Amazon DocumentDB 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 #5 with an average rating of 8.2, while Neo4j is ranked #7 with an average rating of 8.9. Amazon Web Services (AWS) holds a 8.1% mindshare in MND, compared to Neo4j’s 5.3% mindshare. Additionally, 83% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 87% of Neo4j users who would recommend it.

Amazon DocumentDB

Read 6 Amazon DocumentDB reviews

777 Views
777 Comparison Views

83% willing to recommend

Neo4j AuraDB

Read 8 Neo4j AuraDB reviews

634 Views
634 Comparison Views

87% willing to recommend

Amazon DocumentDB

Neo4j AuraDB

Comparison Buyer's Guide

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Executive SummaryUpdated on Jan 15, 2026

Amazon DocumentDB and Neo4j AuraDB are both significant players in the database technology space, with Amazon DocumentDB excelling in pricing and customer support, making it attractive for budget-conscious organizations, while Neo4j AuraDB is noted for its advanced graph database capabilities which are worth the cost for complex data tasks.

Features: Amazon DocumentDB offers MongoDB compatibility, allowing seamless migrations without major code adjustments, a fully managed service that automates patching, backups, and monitoring, and a flexible compute and storage separation for optimized performance. Neo4j AuraDB is known for its flexible data model, support for multiple programming languages, and advanced graph data processing capabilities ideal for complex relationship management and analysis. It also hosts on AWS Cloud which contributes to its reliability and offers the integration of various media types.

Room for Improvement: Amazon DocumentDB could benefit from enhanced graph database functionalities to support emerging needs in data relationship management, clearer documentation for advanced use cases, and improved real-time data processing capabilities for dynamic environments. Neo4j AuraDB’s service lifecycle management requires better advance notification for service suspensions, clearer handling of legacy AWS Marketplace subscriptions to avoid user confusion, and improved migration guidance with reasonable windows to ensure safe transitions.

Ease of Deployment and Customer Service: Amazon DocumentDB facilitates easy deployment within the AWS ecosystem, leveraging existing AWS developer resources and customer support, promoting a smooth start for users familiar with Amazon services. Neo4j AuraDB offers a straightforward cloud-based deployment with an emphasis on simplifying the graph model. Its customer service is recognized for being highly responsive and personalized, especially for database-specific inquiries.

Pricing and ROI: Amazon DocumentDB provides cost-effective solutions with predictable expenses, appealing to organizations within the AWS ecosystem seeking to minimize costs. Neo4j AuraDB may involve higher initial expenses, but it offers significant ROI for users needing advanced graph processing, as its capabilities can deliver substantial value in managing interconnected data, justifying the investment for users focused on more sophisticated requirements.

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

Buyer's Guide

Amazon DocumentDB 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 DocumentDB

Ranking in Managed NoSQL Databases

5th

Average Rating

8.2

Reviews Sentiment

4.0

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 DocumentDB is 8.1%, down from 9.9% 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 (%)
Amazon DocumentDB	8.1%
Neo4j AuraDB	5.3%
Other	86.6%

Managed NoSQL Databases

Featured Reviews

Hemanth Perepi

Technical Lead at Trianz

Supports high-level data management and secure migration

Over the past few months, I’ve been working closely with a managed database service, and a few features stood out as game changers for me and my team: MongoDB Compatibility – The seamless migration experience was a huge win. No need to rewrite code or change drivers, which meant less friction and faster adoption for our developers. Fully Managed Service – Patching, backups, and monitoring are all automated. This freed up our team to focus on building applications instead of managing infrastructure. Separation of Compute & Storage – The flexibility to scale compute and storage independently gave us both cost savings and better performance optimization. Multi-AZ High Availability – Automatic failover and cross-AZ replication gave us peace of mind with improved uptime and disaster recovery. Performance at Scale – Even with large datasets, performance has remained consistent. Read replicas and efficient indexing have been especially valuable for read-heavy workloads. Security – End-to-end encryption, VPC isolation, and IAM integration made enterprise-level security feel straightforward and reliable. Backup & Recovery – Point-in-time recovery with automated backups made data protection effortless.

Read full review

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.

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

"Migrations are easy using this product."

"There are many benefits to using Amazon DocumentDB, for example, regarding the price, you can start with a small database and when you need more performance, you can grow the database."

"Its speed has had the most significant impact on our projects. For starters, we used it for its flexibility. With DocumentDB, you're not tied to a rigid structure like you are with Aurora or other relational databases. This makes it great for startups."

"Amazon DocumentDB is a simple solution."

"Efficient data retrieval with millisecond fetch times sets it apart from RDS."

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

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

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

"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."

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

Cons

"Improvements for Amazon DocumentDB could focus on enhancing high availability, sharding methods, replication techniques, and automatic failover in case the primary goes down, as continuous backup is an excellent option for disaster recovery."

"There's a bit of a learning curve at the beginning."

"One possible improvement could be a hybrid database solution, where parts of the application leverage a relational database alongside DocumentDB. If a system were heavily relational in nature, a database like PostgreSQL might be a good fit."

"The technical support could be improved."

"However, when you need more volume or more registers, it becomes complicated because the performance adjustments and tuning are challenging."

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

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

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

"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."

"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

Information not available

"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 used the free tier."

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

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

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Top Industries

By visitors reading reviews

Computer Software Company

19%

Financial Services Firm

12%

Manufacturing Company

Educational Organization

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 advice do you have for others considering Amazon DocumentDB?

Amazon DocumentDB offers us many useful features. It is definitely a solution that an organization in need of comprehensive and effective document management should invest its money into. We are im...

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What do you like most about Amazon DocumentDB?

Its speed has had the most significant impact on our projects. For starters, we used it for its flexibility. With DocumentDB, you're not tied to a rigid structure like you are with Aurora or other ...

See all answers

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

The pricing and licensing of Amazon DocumentDB is managed directly by the client team with the vendor, so I am not involved in that aspect.

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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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Comparisons

MongoDB Atlas vs Amazon DocumentDB

Compared 28% of the time

Microsoft Azure Cosmos DB vs Amazon DocumentDB

Compared 24% of the time

Amazon Timestream vs Amazon DocumentDB

Compared 12% of the time

Amazon DynamoDB vs Amazon DocumentDB

Compared 10% of the time

Amazon Neptune vs Amazon DocumentDB

Compared 9% of the time

Product Reports

Buyer's Guide

Amazon DocumentDB

January 2026

Download Amazon DocumentDB product report

Buyer's Guide

Neo4j AuraDB

January 2026

Download Neo4j AuraDB product report

Also Known As

No data available

Neo4j Aura

Overview

Amazon DocumentDB (with MongoDB compatibility) is a fast, scalable, highly available, and fully managed document database service that supports MongoDB workloads.

Amazon DocumentDB is designed from the ground-up to give you the performance, scalability, and availability you need when operating mission-critical MongoDB workloads at scale. In Amazon DocumentDB, the storage and compute are decoupled, allowing each to scale independently, and you can increase the read capacity to millions of requests per second by adding up to 15 low latency read replicas in minutes, regardless of the size of your data.

Amazon DocumentDB is designed for 99.99% availability and replicates six copies of your data across three AWS Availability Zones (AZs). You can use AWS Database Migration Service (DMS) for free (for six months) to easily migrate their on-premises or Amazon Elastic Compute Cloud (EC2) MongoDB databases to Amazon DocumentDB with virtually no downtime.

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

Finra, The Washington Post, Freshop

Information Not Available

Buyer's Guide

Amazon DocumentDB vs. Neo4j AuraDB

December 2025

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