgraph will get you the immediate actionable insights fast.

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.
  • Memgraph Landing page
    Landing page //
    2021-08-26

Memgraph is a streaming graph application platform that helps you wrangle your streaming data, build sophisticated models that you can query in real-time, and develop applications you never thought possible in days, not months.

Memgraph directly connects to your streaming infrastructure, so you and your team don’t spend countless hours building and maintaining complex data pipelines. You can ingest data from sources like Kafka, SQL, or plain CSV files. Memgraph provides a standard interface to query your data with Cypher, a widely-used and declarative query language that is easy to write, understand and optimize for performance. This is achieved by using the property graph data model, which stores data in terms of objects, their attributes, and the relationships that connect them. This is a natural and effective way to model many real-world problems without relying on complex SQL schemas.

Memgraph is implemented in C/C++ and leverages an in-memory first architecture to ensure that you’re getting the best possible performance consistently and without surprises. It’s also ACID-compliant and highly available.

  • Amazon Neptune Landing page
    Landing page //
    2023-04-04

Memgraph

$ Details
freemium
Platforms
Cross Platform Windows Mac OSX Linux Docker Web AWS
Release Date
2017 January

Amazon Neptune

Pricing URL
-
$ Details
-
Platforms
-
Release Date
-

Memgraph features and specs

  • Cypher: Yes
  • API: Yes
  • Authentication: Yes
  • Authorization: Yes
  • Data Import/Export: Yes
  • Visualizations: Yes
  • Real-time Monitoring: Yes
  • Audit Log: Yes
  • High Availibility: Yes
  • Graph DB: Yes

Amazon Neptune features and specs

No features have been listed yet.

Memgraph videos

What is Memgraph? | Office Hours #1

More videos:

  • Review - Getting started with Memgraph | LIVE

Amazon Neptune videos

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

More videos:

  • Review - Fighting fraud with Amazon Neptune and KeyLines

Category Popularity

0-100% (relative to Memgraph and Amazon Neptune)
Databases
38 38%
62% 62
Graph Databases
40 40%
60% 60
NoSQL Databases
0 0%
100% 100
Developer Tools
100 100%
0% 0

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Memgraph and Amazon Neptune

Memgraph Reviews

  1. Great experience

    The product is very robust and easy to use. I highly recommend it to anyone who needs to analyze streaming data in real-time.

Amazon Neptune Reviews

We have no reviews of Amazon Neptune yet.
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Social recommendations and mentions

Based on our record, Memgraph should be more popular than Amazon Neptune. It has been mentiond 21 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.

Memgraph mentions (21)

  • Ask HN: Who is hiring? (March 2024)
    Memgraph | Staff C++ Database Engineer | REMOTE (Central/Western Europe, LatAm, or North America) https://memgraph.com/ Memgraph is a Seed stage, open source graph database vendor. Graph DBs are a great solution for GenAI, logistics, cybersecurity and fintech so we are looking to grow aggressively this year. We're looking for a staff-level engineer to set technical direction, mentor junior team members, and solve... - Source: Hacker News / 2 months ago
  • Ask HN: Were Graph Databases a Mirage?
    Relational databases have a much longer history of development, and much more engineering time has went into designing RDBMS. It is not a surprise that they are mature on more levels. By looking at the age of a product, you can get a sense of how mature RDBMS systems are compared to most GraphDB projects. Horizontal scaling is hard in GraphDBs due to the nature of how the graph is structured and how you interact... - Source: Hacker News / 5 months ago
  • When to Use a NoSQL Database
    NoSQL databases are non-relational databases with flexible schema designed for high performance at a massive scale. Unlike traditional relational databases, which use tables and predefined schemas, NoSQL databases use a variety of data models. There are 4 main types of NoSQL databases - document, graph, key-value, and column-oriented databases. NoSQL databases generally are well-suited for unstructured data,... - Source: dev.to / 10 months ago
  • Understanding Cosine Similarity in Python with Scikit-Learn
    Whether it's about identifying similar user profiles in a social network, detecting similar patterns in a communication network, or classifying nodes in a semantic network, cosine similarity contributes valuable insights. Combined with a powerful graph database system, such as Memgraph, it gives a better understanding of complex networks. Memgraph is an open-source in-memory graph database built to handle... - Source: dev.to / 11 months ago
  • Are indices used as much in Graph databases like Neo4j as in SQL databases?
    Take a look at this blog post about choosing the optimal index. It focuses on Memgraph graph database but it offers a theoretical background that is not vendor related. Source: about 1 year ago
View more

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
View more

What are some alternatives?

When comparing Memgraph and Amazon Neptune, 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.

FalkorDB - Explore FalkorDB, the premier knowledge graph database tailor-made for GenAI applications. Unlock the power of structured data for advanced AI insights.

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

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

TigerGraph DB - Application and Data, Data Stores, and Graph Database as a Service

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