Amazon Neptune 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 #8 with an average rating of 8.3, while Neo4j is ranked #7 with an average rating of 8.9. Amazon Web Services (AWS) holds a 7.2% mindshare in MND, compared to Neo4j’s 5.3% mindshare. Additionally, 100% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 87% of Neo4j users who would recommend it.

Amazon Neptune

Read 4 Amazon Neptune reviews

769 Views
769 Comparison Views

100% willing to recommend

Neo4j AuraDB

Read 8 Neo4j AuraDB reviews

634 Views
634 Comparison Views

87% willing to recommend

Amazon Neptune

Neo4j AuraDB

Comparison Buyer's Guide

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Executive SummaryUpdated on Jan 15, 2026

Amazon Neptune and Neo4j AuraDB are competing in the graph database market. Neo4j AuraDB often has the edge due to its advanced features, while Amazon Neptune might offer better pricing and support.

Features: Amazon Neptune provides a fully managed service with multi-model capabilities and seamless integration with AWS services. Neo4j AuraDB offers advanced graph algorithms, intuitive data visualization, and a robust Cypher query language facilitating complex graph traversal and relationship mapping.

Ease of Deployment and Customer Service: Amazon Neptune integrates seamlessly with AWS ecosystems, simplifying deployment for AWS users. Neo4j AuraDB provides hassle-free scalability and superior client interaction with its specialized graph-focused support team, benefiting users requiring in-depth graph query assistance.

Pricing and ROI: Amazon Neptune's pay-as-you-go pricing model is appealing for potential cost savings, especially within the AWS suite. Neo4j AuraDB may require a higher upfront investment, but its rich features can deliver significant ROI for businesses needing advanced graph analytics despite its higher cost.

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

Buyer's Guide

Amazon Neptune vs. Neo4j AuraDB

December 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 Neptune

Ranking in Managed NoSQL Databases

8th

Average Rating

8.6

Reviews Sentiment

4.5

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

7.6

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of January 2026, in the Managed NoSQL Databases category, the mindshare of Amazon Neptune is 7.2%, down from 15.4% compared to the previous year. The mindshare of Neo4j AuraDB is 5.3%, down from 5.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Managed NoSQL Databases Market Share Distribution
Product	Market Share (%)
Neo4j AuraDB	5.3%
Amazon Neptune	7.2%
Other	87.5%

Managed NoSQL Databases

Featured Reviews

Reviewer3028812

Back End Developer at Zeta

Multiple graph models and languages support lead to efficient use, yet community growth brings challenges

The onboarding part and documentation where we could ideally use Amazon Neptune is excellent. Amazon Neptune as a product by AWS is exceptional because it supports multiple graph models such as RDF and property graph. It also has support for multiple querying languages such as Gremlin, SparkQL, and OpenCypher. It is very comprehensive in supporting every requirement we had at Zetta. Amazon Neptune's best features include its multiple servers, each supporting different languages such as OpenCypher, SparkQL, and RDF. For the same RDF graph or property graph, we could use multiple languages to query on different servers. This is exceptional because we have one graph DB with two endpoints exposed where we could interact with different languages on the same graph. Additionally, Amazon has a Sagemaker Jupyter Notebook which interacts with the Amazon Neptune database itself, providing a clean UI for representing nodes since the Jupyter Notebook has predefined graph representation capabilities through queries.

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Jeff Dalgliesh

Founder at data2

Room for improvement in interface capabilities while rapidly solving domain-specific problems

Neo4j AuraDB is a great tool for understanding connections between things. The best features Neo4j AuraDB offers are that it is easy to quickly build a solution with their tooling. Regarding the tooling, I love how fast it is that you can use NeoDash to quickly mock up a UI, and it is really nice that you can build a GraphQL endpoint to connect it to third-party applications, such as Retool or custom applications that we build for clients. Neo4j AuraDB has impacted my organization positively as it has helped me solve problems much more quickly. A specific example of a problem I solved more quickly with Neo4j AuraDB is that I was able to work with an LLM to build graph data models for domain-specific problems. The collaboration with the LLM and Neo4j AuraDB sped up my process as I'm building a tool on top of Neo4j that allows me to control how I can access data in the graph, and Neo4j had a nice interface that allowed us to work with their underlying data model.

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Quotes from Members

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

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."

"Amazon Neptune as a product by AWS is exceptional because it supports multiple graph models such as RDF and property graph, and it also has support for multiple querying languages such as Gremlin, SparkQL, and OpenCypher, making it very comprehensive in supporting every requirement we had at Zetta."

"The best features Neo4j AuraDB offers are that it is easy to quickly build a solution with their tooling."

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

"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."

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

"The tool is easy to use."

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

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

Cons

"We had a strict time constraint, and it took many sleepless nights to find information in the documentation."

"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."

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

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

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

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

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

"I would love to see a Retool type of interface builder with Neo4j AuraDB."

"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."

Pricing and Cost Advice

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

"I used the free tier."

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

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

"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."

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Top Industries

By visitors reading reviews

Financial Services Firm

19%

Computer Software Company

12%

University

12%

Insurance Company

Computer Software Company

33%

Educational Organization

11%

University

Financial Services Firm

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	4
Midsize Enterprise	2
Large Enterprise	2

Questions from the Community

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

The cost aspects were managed by our SRE team who provisioned the instances. The pricing structure is similar to how EC2 instance pricing varies. I was informed that it was somewhat expensive, thou...

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What needs improvement with Amazon Neptune?

The main issue was the limited community of Amazon Neptune users, which meant everything needed to be explored independently. Although this was adventurous, it required more time investment in the ...

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What is your primary use case for Amazon Neptune?

We managed traffic at Zetta, and traffic would be moving between multiple services in our microservice architecture. Because of this setup, we were using Amazon Neptune to understand how many reque...

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

It has fair pricing.

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What is your primary use case for Neo4j AuraDB?

My main use case for Neo4j AuraDB is solving water optimization problems for oil and gas operations. Neo4j AuraDB helps us resolve those water optimization problems by allowing us to store knowledg...

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What advice do you have for others considering Neo4j AuraDB?

My advice to others looking into using Neo4j AuraDB is to consider how many graphs you can create as quickly as needed. I think Neo4j AuraDB is doing some amazing things. On a scale of 1-5, I rate ...

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Compared 29% of the time

Microsoft Azure Cosmos DB vs Neo4j AuraDB

Compared 21% of the time

MongoDB Enterprise Advanced vs Neo4j AuraDB

Compared 8% of the time

Google Cloud Firestore vs Neo4j AuraDB

Compared 7% of the time

Amazon DynamoDB vs Neo4j AuraDB

Compared 5% of the time

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Product Reports

Buyer's Guide

Amazon Neptune

January 2026

Download Amazon Neptune product report

Buyer's Guide

Neo4j AuraDB

January 2026

Download Neo4j AuraDB product report

Also Known As

No data available

Neo4j Aura

Overview

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)

Neo4j AuraDB offers a flexible data model with extensive language integration and seamless multi-cloud accessibility. Known for scalability and performance, it supports efficient graph-based data handling across diverse applications.

Neo4j AuraDB is recognized for its comprehensive graph database capabilities, providing scalability, speed, and integration with multiple programming languages and tools. Its dedicated query language and AWS Cloud hosting enhance reliability and performance. While improvements in stability and GUI are necessary, its ability to handle graph data effectively aids in AI-driven projects and relationship-centric modeling. Researchers utilize it for cipher language studies and scalable databases, tackling diverse industry challenges.

What are the key features of Neo4j AuraDB?

Flexible Data Model: Adapts to varied workloads and requirements.
Broad Language Integration: Supports multiple programming languages for development versatility.
Multi-cloud Availability: Provides seamless deployment across different cloud platforms.
Graph-based Data Handling: Efficiently manages complex data relationships.
NeoDash Support: Facilitates quick application development with comprehensive tools.
Dedicated Query Language: Optimized for performance and reliability for graph queries.

What benefits should users consider when evaluating Neo4j AuraDB?

Scalability: Suitable for both small and large-scale graph database projects.
Performance: High-speed data processing for efficient application performance.
Reliability: AWS Cloud hosting ensures consistent uptime and security.
AI Integration: Provides contextual insights beneficial for data-driven initiatives.
Development Versatility: Supports a range of programming languages for diverse development needs.

Neo4j AuraDB is employed in industries like oil and gas, where companies address water optimization and construct knowledge graphs. It excels in relationship-centric modeling, handling structured and unstructured data for comprehensive insights, proving essential for graph-based reasoning in diverse applications.

Neo4j

Sample Customers

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

Information Not Available

Buyer's Guide

Amazon Neptune vs. Neo4j AuraDB

December 2025

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