Google Cloud Firestore vs Neo4j AuraDB comparison

Google and Neo4j are both solutions in the Managed NoSQL Databases category. Google is ranked #11 with an average rating of 8.3, while Neo4j is ranked #7 with an average rating of 8.9. Google holds a 6.7% mindshare in MND, compared to Neo4j’s 5.3% mindshare. Additionally, 100% of Google users are willing to recommend the solution, compared to 100% of Neo4j users who would recommend it.

Google Cloud Firestore

Read 3 Google Cloud Firestore reviews

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418 Comparison Views

100% willing to recommend

Neo4j AuraDB

Read 7 Neo4j AuraDB reviews

634 Views
634 Comparison Views

100% willing to recommend

Google Cloud Firestore

Neo4j AuraDB

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Executive SummaryUpdated on Mar 3, 2025

Neo4j AuraDB and Google Cloud Firestore are competitors in the cloud-based database solutions category. Google Cloud Firestore leads in scalability and global availability, whereas Neo4j AuraDB excels in handling complex data relationships, thanks to its graph database capabilities.

Features: Neo4j AuraDB offers advanced query capabilities for graph-specific operations, efficiently handling complex relationships within data and serving graph database needs. Google Cloud Firestore provides a scalable, NoSQL cloud document database optimized for real-time synchronization, supports mobile and web applications, and has offline capabilities.

Ease of Deployment and Customer Service: Google Cloud Firestore benefits from integration within Google Cloud, offering global support and detailed documentation. Neo4j AuraDB provides user-friendly cloud deployment with dedicated support, though it lacks the extensive network that accompanies Google Cloud products.

Pricing and ROI: Neo4j AuraDB may incur higher setup costs for extensive graph data but promises strong ROI in graph-specific scenarios. Google Cloud Firestore, with its pay-as-you-go model, offers scalability with lower initial costs, leading to potentially better ROI in real-time data management applications.

To learn more, read our detailed Google Cloud Firestore vs. Neo4j AuraDB Report (Updated: December 2025).

Buyer's Guide

Google Cloud Firestore 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

Google Cloud Firestore

Ranking in Managed NoSQL Databases

11th

Average Rating

8.4

Reviews Sentiment

5.4

Number of Reviews

Ranking in other categories

NoSQL Databases (13th)

Neo4j AuraDB

Ranking in Managed NoSQL Databases

7th

Average Rating

8.8

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 Google Cloud Firestore is 6.7%, up from 1.1% 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%
Google Cloud Firestore	6.7%
Other	88.0%

Managed NoSQL Databases

Featured Reviews

PrathapSankar

engagement Manager at Capgemini

Has simplified backend development for moderate user applications and supports efficient real-time data updates

A simplified way of building a logical layer on top of Firebase is necessary. Currently, the only option is to use cloud functions or Cloud Run functions. If they come up with an easier way of handling the logical layer between the frontend and backend, that would be beneficial. The UI of Firebase is much better compared to AWS or other Azure, but there is still scope for improving the usability of the UI. Additionally, some more AI features for automation can be added. The security layer can be enhanced, as currently, for data handling, there is just rule-based security; they can add one more layer of data security.

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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

"One of the main features of Google Cloud Firestore's document management is the real-time listener; whenever there are any changes in the data, all the documents and applications that are reading through that particular document get automatically notified that there was some change, and automatically all the data gets refreshed."

"I use the solution for maps, saving some locations, and chats."

"The most valuable features are Firestore's query capabilities and its real-time syncing functionality."

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

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

"The tool is easy to use."

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

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

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

Cons

"I initially faced a problem creating groups in individual chats."

"Firestore needs improvements in its querying capabilities, particularly the ability to join tables and merge data from different tables before sending it to the front end."

"For lower volumes, it works fine, but once the volume increases, for use cases where the total number of users is less than 100,000 a month, Firebase is cheaper. But once you go beyond that, it becomes very expensive."

"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."

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

Pricing and Cost Advice

Information not available

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

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

"I used the free tier."

"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

Government

12%

Comms Service Provider

12%

Manufacturing Company

10%

Computer Software Company

34%

Educational Organization

11%

Financial Services Firm

University

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	1

Questions from the Community

What needs improvement with Google Cloud Firestore?

See all answers

What is your primary use case for Google Cloud Firestore?

Firebase is our main backend, so for managing authentications, for managing the backend database, and building cloud functions, it is all through Firebase. In the case of Google Cloud Firestore, th...

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What advice do you have for others considering Google Cloud Firestore?

I have experience with Firebase, especially Firebase, then Google Cloud Computing Engine, and then Google Firebase Studio. Google Cloud Firestore is one of the offerings in Firebase, which is basic...

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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...

See all answers

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 ...

See all answers

Comparisons

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Compared 27% of the time

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Compared 13% of the time

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Compared 13% of the time

Amazon DynamoDB vs Google Cloud Firestore

Compared 13% of the time

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Compared 32% of the time

MongoDB Atlas vs Neo4j AuraDB

Compared 31% of the time

Microsoft Azure Cosmos DB vs Neo4j AuraDB

Compared 21% of the time

MongoDB Enterprise Advanced vs Neo4j AuraDB

Compared 6% of the time

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Product Reports

Buyer's Guide

NoSQL Databases

January 2026

Download Google Cloud Firestore product report

Buyer's Guide

Neo4j AuraDB

December 2025

Download Neo4j AuraDB product report

Overview

Google Cloud Firestore is a scalable, real-time NoSQL cloud database that provides document-oriented data storage and synchronizes data seamlessly across devices.

Designed for mobile, web, and server development, Firestore allows developers to store and sync data quickly. It supports real-time updates which enable your applications to reflect changes instantly. Firestore is based on a managed infrastructure, relieving developers from server-side maintenance and scalability concerns. It integrates with other Google Cloud services making it a convenient choice for modern app development.

What are the key features?

Real-Time Updates: Firestore automatically synchronizes data across all connected clients in real-time.
Scaling: Dynamically scales to accommodate growing data and user demands.
Offline Persistence: Stores data locally so that applications remain usable in offline mode.
Database Queries: Supports sophisticated queries to filter and retrieve data efficiently.
Security: Provides robust rules-based security for data control.

What benefits and ROI considerations should users review?

Improved Development Speed: Simplifies syncing and storing data, saving development time.
Cost-Effective: Pay-as-you-go pricing model ensures costs align with usage.
Efficiency: Reduced need for backend development enhances productivity.
Reliability: Rest assured with dependable infrastructure that ensures availability.

Firestore is widely used in industries like retail, where apps require real-time inventory tracking and customer insights. In health tech, it's utilized for patient data management, ensuring real-time updates across platforms while adhering to security protocols. Educational tech companies implement the database to provide an interactive learning experience with live collaboration features.

Google

Neo4j AuraDB offers dynamic data models, fast processing, and easy integration with clouds like AWS, Azure, and GCP, providing professionals with a versatile tool for AI and graph analysis.

Known for its speed and scalability, Neo4j AuraDB supports Python, Java, and GraphQL, fostering real-time data execution and accurate AI models. Its adaptability enhances graph analysis, data visualization, and cloud integration for diverse applications. With free and professional versions available, it aids expanding projects. Developers and scholars alike recognize the power of Neo4j AuraDB in handling project accessibility and relationship-driven data modeling.

What are the key features of Neo4j AuraDB?

Flexible Data Models: Accommodates diverse data structures efficiently.
Multi-Cloud Availability: Accessible on AWS, Azure, and GCP.
Broad Language Support: Compatible with Python, Java, and others.
Real-Time Processing: Enables quick data manipulation and analysis.
GraphQL Endpoints: Supports seamless API integrations.
Visualization Integration: Works with tools like NeoDash for data insights.

What ROI should users seek in reviews?

Scalability: Grows with business demands without added maintenance.
Cloud Integration: Simplifies deployment across multiple cloud platforms.
Data Accessibility: Enhances project sharing and accessibility.
AI Enhancement: Boosts the precision of AI and generative models.

Neo4j AuraDB is effective in industries focusing on data visualization and relationship modeling. Research teams leverage its learning capabilities for cipher language, while developers gather and analyze large-scale data like Hacker News. Organizations link unstructured data, optimizing resources and solving complex challenges. Businesses apply it to areas like water optimization, storing crucial operational knowledge.

Neo4j

Buyer's Guide

Google Cloud Firestore vs. Neo4j AuraDB

December 2025

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