Amazon DynamoDB vs Neo4j AuraDB comparison

Amazon Web Services (AWS) and Neo4j are both solutions in the Managed NoSQL Databases category. Amazon Web Services (AWS) is ranked #2 with an average rating of 8.3, while Neo4j is ranked #7 with an average rating of 8.7. Amazon Web Services (AWS) holds a 17.3% mindshare in MND, compared to Neo4j’s 5.1% mindshare. Additionally, 97% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 100% of Neo4j users who would recommend it.

Amazon DynamoDB

Read 43 Amazon DynamoDB reviews

1,704 Views
1,430 Comparison Views

97% willing to recommend

Neo4j AuraDB

Read 6 Neo4j AuraDB reviews

462 Views
319 Comparison Views

100% willing to recommend

Amazon DynamoDB

Neo4j AuraDB

Comparison Buyer's Guide

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Executive SummaryUpdated on Mar 3, 2025

Amazon DynamoDB and Neo4j AuraDB compete in the database solutions category. While Amazon DynamoDB has an edge in scalability and integration with AWS services, Neo4j AuraDB excels in handling highly connected data with advanced graph capabilities.

Features: Amazon DynamoDB provides automatic scaling, multi-region replication, and seamless AWS integration, facilitating broad use cases with high throughput and low latency. Neo4j AuraDB, on the other hand, specializes in graph data management, offering advanced querying through its Cypher language and intricate relationship mapping capabilities.

Room for Improvement: Amazon DynamoDB could enhance complex query handling and expand support for relationship-centric data. Additionally, improving transaction management could provide a competitive advantage. Neo4j AuraDB may benefit from better scalability options and enhanced integration with alternative cloud services. Its user interface and cost transparency can also be refined.

Ease of Deployment and Customer Service: Amazon DynamoDB benefits from AWS’s vast support network, offering an easy and automated setup for large-scale deployments. Neo4j AuraDB offers user-friendly, cloud-based graph database setup and specialized support focused on optimizing graph database use, ensuring users can start quickly with tailored assistance.

Pricing and ROI: Amazon DynamoDB employs usage-based pricing, aligning with cloud models for high ROI due to minimal upfront costs. Neo4j AuraDB uses subscription models, which may have higher entry costs but provide value for tasks requiring complex network analysis. While DynamoDB is suited for budget-friendly solutions, Neo4j’s precise processing in graph applications justifies its pricing for specialized needs.

To learn more, read our detailed Amazon DynamoDB vs. Neo4j AuraDB Report (Updated: April 2025).

Buyer's Guide

Amazon DynamoDB vs. Neo4j AuraDB

April 2025

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Amazon DynamoDB

Ranking in Managed NoSQL Databases

2nd

Average Rating

8.2

Reviews Sentiment

6.4

Number of Reviews

Ranking in other categories

No ranking in other categories

Neo4j AuraDB

Ranking in Managed NoSQL Databases

7th

Average Rating

8.6

Reviews Sentiment

7.4

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of May 2025, in the Managed NoSQL Databases category, the mindshare of Amazon DynamoDB is 17.3%, down from 25.4% compared to the previous year. The mindshare of Neo4j AuraDB is 5.1%, up from 5.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Managed NoSQL Databases

Featured Reviews

Prabin Silwal

Senior Engineering Consultant at ASSURANCE IQ, INC.

Offers exceptional performance to users

Previously, when in my company, we used to store 64 KB of data, we used to get problems and errors, and due to such reason, at such a point in time, we had to find a different storage system or modify the system so that the size of the value is not more than 64 KB. The main aforementioned issue in the tool can be considered for improvement for Amazon DynamoDB. In our company, we have some data which can be stored as we want. Previously, only 64 KB could be used, and later, I think, it was about 400 KB. If the tool could have an additional 10 MB to offer, then the tool could be easier to use. The tool is a key value storage, where the key will be long. In terms of value, we couldn't store more than 64 kb previously in the tool, but later on, it was increased to 400 KB, which is a limitation that I don't like in the tool.

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Erle Pereira

Founder & Creator at RRADD Strategy

A graph database, purpose built to leverage relationships in data, enabling lightning-fast queries for real-time analytics and insights

There’s room for improvement in Neo4j AuraDB, especially on the developer side. The learning curve can be steep, and the interface for developing and pushing code can be unnecessarily complex. It might be beneficial to simplify this process to help developers ramp up more quickly. Working with graph databases like Neo4j can be more challenging than standard databases, particularly for juniors and those new to graph technology. Streamlining the development process could make it easier for new users to get up to speed. This would be particularly useful for teams with less experience in graph databases. If I could add a feature to Neo4j AuraDB, I’d focus on improving the Bloom interface. It’s excellent for visualizing smaller datasets, but navigating through it becomes challenging as the data grows—say, past 100,000nodes. The interface works well for beginners but doesn’t scale effectively for more advanced users of large datasets. I want a UI that bridges the gap between the easy-to-use Bloom interface and more complex, text-based tools. This would help manage larger datasets more efficiently and improve performance.

Read full review

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"The most valuable features are the flexibility and the compatibility options without needing to use any additional services or software. It is an independent solution that doesn't need other solutions to operate."

"Amazon DynamoDB is powerful and fast. Its performance is good."

"The ability to store multiple data attributes is crucial. For example, in a contact flow, if a customer calls, we can integrate DynamoDB dynamically. We need only the customer's mobile number as the primary key, which is stored in the DynamoDB table."

"Never used the support. I got all the information from the documentation."

"It offers quick performance and rapid data retrieval, often providing limited data initially but scaling up to fulfill larger demands seamlessly."

"DynamoDB is easy to configure, easy to use, and allows for writing data in JSON format."

"Scalability has significantly enhanced data retrieval speeds."

"The fact that Amazon DynamoDB is highly scalable is one of its best features."

More Amazon DynamoDB pros

"The tool is easy to use."

"The most beneficial things in terms of AuraDB are its speed, its good pricing, the multi-cloud availability."

"From my experience, I particularly like the professional version. Initially, developers often start with the free variant. Once the project grows, we switch to the professional version, which offers multiple databases, expanded memory, and better scalability. This allows us to handle more data and use cloud scaling features."

"I like the idea of graphs and nodes and the possibilities Neo4j AuraDB offers."

"The most valuable features of Neo4j AuraDB include its flexible data model and broad language support."

"Integrating the front-end language with Neo4j AuraDB is a very easy process."

Cons

"Querying data on the solution is quite limited, but this is like any other NoSQL database. It's the most common criticism of the NoSQL database in general."

"The solution's interface is the biggest challenge because if you want to access DynamoDB, you need an AWS account."

"Amazon DynamoDB could improve by being more robust, having a better user interface and data management. Additionally, there is some limited functionality compared to other solutions, such as MongoDB."

"If you have no prior experience with this type of non-relational database, the syntaxes, implementation, or understanding may be difficult."

"If you purchase the support plan, their support team is good. If not, it takes two to three days to respond, sometimes even more."

"The documentation is not good enough."

"The response time for data queries should be less than a second"

"Currently, there is no option for a scheduled refresh in this solution. We want the data to be populated into DynamoDB on a timely basis. Currently, you have to go to the DynamoDB table and hit the refresh button to populate it with the new data. If you have connected DynamoDB to a BI application for creating visualizations with charts, graphs, or other things, you would want it to get updated as per the schedule so that you have updated visualizations in your BI application."

More Amazon DynamoDB cons

"In terms of AuraDB, the conversations have always been around scalability."

"There’s room for improvement in Neo4j AuraDB, especially on the developer side. The learning curve can be steep, and the interface for developing and pushing code can be unnecessarily complex. It might be beneficial to simplify this process to help developers ramp up more quickly. Working with graph databases like Neo4j can be more challenging than standard databases, particularly for juniors and those new to graph technology. Streamlining the development process could make it easier for new users to get up to speed. This would be particularly useful for teams with less experience in graph databases. If I could add a feature to Neo4j AuraDB, I’d focus on improving the Bloom interface. It’s excellent for visualizing smaller datasets, but navigating through it becomes challenging as the data grows—say, past 100,000nodes. The interface works well for beginners but doesn’t scale effectively for more advanced users of large datasets. I want a UI that bridges the gap between the easy-to-use Bloom interface and more complex, text-based tools. This would help manage larger datasets more efficiently and improve performance."

"Some features can help if they can visualize graphs better."

"I've experienced it crashing a few times, so stability could be better."

"During the product's initial setup phase, there were some issues due to disconnections in the tool's network."

Pricing and Cost Advice

"Amazon DynamoDB is not an expensive solution."

"We previously paid around $20,000 a month for MongoDB, and now we're paying just $4,000 monthly for Amazon DynamoDB."

"I would rate the pricing for this solution a four out of five."

"I can say that it is not the cheapest one because if we had our own kind of storage solution, our own hosting, and instead of using the cloud, we opted for some other method, it would have been a tool of a lower cost."

"On a scale of one to ten, where one is a high price and ten is a low price, I rate the pricing a seven. It is not the cheapest, but it is not the costliest either."

"It is costly. To reduce the costs, users need to read the node in front of it. For read-heavy groups, cache optimization can help manage costs.I can't disclose specific pricing, but it's competitive compared to others in the market, and this information is easily accessible online"

"Compared to a high-end relational database, it's cheap."

"The solution's pricing is good, and it's not expensive."

More Amazon DynamoDB pricing and cost advice

"Neo4j AuraDB is reasonably priced, especially considering it removes the need for cloud administration and associated costs. It's a good deal for the professional version, as it includes managed services, which reduces the overhead compared to setting up your own infrastructure. The cost can be higher for enterprise-scale projects, but that's often due to the scale and complexity of the project rather than the product itself. Startups sometimes overestimate their needs and jump to enterprise pricing too quickly, leading to higher costs than necessary."

"I am using an open-source version of Neo4j AuraDB."

"I used the free tier."

"The tool's enterprise edition is very expensive."

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Top Industries

By visitors reading reviews

Computer Software Company

24%

Financial Services Firm

19%

Manufacturing Company

Government

Computer Software Company

30%

Financial Services Firm

11%

Educational Organization

11%

Construction Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What do you like most about Amazon DynamoDB?

We don't have to administer the tool.

See all answers

What needs improvement with Amazon DynamoDB?

The user interface could be improved to make it more intuitive. From a design and solution perspective, it's really good, but the interface always has room for enhancement.

See all answers

What is your primary use case for Amazon DynamoDB?

We use Amazon DynamoDB for data lookups with the consultancy.

See all answers

What is your experience regarding pricing and costs for Neo4j AuraDB?

It has fair pricing.

See all answers

What is your primary use case for Neo4j AuraDB?

I worked on a project focused on the quality of public menus, using Neo4j AuraDB to connect and create relationships between food items. This allowed us to visualize data in interesting ways and id...

See all answers

What advice do you have for others considering Neo4j AuraDB?

Neo4j AuraDB is a powerful graph database that enables us to accomplish impressive tasks. Specifically, as a cloud-based service, it eliminates the need for a high-performance computer to use it. S...

See all answers

Comparisons

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Compared 45% of the time

Microsoft Azure Cosmos DB vs Amazon DynamoDB

Compared 16% of the time

Amazon Neptune vs Amazon DynamoDB

Compared 14% of the time

Amazon DocumentDB vs Amazon DynamoDB

Compared 9% of the time

Amazon Timestream vs Amazon DynamoDB

Compared 9% of the time

More Amazon DynamoDB Competitors

Amazon Neptune vs Neo4j AuraDB

Compared 52% of the time

Microsoft Azure Cosmos DB vs Neo4j AuraDB

Compared 48% of the time

More Neo4j AuraDB Competitors

Product Reports

Buyer's Guide

Amazon DynamoDB

April 2025

Download Amazon DynamoDB product report

Buyer's Guide

Neo4j AuraDB

April 2025

Download Neo4j AuraDB product report

Overview

Amazon DynamoDB is a scalable NoSQL database valued for its speed and cost efficiency, adept in handling unstructured data and delivering fast data retrieval without predefined schemas.

Amazon DynamoDB is recognized for seamless integration with AWS services and its ability to accommodate large datasets. It provides powerful performance with automatic scaling, JSON document storage, and requires no external configurations. Users appreciate the predictable performance and ease of use, although the documentation lacks clarity, and local access necessitates third-party tools. Complex queries can be challenging due to limited API options. Desired improvements include better integration with other services and an enhanced interface. The cost structure and data storage limitations present challenges with improvements needed in backup, restore, caching, and query performance.

What are the standout features of Amazon DynamoDB?

Scalability: Automatically adjusts capacity to accommodate workloads.
Integration: Seamless with various AWS services for comprehensive solutions.
NoSQL Flexibility: Adapts to diverse unstructured data needs.
JSON Storage: Stores and manages data in JSON format efficiently.
Automatic Scaling: Ensures efficient resource usage and cost management.

Which benefits should users consider in reviews?

Performance: Provides fast and efficient data retrieval.
Cost Efficiency: Manages data storage costs effectively.
Ease of Use: Offers a straightforward setup and management experience.
Flexibility: Adaptable to different data requirements and workloads.

Amazon DynamoDB is implemented in industries for IoT data management, weather data storage, localization automation, and large stream indexing. It's utilized for user data management in web services and e-commerce, providing high-performance, scalable storage solutions. Companies benefit from serverless architecture, JSON storage, and integration with Lambda for optimized data handling.

Amazon Web Services (AWS)

Neo4j AuraDB offers seamless integration with Python, Java, and Go, efficiently handles real-time data, and is hosted on AWS Cloud for reliable, scalable, and multi-cloud support across GCP, Azure, and Amazon.

Neo4j AuraDB is appreciated for its flexible data models and dedicated query language, ideal for network correlation and graph analysis. It provides scalability with expanded memory and supports multiple databases. While users enjoy its speed and AI data handling capabilities, challenges include stability, with occasional crashes and a need for a more intuitive cloud interface. Enhancements in simplifying the development process and improving the Bloom interface for large datasets are desired. Although documentation is positive, it could be streamlined. Scalability in large projects is a recurring concern alongside a more user-friendly setup for less experienced teams.

What are Neo4j AuraDB's standout features?

Seamless language integration: Works well with Python, Java, and Go.
Cloud hosting: Reliable hosting on AWS with GCP and Azure compatibility.
Scalability: Offers expanded memory and support for multiple databases.
Real-time data handling: Efficient for AI and analytics projects.
Flexible data model: Supports network correlation and relationship-centric modeling.

What benefits should users expect?

Cost-effective pricing: Multi-cloud availability ensures competitive rates.
Rapid analysis: Swiftly handles data point relationships.
Graph visualization: Enables effective illustration of graph schemas.
Project scalability: Supports resource aggregation and AI applications.

Research teams use Neo4j AuraDB to learn cipher language and gather data from platforms like Hacker News. It is vital for graph data access, participant engagement, and projects like connecting food data or investment insights. Companies needing scalable cloud interfaces and swift data analysis in generative AI contexts benefit significantly, achieving effective data point connection with robust documentation.

Neo4j

Sample Customers

Samsung, Snapchat, Capital One, Expedia, Tinder, Airbnb, Comcast, Lyft, Redfin, Netflix, Adobe

Information Not Available

Buyer's Guide

Amazon DynamoDB vs. Neo4j AuraDB

April 2025

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