Neo4j AuraDB vs PuppyGraph comparison

Why PeerSpot?

The compared Neo4j and PuppyGraph solutions aren't in the same category. Neo4j is ranked #6 in MND , with an average rating of 8.6, and holds a 5.9% mindshare in the category. PuppyGraph is ranked #23 in ND , with an average rating of 7.0, and holds a 0.1% mindshare. Additionally, 92% of Neo4j users are willing to recommend the solution, compared to 100% of PuppyGraph users who would recommend it.

Neo4j AuraDB

Read 14 Neo4j AuraDB reviews

2,545 Views
1,782 Comparison Views

92% willing to recommend

PuppyGraph

Read 2 PuppyGraph reviews

3,314 Views
0 Comparison Views

100% willing to recommend

Neo4j AuraDB

PuppyGraph

Comparison Buyer's Guide

Download the report

Executive Summary

We performed a comparison between Neo4j AuraDB and PuppyGraph based on real PeerSpot user reviews.

Find out what your peers are saying about Microsoft, Amazon Web Services (AWS), MongoDB and others in Managed NoSQL Databases.

To learn more, read our detailed Managed NoSQL Databases Report (Updated: October 2026).

Buyer's Guide

Managed NoSQL Databases

October 2026

Download the complete report

Helped 920,769 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

Neo4j AuraDB

Average Rating

8.6

Reviews Sentiment

4.6

Number of Reviews

Ranking in other categories

Managed NoSQL Databases (6th)

PuppyGraph

Average Rating

8.6

Reviews Sentiment

6.3

Number of Reviews

Ranking in other categories

NoSQL Databases (23rd)

Mindshare comparison

Neo4j AuraDB and PuppyGraph aren’t in the same category and serve different purposes. Neo4j AuraDB is designed for Managed NoSQL Databases and holds a mindshare of 5.9%, up 5.2% compared to last year.
PuppyGraph, on the other hand, focuses on NoSQL Databases, holds 0.1% mindshare.

Managed NoSQL Databases Mindshare Distribution
Product	Mindshare (%)
Neo4j AuraDB	5.9%
Microsoft Azure Cosmos DB	14.6%
MongoDB Atlas	13.4%
Other	66.1%

Managed NoSQL Databases

NoSQL Databases Mindshare Distribution
Product	Mindshare (%)
PuppyGraph	0.1%
MongoDB Enterprise Advanced	11.3%
Cassandra	8.8%
Other	79.8%

NoSQL Databases

Featured Reviews

Rajveer Mathur

Senior AI ML Engineer at Brillio Technologies

Graph-based knowledge has streamlined interconnected support queries and improves debugging

If I say so, how Neo4j AuraDB can be improved, at a very minute level, I can say that the graphs, if I want things to be in three dimensions. Currently we get them in two dimensions. When we scale this up, the maps become complicated, and in two dimensions things can be complex in visualization purposes. When we put in filters, the connections also vanish sometimes. The visualization side is something that could help. Additionally, if there is a voice search capability, which we can implement, that would add more functionality. With so much AI involved, AI could be helpful if we put in our data and enable it to give insights from the networks already developed in the graph. Some insights could be shown to our client, indicating that their data already contains meaningful insights, which could serve an analytical purpose. Voice search on the graph would be easily understandable and provide faster outputs to the customer.

Read full review

Gurmeet K.

Senior Product Manager at a computer software company with 11-50 employees

Unified graph querying has driven deep multi-hop reasoning and transformed data governance

There are multiple features of PuppyGraph that I personally love. One of them is zero-ETL graph querying, which helps us connect with our data warehouses easily and link via dynamic JSON graph schemas. This enables us to explore relational tables, nodes, and edges in under seven minutes, which previously took three and a half hours, so it is a great reduction. I also love the massive distributed graph scalability. The distributed vectorized compute engine helps us auto-shard queries across nodes and consistently execute 10-hop traversals across multi-billion edge data sets in under two seconds. Additionally, I appreciate the unified single source of truth. It helps us commit to the underlying tables, and those commits are immediately queryable in the graph layer within zero seconds of ETL replication lag. This ensures that our AI agents never reason over stale data and always access the latest data without any lag or changes left. The governance and security of PuppyGraph are very good, and I would rate it 10 out of 10 in that aspect. PuppyGraph's governance and security features have helped our organization, as it queries lakehouse tables directly where they originate. This delivers an exceptional governance posture for our enterprise applications with the help of inherent source-level governance and ABAC, which has supported the existing row-level security while helping us implement RBAC and column masking policies. It stabilizes operations inside Snowflake in our data warehouses and has achieved 100% policy consistency with zero security drift. The accuracy and reliability of PuppyGraph's output are really great.

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

"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."

"Neo4j AuraDB has impacted my organization positively as it was extremely useful to prototype the knowledge graphs for this digital twin platform."

"The stability and reliability of Neo4j AuraDB have been very good, as it is a managed service with a 99.95% SLA, so the stability is impressive and I have not faced any outages when the product stopped working abruptly during my tenure of one and a half years."

"The tool is easy to use."

"The speed of recommendation really increased after we converted the first graph we had to a Neo4j AuraDB graph, as the response time reduced from about 5 to 10 seconds to about 1 to 5 seconds in most cases."

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

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

"Neo4j AuraDB has impacted my organization positively by improving query performance."

More Neo4j AuraDB pros

"PuppyGraph has positively impacted our organization by driving transformative capital efficiency across our pipeline infrastructure, our storage footprint, and our product delivery."

"PuppyGraph is the best answer."

Cons

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

"For me, the thing that was the most painful is the seven-day expiration where you need to reactivate or restart it."

"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."

"Neo4j AuraDB is a very strong platform, but there are a few areas for improvement. The pricing model can be somewhat unpredictable as your database grows, since costs scale with node and relationship counts."

"A production database service was suspended without prior notice."

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

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

"If I say so, how Neo4j AuraDB can be improved, at a very minute level, I can say that the graphs, if I want things to be in three dimensions."

More Neo4j AuraDB cons

"PuppyGraph is not a long-term solution as it is a virtual graph. Eventually, after we get the model right, we needed to move to Memgraph, another graph database."

Pricing and Cost Advice

"I used the free tier."

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

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

"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."

Information not available

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

920,769 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

16%

Comms Service Provider

13%

Computer Software Company

11%

Media Company

10%

Construction Company

27%

Insurance Company

24%

Comms Service Provider

12%

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	7
Midsize Enterprise	3
Large Enterprise	4

No data available

Questions from the Community

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

We explored the startup credit program and secured $16,000 in credits, which significantly reduced our initial cost.

See all answers

What is your primary use case for Neo4j AuraDB?

My main use case for Neo4j AuraDB is to create a knowledge graph with data that represents a waterway network and infrastructure. I get the data from sources such as URIs or OpenStreetMap and creat...

See all answers

What advice do you have for others considering Neo4j AuraDB?

I would recommend playing with the databases locally first. I am grateful for the free tier, as it gave me an opportunity to share early projects with others without any incurred costs. I suggest a...

See all answers

What needs improvement with PuppyGraph?

PuppyGraph is a virtual graph and not a real graph data model. However, at some point in time, once we freeze this as the graph and the graph data model, we would like to extend to a proper graph, ...

See all answers

What is your primary use case for PuppyGraph?

The main use case for PuppyGraph is establishing a graph data model layer on top of our existing systems. We do not want to bring in a new product which is completely graph-oriented, mainly because...

See all answers

What advice do you have for others considering PuppyGraph?

There are no concrete recommendations. The important thing is that if they have to choose PuppyGraph, they need to have the clarity that PuppyGraph is not a long-term solution. Only if they have a ...

See all answers

Comparisons

Amazon Neptune vs Neo4j AuraDB

Compared 19% of the time

Microsoft Azure Cosmos DB vs Neo4j AuraDB

Compared 15% of the time

MongoDB Enterprise Advanced vs Neo4j AuraDB

Compared 11% of the time

MongoDB Atlas vs Neo4j AuraDB

Compared 11% of the time

Amazon DynamoDB vs Neo4j AuraDB

Compared 9% of the time

More Neo4j AuraDB Competitors

NebulaGraph vs PuppyGraph

Compared 17% of the time

PeerSpot vs PuppyGraph

Compared 15% of the time

Iron Fort HIPAA Compliance Platform vs PuppyGraph

Compared 10% of the time

ArangoGraph vs PuppyGraph

Compared 8% of the time

ChatGPT Team - Enterprise vs PuppyGraph

Compared 6% of the time

More PuppyGraph Competitors

Product Reports

Buyer's Guide

Neo4j AuraDB

October 2026

Download Neo4j AuraDB product report

Buyer's Guide

NoSQL Databases

October 2026

Download PuppyGraph product report

Also Known As

Neo4j Aura

No data available

Overview

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

PuppyGraph is a dynamic tool designed to enhance data visualization capabilities, empowering users with robust features that make data analysis accessible and efficient. Ideal for tech-savvy audiences, it seamlessly integrates into diverse workflows, addressing both ease of use and performance requirements.

PuppyGraph provides an intuitive platform aimed at transforming complex data sets into comprehensive visual formats. It supports a wide range of data inputs, ensuring compatibility and flexibility. With its focus on enhancing interpretability, it allows users to generate real-time insights that drive informed decision-making processes across industries.

What are the key features of PuppyGraph?

Customizable Dashboards: Design personalized data displays for user-specific insights.
Real-time Data Processing: Experience up-to-the-minute data updates for timely analysis.
Integration Capabilities: Seamlessly connect with external data sources for a cohesive data strategy.
Advanced Analytics Tools: Harness sophisticated tools for in-depth data exploration.

What benefits and ROI should users consider?

Improved Efficiency: Streamlined data processes save time and resources.
Enhanced Decision-Making: Data-driven insights support strategic planning and actions.
Scalability: Adaptability to growing data demands ensures long-term utility.
Cost-Effectiveness: Optimized features result in financial savings across operations.

In industries like finance and healthcare, PuppyGraph's capabilities facilitate secure and detailed data visualization, essential for regulatory and analytical tasks. Retailers leverage its real-time data updates to fine-tune inventory strategies, whereas tech firms use advanced analytics to enter new markets and innovate without risk.

PuppyGraph

Buyer's Guide

Managed NoSQL Databases

October 2026

Download Free Report

Find out what your peers are saying about Microsoft, Amazon Web Services (AWS), MongoDB and others in Managed NoSQL Databases. Updated: October 2026.

DOWNLOAD NOW

920,769 professionals have used our research since 2012.

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.