Microsoft Azure Cosmos DB vs Neo4j AuraDB comparison

Microsoft and Neo4j are both solutions in the Managed NoSQL Databases category. Microsoft is ranked #1 with an average rating of 8.3, while Neo4j is ranked #8 with an average rating of 8.9. Microsoft holds a 16.3% mindshare in MND, compared to Neo4j’s 5.2% mindshare. Additionally, 95% of Microsoft users are willing to recommend the solution, compared to 100% of Neo4j users who would recommend it.

Microsoft Azure Cosmos DB

Read 103 Microsoft Azure Cosmos DB reviews

7,774 Views
3,265 Comparison Views

95% willing to recommend

Neo4j AuraDB

Read 7 Neo4j AuraDB reviews

539 Views
539 Comparison Views

100% willing to recommend

Microsoft Azure Cosmos DB

Neo4j AuraDB

Comparison Buyer's Guide

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Executive SummaryUpdated on Oct 19, 2025

Microsoft Azure Cosmos DB and Neo4j AuraDB are competing in the database service category, with Cosmos DB leading in global scalability and model diversity, while Neo4j AuraDB has an advantage in graph processing capabilities.

Features: Azure Cosmos DB provides multi-model support, automatic scaling, and robust global distribution, essential for businesses needing diverse models and scalability. Neo4j AuraDB excels in graph data processing, offering efficient querying and visualization tools, making it ideal for applications dependent on complex relationship insights.

Room for Improvement: Azure Cosmos DB could improve its graph database offerings and refine its integration capabilities with non-Microsoft products. Neo4j AuraDB might focus on enhancing its support for non-graph data storage, improve scalability beyond graph databases, and expand its integration with diverse cloud ecosystems.

Ease of Deployment and Customer Service: Azure Cosmos DB offers seamless integration with Azure services, simplifying deployment, especially for existing Azure customers. Its customer service is comprehensive and efficient. Neo4j AuraDB, as a fully managed cloud service, focuses on easy maintenance with support centered on improving the graph database experience and provides swift deployments.

Pricing and ROI: Azure Cosmos DB presents higher initial costs due to its comprehensive feature set, but promises considerable ROI, especially for global scalability needs. Neo4j AuraDB offers more cost-effective solutions for graph database users, delivering rapid returns for graph-centric applications, with attractive pricing options for businesses focusing on relationship data.

To learn more, read our detailed Microsoft Azure Cosmos DB vs. Neo4j AuraDB Report (Updated: September 2025).

Buyer's Guide

Microsoft Azure Cosmos DB vs. Neo4j AuraDB

September 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

Microsoft Azure Cosmos DB

Ranking in Managed NoSQL Databases

1st

Average Rating

8.2

Reviews Sentiment

7.0

Number of Reviews

103

Ranking in other categories

Database as a Service (DBaaS) (4th), NoSQL Databases (2nd), Vector Databases (1st)

Neo4j AuraDB

Ranking in Managed NoSQL Databases

8th

Average Rating

8.8

Reviews Sentiment

7.6

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of October 2025, in the Managed NoSQL Databases category, the mindshare of Microsoft Azure Cosmos DB is 16.3%, down from 16.9% compared to the previous year. The mindshare of Neo4j AuraDB is 5.2%, down from 5.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Managed NoSQL Databases Market Share Distribution
Product	Market Share (%)
Microsoft Azure Cosmos DB	16.3%
Neo4j AuraDB	5.2%
Other	78.5%

Managed NoSQL Databases

Featured Reviews

MichaelJohn

Director | Data & AI at a tech services company with 11-50 employees

Very efficient for application-facing scenarios

There are several areas for improvement. Firstly, having a local development emulator or simulator for Azure Cosmos DB would be beneficial. It would be very handy to have a Docker container that developers can use locally. Although, I know there is a free tier and so on and so forth, having a local environment would be nice. For example, SQL Server is very portable. You can even install it on your machine. That is the number one thing that is missing in Azure Cosmos DB. The second improvement area is the IDE of choice. That means how you interact with Azure Cosmos DB. For example, with SQL Server, you have SQL Server Management Studio. I know there is a little bit of support for Azure Cosmos DB in Azure Data Studio, but it is not heavily advertised or it does not feel like first-class citizen support. Developer experience or developer tooling is missing in terms of interacting with the database. Better developer tools or an IDE for interacting with Azure Cosmos DB would enhance the developer experience. Lastly, there is some mixed messaging about what Azure Cosmos DB is, given its multiple APIs. There are so many Azure Cosmos DB APIs available. There is NoSQL. There are MongoDB, Gremlin, and others. There is still some mixed messaging for others who are new to Azure Cosmos DB about what Azure Cosmos DB is. Is this like MongoDB, but then there is also MongoDB in Azure Cosmos DB? I know it well, and I know that the default one is just NoSQL, but others I have interacted with over the last ten years or so get confused.

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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

"rate Azure support nine out of 10. They respond quickly and will help you manage costs. However, they mainly give you an overview of the issue, so they'll never have an in-depth idea of what you're doing. They aren't the owners of our product, so they don't know much about it, but they can ask you generally: What are you doing? Are you doing too many updates? How can we reduce the cost?"

"It works reasonably fast. You can retain the original format of the document as received by the third-party system."

"The searching capability is exceptional. It is very simple and incomparable to competitors."

"The connectors, such as the MongoDB connector and the integration with SQL, are incredibly valuable."

"Microsoft Azure Cosmos DB is very fast."

"Cosmos is preferred because of its speed, robustness, and utilization."

"The solution is user friendly and Microsoft's technical support is good."

"The best feature about Microsoft Azure Cosmos DB is its interface, which is awesome for accessing data."

More Microsoft Azure Cosmos DB pros

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

"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."

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

"The tool is easy to use."

Cons

"What is missing in Microsoft Azure Cosmos DB is definitely cold storage. We know it's coming, but that's currently what is missing—the possibility to park older data in a cold tier."

"There should be a simpler way for data migration."

"It would be beneficial if Cosmos supported batch and real-time use cases to make the system more seamless."

"The current data analytics of Cosmos DB is inefficient for large-scale queries due to its transactional design."

"The integration with other solutions needs to improve because Cosmos DB's interoperability is lacking in some scenarios. For example, I'm currently implementing Fabric. That involves migrating from environments without apps, processing data and users, and taking them to Fabric."

"The topic of RU consumption needs better documentation. Now that Microsoft has partnered with different LLM organizations, such as OpenAI, a bot could guide us through different metrics present in Microsoft Azure Cosmos DB."

"Because there is no local way of doing things, Azure Cosmos DB will always be considered expensive."

"The one thing that I have been working on with Microsoft with regard to this is the ability to easily split partitions and have it do high-performance cross-partition queries. That is the only place where either our data size or our throughput has grown beyond one partition, so being able to do cross-partition queries efficiently would be my number one request."

More Microsoft Azure Cosmos DB cons

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

"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."

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

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

Pricing and Cost Advice

"Cosmos should be cheaper. We actually intend to stop using it in the near future because the price is too high."

"Because of the lack of understanding about RUs, the costs become unpredictable. It sometimes goes over the budget."

"The price of Microsoft Azure Cosmos DB could be a bit lower."

"Its pricing is not bad. It is good."

"The tool is not expensive."

"Cosmos DB is a PaaS, so there are no upfront costs for infrastructure. There are only subscriptions you pay for Azure and things like that. But it's a PaaS, so it's a subscription service. The license isn't perpetual, and the cost might seem expensive on its face, but you have to look at the upkeep for infrastructure and what you're saving."

"Cosmos DB's pricing structure has significantly improved in recent months, both in terms of its pricing model and how charges are calculated."

"Cosmos DB gave us three accounts for $400. We pay according to the usage."

More Microsoft Azure Cosmos DB pricing and cost advice

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

"I used the free tier."

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Top Industries

By visitors reading reviews

Legal Firm

13%

Financial Services Firm

10%

Comms Service Provider

10%

Computer Software Company

31%

Educational Organization

10%

Financial Services Firm

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	31
Midsize Enterprise	19
Large Enterprise	55

By reviewers
Company Size	Count
Small Business	4
Midsize Enterprise	2
Large Enterprise	1

Questions from the Community

What do you like most about Microsoft Azure Cosmos DB?

The initial setup is simple and straightforward. You can set up a Cosmos DB in a day, even configuring things like availability zones around the world.

See all answers

What is your experience regarding pricing and costs for Microsoft Azure Cosmos DB?

In terms of budget, Microsoft Azure Cosmos DB offers multiple selection options from Azure, allowing us to choose services such as auto-scale and select how many RUs we need at any time. We typical...

See all answers

What needs improvement with Microsoft Azure Cosmos DB?

I expect improvements in Microsoft Azure Cosmos DB, particularly in the vector database area. In comparison to Databricks, there’s a functionality in Databricks that allows direct updates of the da...

See all answers

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

It has fair pricing.

See all answers

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

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Compared 6% of the time

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Compared 41% of the time

MongoDB Atlas vs Neo4j AuraDB

Compared 32% of the time

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Product Reports

Buyer's Guide

Microsoft Azure Cosmos DB

October 2025

Download Microsoft Azure Cosmos DB product report

Buyer's Guide

Neo4j AuraDB

October 2025

Download Neo4j AuraDB product report

Also Known As

Microsoft Azure DocumentDB, MS Azure Cosmos DB

No data available

Overview

Microsoft Azure Cosmos DB is a globally distributed, multi-model database service providing scalability, user-friendliness, and seamless integration, suitable for managing large volumes of structured and unstructured data across diverse applications.

Azure Cosmos DB is renowned for its scalability, stability, and ease of integration, offering robust support for multiple data models and APIs. Its capacity for handling unstructured data efficiently and providing real-time analytics makes it ideal for applications requiring high performance and global distribution. With features like automatic failover and integration with Microsoft products, users benefit from cost optimization and secure data handling. Enhancement opportunities include simplifying queries, improving documentation, and expanding backup and analytics functionalities.

What are the most important features of Microsoft Azure Cosmos DB?

Scalability and Autoscaling: Efficiently handles growing data and user demands.
Multi-Model Support: Adapts to different data models seamlessly.
Global Distribution: Provides low-latency access across multiple regions.
Automatic Failover: Ensures high availability and reliability.
Integration with Microsoft Products: Offers seamless connectivity with Azure services.

What benefits should users look for in Microsoft Azure Cosmos DB reviews?

Performance and Speed: Exceptionally fast processing for real-time data analytics.
Cost Optimization: Tools for managing expenses effectively.
Secure Data Handling: Implements strong data security measures.
Flexible Data Ingestion: Supports diverse data ingestion methods.

Azure Cosmos DB is frequently used in sectors like web, mobile, IoT, and analytics. It supports applications as a key-value store, processes real-time data, and enables global scalability with low-latency access. Its big data management capabilities and integration with Azure services enhance its utility across industries.

Microsoft

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.

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.

Neo4j

Sample Customers

TomTom, KPMG Australia, Bosch, ASOS, Mercedes Benz, NBA, Zero Friction, Nederlandse Spoorwegen, Kinectify

Information Not Available

Buyer's Guide

Microsoft Azure Cosmos DB vs. Neo4j AuraDB

September 2025

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