Amazon DynamoDB vs Amazon Neptune comparison

Amazon DynamoDB and Amazon Neptune are both solutions in the Managed NoSQL Databases category. Amazon DynamoDB is ranked #2 with an average rating of 8.3, while Amazon Neptune is ranked #4 with an average rating of 8.5. Amazon DynamoDB holds a 17.6% mindshare in MND, compared to Amazon Neptune’s 12.9% mindshare. Additionally, 97% of Amazon DynamoDB users are willing to recommend the solution, compared to 100% of Amazon Neptune users who would recommend it.

Amazon DynamoDB

Read 42 Amazon DynamoDB reviews

1,704 Views
1,430 Comparison Views

97% willing to recommend

Amazon Neptune

Read 3 Amazon Neptune reviews

1,046 Views
826 Comparison Views

100% willing to recommend

Amazon DynamoDB

Amazon Neptune

Comparison Buyer's Guide

Download the report

Executive SummaryUpdated on Mar 3, 2025

Amazon DynamoDB and Amazon Neptune cater to different database needs, excelling in NoSQL and graph databases, respectively. DynamoDB seems advantageous for its favorable pricing and ease of deployment, while Neptune leads in feature richness tailored to complex data scenarios.

Features: Amazon DynamoDB offers scalability with low-latency responses, comprehensive integration capabilities, automated backups, and encryption at rest. Amazon Neptune provides advanced graph query languages like Gremlin and SPARQL, handles complex relationships seamlessly, ensures high-availability with fault-tolerant replication, and supports multiple graph formats.

Ease of Deployment and Customer Service: Amazon DynamoDB is notable for rapid deployment with a user-friendly console and extensive support. Amazon Neptune requires a more complex setup due to its graph structure but benefits from specialized support for intricate data models.

Pricing and ROI: Amazon DynamoDB offers a cost-effective structure with predictable billing for scalable NoSQL solutions. Amazon Neptune has more complex pricing linked to its comprehensive features, which although higher, offers value for users needing sophisticated graph capabilities.

To learn more, read our detailed Amazon DynamoDB vs. Amazon Neptune Report (Updated: March 2025).

Buyer's Guide

Amazon DynamoDB vs. Amazon Neptune

March 2025

Download the complete report

Helped 845,406 peers since 2012

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

Amazon Neptune

Ranking in Managed NoSQL Databases

4th

Average Rating

8.6

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of April 2025, in the Managed NoSQL Databases category, the mindshare of Amazon DynamoDB is 17.6%, down from 26.1% compared to the previous year. The mindshare of Amazon Neptune is 12.9%, down from 13.7% 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.

Read full review

Matthew Spieth

Senior Database Administrator at Summa Health System

Useful pattern identification, price well, and straightforward implementation

Relational databases are never good at identifying patterns in graphs or other similar relationships, whereas Amazon Neptune is. Amazon Neptune is good for identifying fraud and many banks are using it. For example, know that I go to certain places all the time that are connected with nodes and edges, such as gas stations, shops, and Amazon. Since people are creatures of habit, the banks can use those nodes and edges to make a model of where I like to shop and spend money. If they see something pop up that's out of character for me, then they know immediately that it is possible fraud. They can determine this because a purchase I made was somewhere I never go or because of geography.

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

"Capable of auto-scaling and integrates easily with other tools"

"The latency feature is precious."

"We directly pass the JSON value to Amazon DynamoDB, which is why Amazon DynamoDB is faster than relational databases."

"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."

"The most valuable feature of this solution is the non-relational database."

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

"The best feature of the solution is that it is a NoSQL database."

"The most valuable features of the solution are its price and stability."

More Amazon DynamoDB pros

"Relational databases are never good at identifying patterns in graphs or other similar relationships, whereas Amazon Neptune is."

"The initial setup is actually simple."

Cons

"If the database is kept running continuously, extra costs will be incurred. This particular area needs enhancement."

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

"The pricing model should be improved"

"The primary key is quite slow."

"It would be nice to have some AI features in DynamoDB."

"They could provide more information or training programs to deliver knowledge to the engineers about the components of relational databases similar to popular vendors."

"I initially faced issues with the solution's stability, performance, and security."

"The documentation is not good enough."

More Amazon DynamoDB cons

"In my scenario, the integration wasn't easy because ................in Java."

"Amazon Neptune could improve by spreading more awareness for others to have an understanding of the solution because the technology is fairly new. The developer community and larger community do not understand it yet."

Pricing and Cost Advice

"Amazon DynamoDB is cheap."

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

"The solution is cheaper than Cosmos DB."

"Given the services and benefits provided by AWS, the solution's pricing is average."

"For our use case usage, DynamoDB's pricing was okay. However, for high-traffic applications, the pricing structure becomes less attractive."

"Amazon DynamoDB is not an expensive solution."

"Its subscription cost is lower than similar databases offered by other vendors."

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

More Amazon DynamoDB pricing and cost advice

"Microsoft Azure and Amazon AWS are on par for pricing and Google has been raising its prices."

See which vendors are best for you

Use our free recommendation engine to learn which Managed NoSQL Databases solutions are best for your needs.

See recommendations

845,406 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Computer Software Company

23%

Financial Services Firm

20%

Manufacturing Company

Comms Service Provider

Computer Software Company

21%

Financial Services Firm

17%

Government

Manufacturing 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?

There is nothing that I can think of for improvements.

See all answers

What is your primary use case for Amazon DynamoDB?

My company has a fleet management system, and we primarily use DynamoDB to store location data.

See all answers

What is your experience regarding pricing and costs for Amazon Neptune?

When taken as part of the whole AWS contract, it was cheaper, but as a single service, Neptune was more expensive compared to Neo4j.

See all answers

What needs improvement with Amazon Neptune?

Some improvements could be made by introducing a UI that would clearly show the vertices and connections, which would make it easier to visualize and debug. Additionally, the need for downtime duri...

See all answers

What is your primary use case for Amazon Neptune?

So, I'm not using it currently, but when I was working with my last organization, which was a gaming company, we used Amazon Neptune for real-time fraud detection. We maintained user data, mobile d...

See all answers

Comparisons

Amazon Keyspaces vs Amazon DynamoDB

Compared 42% of the time

Microsoft Azure Cosmos DB vs Amazon DynamoDB

Compared 15% of the time

Amazon DocumentDB vs Amazon DynamoDB

Compared 10% of the time

Amazon Timestream vs Amazon DynamoDB

Compared 9% of the time

Oracle NoSQL Database Cloud vs Amazon DynamoDB

Compared 4% of the time

More Amazon DynamoDB Competitors

Microsoft Azure Cosmos DB vs Amazon Neptune

Compared 29% of the time

Neo4j AuraDB vs Amazon Neptune

Compared 21% of the time

Amazon Timestream vs Amazon Neptune

Compared 19% of the time

Amazon DocumentDB vs Amazon Neptune

Compared 10% of the time

More Amazon Neptune Competitors

Product Reports

Buyer's Guide

Amazon DynamoDB

March 2025

Download Amazon DynamoDB product report

Buyer's Guide

Amazon Neptune

March 2025

Download Amazon Neptune 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)

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. Amazon Neptune supports popular graph models Property Graph and W3C's RDF, and their respective query languages Apache TinkerPop Gremlin and SPARQL, allowing you to easily build queries that efficiently navigate highly connected datasets. Neptune powers graph use cases such as recommendation engines, fraud detection, knowledge graphs, drug discovery, and network security.

Amazon Neptune is highly available, with read replicas, point-in-time recovery, continuous backup to Amazon S3, and replication across Availability Zones. Neptune is secure with support for HTTPS encrypted client connections and encryption at rest. Neptune is fully managed, so you no longer need to worry about database management tasks such as hardware provisioning, software patching, setup, configuration, or backups.

Amazon Web Services (AWS)

Sample Customers

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

Intuit, Pearson, Samsung, Ignition One, Lifeomic, Blackfynn, Paysense

Buyer's Guide

Amazon DynamoDB vs. Amazon Neptune

March 2025

Free Report: Amazon DynamoDB vs. Amazon Neptune

Find out what your peers are saying about Amazon DynamoDB vs. Amazon Neptune and other solutions. Updated: March 2025.

DOWNLOAD NOW

845,406 professionals have used our research since 2012.

See our Amazon DynamoDB vs. Amazon Neptune report.

See our list of best Managed NoSQL Databases vendors.

We monitor all Managed NoSQL Databases reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.