Amazon Neptune vs Microsoft Azure Cosmos DB comparison

Amazon Web Services (AWS) and Microsoft are both solutions in the Managed NoSQL Databases category. Amazon Web Services (AWS) is ranked #9 with an average rating of 8.3, while Microsoft is ranked #1 with an average rating of 8.3. Amazon Web Services (AWS) holds a 6.9% mindshare in MND, compared to Microsoft’s 16.0% mindshare. Additionally, 100% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 95% of Microsoft users who would recommend it.

Amazon Neptune

Read 4 Amazon Neptune reviews

855 Views
855 Comparison Views

100% willing to recommend

Microsoft Azure Cosmos DB

Read 109 Microsoft Azure Cosmos DB reviews

10,961 Views
3,946 Comparison Views

95% willing to recommend

Amazon Neptune

Microsoft Azure Cosmos DB

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Executive SummaryUpdated on Jan 25, 2026

Microsoft Azure Cosmos DB and Amazon Neptune compete in the database services category, each offering unique strengths. Azure Cosmos DB holds an edge with its extensive flexibility and robust global distribution capabilities, excelling in various data architectures, whereas Amazon Neptune's strong suit is in specialized graph database management, making it appealing for specific applications like knowledge graphs and social networks.

Features: Azure Cosmos DB offers multi-model data support, accommodating multiple APIs for a versatile approach to data architectures. It provides exceptional global distribution capabilities, enabling seamless cross-region solutions. Its comprehensive indexing strategies ensure fast and consistent data retrieval. Amazon Neptune supports complex graph data models, including Property Graphs and RDF. It delivers specialized functionalities for graph applications, allowing for efficient handling of graph workloads. Its integration with AWS services enhances its offerings for graph-specific use cases.

Ease of Deployment and Customer Service: Azure Cosmos DB is noted for straightforward deployments across multiple regions, providing a seamless experience for scaling. It is backed by consistent and prompt customer support, which efficiently handles user issues. Amazon Neptune is optimized for graph database deployment with efficient setup tools for relational data graphs. However, users might face delays in customer service responses. The critical difference lies in Azure’s ease across regions and consistent support compared to Neptune's efficiency in graph deployments.

Pricing and ROI: Azure Cosmos DB employs a pricing model based on provisioned throughput, scaling according to workload demands and offering significant ROI, especially for extensive global applications. Amazon Neptune presents competitive pricing for graph workloads but might incur higher costs with increased complexity due to its pricing structure based on graph compute units. Azure supports flexible use cases with its versatile cost structure, while Neptune remains cost-effective for specialized graph data applications.

To learn more, read our detailed Amazon Neptune vs. Microsoft Azure Cosmos DB Report (Updated: March 2026).

Buyer's Guide

Amazon Neptune vs. Microsoft Azure Cosmos DB

March 2026

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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 Neptune

Ranking in Managed NoSQL Databases

9th

Average Rating

8.6

Reviews Sentiment

4.5

Number of Reviews

Ranking in other categories

No ranking in other categories

Microsoft Azure Cosmos DB

Ranking in Managed NoSQL Databases

1st

Average Rating

8.2

Reviews Sentiment

6.9

Number of Reviews

109

Ranking in other categories

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

Mindshare comparison

As of March 2026, in the Managed NoSQL Databases category, the mindshare of Amazon Neptune is 6.9%, down from 13.8% compared to the previous year. The mindshare of Microsoft Azure Cosmos DB is 16.0%, down from 16.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Managed NoSQL Databases Mindshare Distribution
Product	Mindshare (%)
Microsoft Azure Cosmos DB	16.0%
Amazon Neptune	6.9%
Other	77.1%

Managed NoSQL Databases

Featured Reviews

Reviewer3028812

Back End Developer at Zeta

Multiple graph models and languages support lead to efficient use, yet community growth brings challenges

The onboarding part and documentation where we could ideally use Amazon Neptune is excellent. Amazon Neptune as a product by AWS is exceptional because it supports multiple graph models such as RDF and property graph. It also has support for multiple querying languages such as Gremlin, SparkQL, and OpenCypher. It is very comprehensive in supporting every requirement we had at Zetta. Amazon Neptune's best features include its multiple servers, each supporting different languages such as OpenCypher, SparkQL, and RDF. For the same RDF graph or property graph, we could use multiple languages to query on different servers. This is exceptional because we have one graph DB with two endpoints exposed where we could interact with different languages on the same graph. Additionally, Amazon has a Sagemaker Jupyter Notebook which interacts with the Amazon Neptune database itself, providing a clean UI for representing nodes since the Jupyter Notebook has predefined graph representation capabilities through queries.

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reviewer2724105

Senior Director of Product Management at a tech vendor with 1,001-5,000 employees

Provides super sharp latency, excellent availability, and the ability to effectively manage costs across different tenants

For integrating Microsoft Azure Cosmos DB with other Azure products or other products, there are a couple of challenges with the current system. Right now, the vectors are stored as floating-point numbers within the NoSQL document, which makes them inefficiently large. This leads to increased storage space requirements, and searching through a vast number of documents in the vector database becomes quite costly in terms of RUs. While the integration works well, the expense associated with it is relatively high. I would really like to see a reduction in costs for their vector search, as it is currently on the expensive side. The areas for improvement in Microsoft Azure Cosmos DB are vector pricing and vector indexing patterns, which are unintuitive and not well described. I would also like to see the parameters of Fleet Spaces made more powerful, as currently, it's somewhat lightweight. I believe they've made those changes intentionally to better understand the cost model. However, we would like to take a more aggressive approach in using it. One of the most frustrating aspects of Microsoft Azure Cosmos DB right now is that you can only store one vector per document. Additionally, you must specify the configuration of that vector when you create an instance of Microsoft Azure Cosmos DB. Once the database is set up, you can't change the vector configuration, which is incredibly limiting for experimentation. You want the ability to try different settings and see how they perform, as there are numerous use cases for storing more than one vector in a document. While interoperability within the vector database is acceptable—for example, I can search for vectors—I still desire a richer set of configuration options.

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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

"Amazon Neptune as a product by AWS is exceptional because it supports multiple graph models such as RDF and property graph, and it also has support for multiple querying languages such as Gremlin, SparkQL, and OpenCypher, making it very comprehensive in supporting every requirement we had at Zetta."

"The initial setup is actually simple."

"Relational databases are never good at identifying patterns in graphs or other similar relationships, whereas Amazon Neptune is."

"The high speed of Azure Cosmos DB compared to other competitors is remarkable."

"Microsoft Azure Cosmos DB is a Microsoft solution specifically, but we can develop with different developer kits for different databases."

"Overall, I would rate it a nine out of ten with the only significant issue being the partitioning key functionality."

"Microsoft Azure Cosmos DB simplifies the process of saving and retrieving data."

"The speed is impressive, and integrating our power-up database with Kafka was an improvement."

"I like the scalability. There aren't any constraints for posting in the geolocation. I also like the SQL architecture."

"It's highly scalable and supports consistency, security, and multiple security options."

"It is integral to our business because it helps manage schema and metadata for all our documents and customers. The AI insights we glean based on Azure OpenAI also end up in Cosmos DB. We need a NoSQL store because the schema is dynamic and flexible, so Cosmos DB is a great fit. It has four nines or possibly five nines availability, excellent geo-distribution, and auto-scaling."

More Microsoft Azure Cosmos DB pros

Cons

"Amazon Neptune could improve by spreading more awareness for others to have an understanding of the solution because the technology is fairly new. The developer community and larger community do not understand it yet."

"We had a strict time constraint, and it took many sleepless nights to find information in the documentation."

"In my scenario, the integration wasn't easy because ................in Java."

"We had a strict time constraint, and it took many sleepless nights to find information in the documentation."

"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."

"Continuing to educate customers on how they can take better advantage of Microsoft Azure Cosmos DB without having to completely rewrite their entire application paradigm would be beneficial. They can help them understand that there are multiple options to interact with it. They do not necessarily have to start from scratch. They can refactor their existing application to be able to use it better."

"A way Microsoft Azure Cosmos DB could be improved is through the introduction of an access control list on a row and on a specific field within the document, rather than relying on application-level coding to manage different access control lists."

"A minor improvement would be enabling batch operations through the UI. Currently, to delete all documents in a collection, we must use an API, which some of my team finds inconvenient for admin tasks."

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

"To show this in real time, we need a live connection that automatically updates in response to new records being inserted. This automated updating feature is lacking in Microsoft Azure Cosmos DB compared to Databricks."

"The query searching functionality has some complexities and could be more user-friendly. Improvements in this area would be very helpful."

"It doesn't support all databases."

More Microsoft Azure Cosmos DB cons

Pricing and Cost Advice

"Microsoft Azure and Amazon AWS are on par for pricing and Google has been raising its prices."

"It is cost-efficient as long as you understand the right setup to optimize usage. Knowing the data needs of the organization and adjusting the Microsoft Azure Cosmos DB usage accordingly helps save costs, but if you don't know, you could end up spending more than necessary."

"The solution is very expensive."

"Cosmos DB is a managed offering, so its cost is understandably higher."

"This cost model is beneficial because it allows for cost control by limiting resource units (RUs), which is ideal. However, for our needs, we can't engage with their minimum pricing, which ranges from 100 to 1,000 RUs. At the bare minimum, we need to use 4,000 RUs for a customer. I would like to find a way to gain some advantages from the lowest tier, particularly the ability to scale down if necessary. It would be helpful to have more flexibility in cost management at the lower end."

"Its price is very good for the basic stuff. When you go to a more complicated use case, especially when you need replication and availability zones, it gets a little costly."

"Cosmos DB is expensive compared to any virtual machine based on conventional RDBMS like MySQL or PostgreSQL."

"You need to understand exactly the details of how the pricing works technically to stay within reasonable pricing."

"Its price is in the middle, neither too low nor too high."

More Microsoft Azure Cosmos DB pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

21%

University

14%

Computer Software Company

11%

Insurance Company

Legal Firm

12%

Financial Services Firm

10%

Comms Service Provider

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	33
Midsize Enterprise	22
Large Enterprise	58

Questions from the Community

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

The cost aspects were managed by our SRE team who provisioned the instances. The pricing structure is similar to how EC2 instance pricing varies. I was informed that it was somewhat expensive, thou...

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What needs improvement with Amazon Neptune?

The main issue was the limited community of Amazon Neptune users, which meant everything needed to be explored independently. Although this was adventurous, it required more time investment in the ...

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What is your primary use case for Amazon Neptune?

We managed traffic at Zetta, and traffic would be moving between multiple services in our microservice architecture. Because of this setup, we were using Amazon Neptune to understand how many reque...

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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?

Microsoft Azure Cosmos DB's pricing model has aligned with my budget expectations because I can tune the RU as I need to, which helps a lot. Microsoft Azure Cosmos DB's dynamic auto-scale or server...

See all answers

What needs improvement with Microsoft Azure Cosmos DB?

I have not utilized Microsoft Azure Cosmos DB multi-model support for handling diverse data types. I'm not in the position to decide if clients will use Microsoft Azure Cosmos DB or any other datab...

See all answers

Comparisons

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Compared 27% of the time

MongoDB Atlas vs Amazon Neptune

Compared 20% of the time

Amazon DynamoDB vs Amazon Neptune

Compared 11% of the time

Amazon DocumentDB vs Amazon Neptune

Compared 8% of the time

Amazon Timestream vs Amazon Neptune

Compared 8% of the time

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Pinecone vs Microsoft Azure Cosmos DB

Compared 6% of the time

Amazon DynamoDB vs Microsoft Azure Cosmos DB

Compared 6% of the time

MongoDB Atlas vs Microsoft Azure Cosmos DB

Compared 5% of the time

MongoDB Enterprise Advanced vs Microsoft Azure Cosmos DB

Compared 5% of the time

Neo4j AuraDB vs Microsoft Azure Cosmos DB

Compared 3% of the time

More Microsoft Azure Cosmos DB Competitors

Product Reports

Buyer's Guide

Amazon Neptune

March 2026

Download Amazon Neptune product report

Buyer's Guide

Microsoft Azure Cosmos DB

March 2026

Download Microsoft Azure Cosmos DB product report

Also Known As

No data available

Microsoft Azure DocumentDB, MS Azure Cosmos DB

Overview

Amazon Neptune is a fast, reliable, fully managed graph database service that makes it easy to build and run applications that work with highly connected datasets. The core of Amazon Neptune is a purpose-built, high-performance graph database engine optimized for storing billions of relationships and querying the graph with milliseconds latency. Amazon Neptune supports popular graph models Property Graph and W3C's RDF, and their respective query languages Apache TinkerPop Gremlin and SPARQL, allowing you to easily build queries that efficiently navigate highly connected datasets. Neptune powers graph use cases such as recommendation engines, fraud detection, knowledge graphs, drug discovery, and network security.

Amazon Neptune is highly available, with read replicas, point-in-time recovery, continuous backup to Amazon S3, and replication across Availability Zones. Neptune is secure with support for HTTPS encrypted client connections and encryption at rest. Neptune is fully managed, so you no longer need to worry about database management tasks such as hardware provisioning, software patching, setup, configuration, or backups.

Amazon Web Services (AWS)

Microsoft Azure Cosmos DB offers scalable, geo-replicated, multi-model support with high performance and low latency. It provides seamless Microsoft service integration, benefiting those needing flexible NoSQL, real-time analytics, and automatic scaling for diverse data types and quick global access.

Azure Cosmos DB is designed to store, manage, and query large volumes of both unstructured and structured data. Its NoSQL capabilities and global distribution are leveraged by organizations to support activities like IoT data management, business intelligence, and backend databases for web and mobile applications. While its robust security measures and availability are strengths, there are areas for improvement such as query complexity, integration with services like Databricks and MongoDB, documentation clarity, and performance issues. Enhancements in real-time analytics, API compatibility, cross-container joins, and indexing capabilities are sought after. Cost management, optimization tools, and better support for local development also require attention, as do improvements in user interface and advanced AI integration.

What are the key features of Azure Cosmos DB?

Scalability: Effortlessly handles scaling for large workloads.
Geo-replication: Provides global data access with low latency.
Multi-model Support: Compatible with diverse data types.
NoSQL Flexibility: Offers a non-relational database experience.
Real-time Analytics: Facilitates data-driven decision-making.
Automation: Simplifies scaling and maintenance processes.

What benefits can users expect from Cosmos DB?

High Performance: Ensures rapid processing and low latency.
Ease of Use: Features a user-friendly interface enhancing deployment speed.
Seamless Integration: Connects effortlessly with Microsoft services.
Security: Offers robust measures to protect data integrity.
Consistent Availability: Ensures continuous access to data worldwide.

Industries use Azure Cosmos DB to support business intelligence and IoT data management, using its capabilities for backend databases in web and mobile applications. The platform's scalability and real-time analytics benefit sectors like finance, healthcare, and retail, where managing diverse datasets efficiently is critical.

Microsoft

Sample Customers

Intuit, Pearson, Samsung, Ignition One, Lifeomic, Blackfynn, Paysense

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

Buyer's Guide

Amazon Neptune vs. Microsoft Azure Cosmos DB

March 2026

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