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Neo4j AuraDB Reviews

Vendor: Neo4j
4.4 out of 5
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What is Neo4j AuraDB?

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.

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Neo4j AuraDB is the #8 ranked solution in top Managed NoSQL Databases. PeerSpot users give Neo4j AuraDB an average rating of 8.8 out of 10. Neo4j AuraDB is most commonly compared to Microsoft Azure Cosmos DB: Neo4j AuraDB vs Microsoft Azure Cosmos DB. Neo4j AuraDB is popular among the large enterprise segment, accounting for 48% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a computer software company, accounting for 32% of all views.
Buyer's Guide
Neo4j AuraDB
August 2025
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Helped 867,349 peers since 2012

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Neo4j AuraDB mindshare

As of September 2025, the mindshare of Neo4j AuraDB in the Managed NoSQL Databases category stands at 5.1%, down from 5.2% compared to the previous year, according to calculations based on PeerSpot user engagement data.
Managed NoSQL Databases Market Share Distribution
ProductMarket Share (%)
Neo4j AuraDB5.1%
Microsoft Azure Cosmos DB16.3%
Amazon DynamoDB13.6%
Other65.0%
Managed NoSQL Databases

PeerResearch reports based on Neo4j AuraDB reviews

TypeTitleDate
CategoryManaged NoSQL DatabasesSep 14, 2025Download
ProductReviews, tips, and advice from real usersSep 14, 2025Download
ComparisonNeo4j AuraDB vs Microsoft Azure Cosmos DBSep 14, 2025Download
ComparisonNeo4j AuraDB vs Amazon DynamoDBSep 14, 2025Download
ComparisonNeo4j AuraDB vs Amazon DocumentDBSep 14, 2025Download
Suggested products
TitleRatingMindshareRecommending
Microsoft Azure Cosmos DB4.116.3%95%102 interviewsAdd to research
MongoDB Atlas4.29.7%96%49 interviewsAdd to research
 
 
Key learnings from peers

Valuable Features

Neo4j AuraDB's most valuable aspects are its flexible data model, broad language support, easy integration, efficient scalability, and graph capabilities. Hosted on AWS Cloud, it ensures reliability and supports multi-cloud environments like GCP and Azure. Features include fast connection to various applications, excellent performance, high availability, and integration with tools like NeoDash and GraphQL. Users appreciate real-time data handling, professional and free versions, and enhanced AI capabilities with graph data models.
  • "The best features Neo4j AuraDB offers are that it is easy to quickly build a solution with their tooling."
  • "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."

Room for Improvement

Neo4j AuraDB could benefit from improved stability and a more intuitive cloud GUI. Network disconnections during setup highlight a need for increased reliability. The steep learning curve and complexity of code deployment require a streamlined approach. Visualizing large datasets remains a challenge, as does integrating graphs in a UI like Retool. Enhancements in documentation and discussions on scalability also suggest areas for potential growth.
  • "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."
  • "Some features can help if they can visualize graphs better."

Pricing

Neo4j AuraDB offers three pricing tiers: a free version suitable for small projects and experimentation, AuraDB Professional at $65 per month with managed services beneficial for reducing cloud administration overhead, and AuraDB Enterprise tailored for large-scale production, providing enhanced security and support. Users find the enterprise edition expensive, especially for complex projects, though some appreciate the reasonable pricing for the services offered. Startups may overestimate their needs, leading to unnecessary higher costs.
  • "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."
  • "The tool's enterprise edition is very expensive."
  • "I used the free tier."

Popular Use Cases

Research scholars use Neo4j AuraDB for cipher language studies. Users employ it for storing and analyzing data from Hacker News. Teams utilize it for graph schema visualization and problem-solving through graph techniques. Organizations find it suitable for scalable projects with easy-to-use cloud interfaces. Others leverage it for connecting and visualizing relationships in public menu data and exploring relationship-centric modeling. Companies employ it for solving water optimization problems in oil and gas operations.

Service and Support

Neo4j AuraDB customer service is described positively. Several users did not contact support due to clarity in the system, while others expressed satisfaction after interaction. Teams found the support satisfactory and praised the professionalism and niceness of the staff. Many felt confident that the service would be helpful if needed. Professionalism and a positive attitude were noted frequently, enhancing user confidence in support quality.

Deployment

Neo4j AuraDB's initial setup offers a straightforward cloud deployment without requiring local installation. Users praise its simplicity, highlighting the ease of creating a cloud account and the quick deployment time. Although the setup is generally considered user-friendly, some experience network disconnections during initial phases. The cloud version is simpler than on-premise, and the included Cypher tutorial aids understanding. Familiarity with related technologies, such as Docker, can enhance the setup experience.

Scalability

Users express mixed opinions about Neo4j AuraDB's scalability. Some find it very good and suitable for large data volumes, while others report issues when handling extensive datasets. Recent updates have improved its capabilities, but some experience disconnection problems affecting performance. Its scalability often depends on the pricing and specific use cases. Those using it for personal and experimental purposes are generally satisfied, but companies with large-scale projects may encounter concerns about efficiency and speed.

Stability

Neo4j AuraDB exhibits good stability, rated between seven and nine. Users report occasional crashes, similar to other platforms, but no significant issues with professional or enterprise versions. Multiple heavy instances might cause problems, yet teams haven't heard complaints. Some find performance satisfactory, labeling it easy to set up and learn. Neo4j AuraDB maintains a reputation for being reliable without critical stability concerns.
These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.
Download our Neo4j AuraDB Buyer's Guide for additional reliable information.

Top industries

By visitors reading reviews
Computer Software Company
32%
Educational Organization
11%
Financial Services Firm
8%
Healthcare Company
6%
Construction Company
6%
University
5%
Comms Service Provider
4%
Retailer
3%
Non Profit
3%
Government
3%
Manufacturing Company
2%
Logistics Company
2%
Pharma/Biotech Company
2%
Wireless Company
1%
Hospitality Company
1%
Media Company
1%
Museum Or Institution
1%
Performing Arts
1%
Real Estate/Law Firm
1%
Recreational Facilities/Services Company
1%
Renewables & Environment Company
1%
Transportation Company
1%
Venture Capital & Private Equity Firm
1%
Wholesaler/Distributor
1%

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Learn more about Neo4j AuraDB

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.

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Neo4j AuraDB Reviews Summary
Author infoRatingReview Summary
Founder at data25.0I've used Neo4j AuraDB for three years to solve water optimization issues in oil and gas, appreciating its speed, tooling, and integration options, though I wish it had a built-in graph viewer like Retool.
Founder & Creator at RRADD Strategy4.5Neo4j AuraDB is a cloud-based graph database ideal for scalable projects with minimal maintenance. Its professional version supports growing needs, though it has a steep learning curve. Improving the Bloom interface and development ease would enhance its usability for larger datasets.
Data Scientist - L1 at a consultancy with 51-200 employees4.5I find Neo4j AuraDB to be an efficient graph database, ideal for relationship-centric modeling and AI-enhanced analysis. It's fast, affordable, and works well across major clouds. Documentation could improve, but overall, it's effective for my projects.
Full Stack Engineer at Freelance4.5I used Neo4j AuraDB to store data from Hacker News because it was free and supported multiple languages. While connecting it to various apps was easy, stability issues occurred. The intuitive community and resources were significant advantages for me.
PHD Scholar at Indian Institute of Technology, Jodhpur4.0As a research scholar, I've found Neo4j AuraDB invaluable for my cipher language research. Integrating it with Python for visualization is straightforward, and it also supports other languages like Java. The platform meets my needs without requiring improvements.
Student at University of São Paulo5.0I utilized Neo4j AuraDB to connect and visualize data, leveraging its flexible model and excellent performance. Its AWS hosting ensures reliability. While graph visualization could be improved, its powerful graph database and community support greatly enhance data analysis efficiency.
retired at Infocz3.5Neo4j AuraDB is convenient for our team, allowing easy access and integration with modules like LangChain and LLM. However, the setup process faced stability issues due to network disconnections, highlighting the need for improvements in the tool's reliability.