neo4j VS DynamoDB

Compare neo4j VS DynamoDB and see what are their differences

craftlands.host

Powerful, fast, and budget-friendly game server hosting for Minecraft, Rust and more. featured

Contents:

» Base Details
» Videos
» Reviews
» Alternatives

neo4j

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

Amazon DynamoDB is a fast and flexible NoSQL database service for all applications that need consistent, single-digit millisecond latency at any scale. It is a fully managed cloud database and supports both document and key-value store models.

Landing page //
2023-05-09

Landing page //
2023-03-18

neo4j

Website: neo4j.com
Pricing URL: Official neo4j Pricing
$ Details
Release Date: 2007 January
Startup details
Country: United States
State: California
City: San Mateo
Founder(s): Emil Eifrem
Employees: 500 - 999

Edit details

DynamoDB

Website: aws.amazon.com
Pricing URL: -
$ Details: -
Release Date: -

Edit details

neo4j features and specs

Graph DB

DynamoDB features and specs

Scalability
DynamoDB automatically scales up and down to handle your application's needs, with no intervention required. This allows for easy handling of traffic spikes and growth over time.
Performance
With its fast, predictable performance at any scale, DynamoDB ensures low-latency responses, even with large volumes of data.
Fully Managed
As a fully managed service, DynamoDB handles hardware provisioning, setup, configuration, replication, software patching, and backups, letting you focus on your application.
Flexible Data Model
DynamoDB supports both document and key-value store models, providing flexibility in how you structure your data.
Security
DynamoDB integrates with AWS Identity and Access Management (IAM) to provide fine-grained access control and encrypts data at rest and in transit.
Global Tables
You can create multi-region, fully replicated tables for high availability and globally distributed apps with low latency reads and writes.
Event-Driven Architecture
DynamoDB integrates with AWS Lambda for automatic triggering and the creation of event-driven architectures.

Possible disadvantages of DynamoDB

Pricing Complexity
DynamoDB's pricing model, which charges based on read and write capacity units, storage, and data transfer, can be complex and difficult to predict.
Limited Query Capabilities
DynamoDB does not support complex queries as well as traditional SQL databases. Querying capabilities are limited primarily to primary key attributes.
Secondary Indexes
While DynamoDB supports secondary indexes, their use can be limited and complex to manage effectively compared to relational databases.
Consistency
DynamoDB offers eventual consistency by default. While strongly consistent reads are available, they can be more expensive and slower.
Data Size Limitations
Each item in a DynamoDB table must be 400KB or less, limiting the amount of data you can store in a single item.
Vendor Lock-In
Using DynamoDB heavily ties your application to AWS, which can be a downside if you want to maintain flexibility in your cloud infrastructure choices.

neo4j videos

+ Add

All about GRAND Stack: GraphQL, React, Apollo, and Neo4j

DynamoDB videos

+ Add

#13 - Amazon DynamoDB Basics In Under 5 Minutes [Tutorial For Beginners]

Category Popularity

0-100% (relative to neo4j and DynamoDB)

neo4j

DynamoDB

Databases

53 53%

Databases

47% 47

Graph Databases

100 100%

Graph Databases

0% 0

NoSQL Databases

67 67%

NoSQL Databases

33% 33

Cloud Computing

0 0%

Cloud Computing

100% 100

User comments

Share your experience with using neo4j and DynamoDB. For example, how are they different and which one is better?

Reviews

These are some of the external sources and on-site user reviews we've used to compare neo4j and DynamoDB

neo4j Reviews

Top 15 Free Graph Databases

Neo4j is an open-source graph database, implemented in Java described as embedded, disk-based, fully transactional Java persistence engine that stores data structured in graphs rather than in tables. Neo4j Community Edition

Source: www.predictiveanalyticstoday.com

ArangoDB vs Neo4j - What you can't do with Neo4j

Multi-Model: Neo4j is a single-model graph database. It does not support any other data models. If your application requires a document or key/value store, you would have to use a second database technology to support it. Being multi-model, ArangoDB allows you to not only use one database for everything,but run ad hoc queries on data stored in different models.

Source: www.arangodb.com

DynamoDB Reviews

Top 5 Dynobase alternatives you should know about - March 2025 Review

Dynomate offers a comprehensive solution with native AWS SSO support, advanced multi-tab functionality, and Git-based collaboration features. NoSQL Workbench is a valuable free tool from AWS, excellent for designing and visualizing data models. The JetBrains DynamoDB Plugin brings DynamoDB into your IDE with helpful autocomplete and query-saving features.

Source: www.dynomate.io

9 Best MongoDB alternatives in 2019

Amazon DynamoDB is a nonrelational database. This database system provides consistent latency and offers built-in security, and in-memory caching. DynamoDB is a serverless database which scales automatically and backs up your data for protection

Source: www.guru99.com

Social recommendations and mentions

Based on our record, DynamoDB should be more popular than neo4j. It has been mentiond 120 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.

neo4j mentions (34)

6 retrieval augmented generation (RAG) techniques you should know
The key difference lies in the retrieval mechanism. Vector databases focus on semantic similarity by comparing numerical embeddings, while graph databases emphasize relations between entities. Two solutions for graph databases are Neptune from Amazon and Neo4j. In a case where you need a solution that can accommodate both vector and graph, Weaviate fits the bill. - Source: dev.to / 24 days ago
LLM to extract and auto generate knowledge graph - step by step, in ~100 lines of python
Neo4j is a leading graph database that is easy to use and powerful for knowledge graphs. - Source: dev.to / 25 days ago
10 Ways AI Can Speed Up your Mobile App Development
Neo4j is one of the most popular graph databases. It offers powerful querying capabilities through its Cypher query language. - Source: dev.to / 3 months ago
Databases in 2024: A Year in Review
Great heads up. I wonder about graph databases. He mentioned and both include the graph use case and I wonder how they compare to . - Source: Hacker News / 5 months ago
Installing Neo4j In Ubuntu
The first blog in this series is to install neo4j - desktop version and few plugins which would help us to build an application. I am using Ubuntu 22.04.4 LTS. - Source: dev.to / 9 months ago

DynamoDB mentions (120)

Quarkus 3 application on AWS Lambda- Part 1 Introduction to the sample application and first Lambda performance measurements
In this application, we will create products and retrieve them by their ID and use Amazon DynamoDB as a NoSQL database for the persistence layer. We use Amazon API Gateway which makes it easy for developers to create, publish, maintain, monitor and secure APIs and AWS Lambda to execute code without the need to provision or manage servers. We also use AWS SAM, which provides a short syntax optimised for defining... - Source: dev.to / 18 days ago
Deploy AWS Lambda Functions and Amazon DynamoDB with AWS CDK on LocalStack
In this example, we need to set up two AWS Lambda, AWS Secrets Manager and Amazon DynamoDB resources. - Source: dev.to / about 2 months ago
Query Optimization and Performance in DynamoDB: Partition Key and Sort Key
Amazon DynamoDB revolutionized the NoSQL database world with its flexible data model and high performance. At the core of its architecture, we find two fundamental concepts: Partition Key (PK) and Sort Key (SK). This article explores how these elements not only structure data but also significantly impact application performance and scalability. - Source: dev.to / 3 months ago
Automate Email Processing using Event Driven Architecture and Generative AI
ExtractDataFunction:uses Langchain and LangSmith to validate and extract structured JSON info through Bedrock and Sonnet 3.5 v2 and then store it in DynamoDB for later use. - Source: dev.to / 3 months ago
Outgrowing Postgres: Handling increased user concurrency
NoSQL: For certain types of data and access patterns, a NoSQL database like MongoDB, ScyllaDB, or DynamoDB might be more suitable for high-concurrency scenarios, as long as your data makes more sense being denormalized. - Source: dev.to / 3 months ago

What are some alternatives?

When comparing neo4j and DynamoDB, you can also consider the following products

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

AWS Lambda - Automatic, event-driven compute service

Redis - Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.

MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.

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

Amazon S3 - Amazon S3 is an object storage where users can store data from their business on a safe, cloud-based platform. Amazon S3 operates in 54 availability zones within 18 graphic regions and 1 local region.

ArangoDB vs neo4j

ArangoDB vs DynamoDB

AWS Lambda vs neo4j

AWS Lambda vs DynamoDB

Amazon S3 vs DynamoDB