Microsoft Azure Cosmos DB vs Supabase Vector comparison

Microsoft and Supabase are both solutions in the Vector Databases category. Microsoft is ranked #1 with an average rating of 8.3, while Supabase is ranked #13 with an average rating of 9.0. Microsoft holds a 5.0% mindshare in VD, compared to Supabase’s 10.0% mindshare. Additionally, 95% of Microsoft users are willing to recommend the solution, compared to 100% of Supabase users who would recommend it.

Microsoft Azure Cosmos DB

Read 102 Microsoft Azure Cosmos DB reviews

7,774 Views
3,187 Comparison Views

95% willing to recommend

Supabase Vector

Read 3 Supabase Vector reviews

1,973 Views
1,973 Comparison Views

100% willing to recommend

Microsoft Azure Cosmos DB

Supabase Vector

Comparison Buyer's Guide

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Executive SummaryUpdated on Jul 13, 2025

Microsoft Azure Cosmos DB and Supabase Vector compete in the database management space, offering distinct functionalities suited for different needs. Microsoft Azure Cosmos DB holds an advantage in global distribution and multi-model support, meeting enterprise needs for reliability and scalability. Supabase Vector stands out with its open-source nature and feature set, being more cost-effective for smaller-scale operations.

Features: Microsoft Azure Cosmos DB includes global distribution, advanced security options, and multiple data model support, designed for high availability and elasticity. Supabase Vector offers simplified database management, strong integration capabilities, and a developer-friendly approach.

Ease of Deployment and Customer Service: Microsoft Azure Cosmos DB streamlines deployment with a cloud-centric model and comprehensive support options, preferred for consistent performance at scale. Supabase Vector provides an intuitive deployment process, customization scope, and community-driven support.

Pricing and ROI: Microsoft Azure Cosmos DB uses a consumption-based model, scalable but may be expensive for extensive use, with favored ROI in large-scale implementations. Supabase Vector provides a more budget-friendly pricing model with lower setup costs, appealing to smaller teams for efficient resource utilization. While Cosmos DB offers strong ROI in large deployments, Supabase Vector presents a compelling ROI for smaller ventures.

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

Buyer's Guide

Microsoft Azure Cosmos DB vs. Supabase Vector

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 Vector Databases

1st

Average Rating

8.2

Reviews Sentiment

7.0

Number of Reviews

102

Ranking in other categories

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

Supabase Vector

Ranking in Vector Databases

13th

Average Rating

9.0

Reviews Sentiment

5.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of October 2025, in the Vector Databases category, the mindshare of Microsoft Azure Cosmos DB is 5.0%, up from 0.5% compared to the previous year. The mindshare of Supabase Vector is 10.0%, up from 0.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Vector Databases Market Share Distribution
Product	Market Share (%)
Microsoft Azure Cosmos DB	5.0%
Supabase Vector	10.0%
Other	85.0%

Vector 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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Kaustubh Sule

Co-Founder • Full Stack Developer at Padhakoo

Easy to use, and there is no need to get involved in any tedious deployment process

If you are a business building a social media app, there will be thousands of users for every such app. Each user will have a post or something. When multiple users try to hit the like button on your post or try to comment on your post, each of them would be an API request, and Supabase Vector does not charge for them like. The API requests are kind of unlimited. If you compare Supabase Vector to any of the other services like Firebase, AWS, or Azure, all the tools charge per request. From a scalability standpoint, if you are a small-scale startup and you have around 1,00,000 or 2,00,000 users, then Supabase Vector is a perfect choice for you. I have never heard about any scalability issues in the product. Scalability-wise, I rate the solution a ten of ten.

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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

"With Azure you can start small and grow as you need."

"I would rate Microsoft Azure Cosmos DB a ten out of ten."

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

"Cosmos is preferred because of its speed, robustness, and utilization. We have all the merchandising information in Cosmos DB, which provides concrete and optimized data when searching for new products on the site. It is faster than other relational databases."

"Microsoft Azure Cosmos DB offers exceptional stability, boasting a reliability rating of 99.95 percent."

"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 handles large-scale operations efficiently, such as tracking views, logs, or events."

"Microsoft Azure Cosmos DB helped improve our organization's search result quality significantly when we started using it about eight years ago."

More Microsoft Azure Cosmos DB pros

"Supabase enables us to lower the skill floor while keeping the ceiling high."

"The tool is easy to use."

"The platform's role-level security feature is quite effective for spatial data management."

"Supabase enables us to lower the skill floor while keeping the ceiling high."

Cons

"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."

"Overall, it is a good resource. I am not aware of the background, but it seems to currently support only JSON documents."

"We had to go to forums to check if it was failing for everyone else. It was surprising that a large organization like Microsoft doesn't provide an official statement about the maintenance or issues that could impact our overall usage."

"We would like to see advancements in AI with the ability to benchmark vector search capabilities, ensuring it answers questions accurately. During our initial implementation, we faced challenges with indexing and sorting, which are natively available in other offerings but required specific configurations in Cosmos."

"At this stage, we would like more enterprise support. We use MongoDB a lot, and we're trying to get rid of MongoDB. So, I would like to see more features in the Cosmos DB API for MongoDB space."

"Currently, it doesn't support cross-container joins, forcing developers to retrieve data from each container separately and combine it using methods like LINQ queries."

"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."

"I hope they improve the service. Before last year, improvements on Cosmos DB were very slow."

More Microsoft Azure Cosmos DB cons

"I think there are still many Postgres features that can be developed further by the Supabase team."

"One area for the solution improvement is the inclusion of more sample code in various programming languages, particularly PHP."

"The support for React Native CLI is an area with certain shortcomings where improvements are required."

"I think there are still many Postgres features that can be developed further by the Supabase team."

Pricing and Cost Advice

"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."

"Pricing is mid- to high-end."

"The pricing and licensing model was initially difficult to understand, but as soon as I learned what was going on and how it was priced, it was pretty easy."

"For the cloud, we don't pay for the license, but for the on-prem versions, we do pay."

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

"Pricing, at times, is not super clear because they use the request unit (RU) model. To manage not just Azure Cosmos DB but what you are receiving for the dollars paid is not easy. It is very abstract. They could do a better job of connecting Azure Cosmos DB with the value or some variation of that."

"Right now, I have opted for the student subscription plan, for which Microsoft charges me around 100 USD. The pricing of the solution depends on the solution's usage."

"Pricing is one of the solution's main features because it is based on usage, scales automatically, and is not too costly."

More Microsoft Azure Cosmos DB pricing and cost advice

"As per the product's regular pricing plans, the tools are available to users for 20 to 25 USD per month."

"The solution's cost is reasonable compared to other solutions."

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Top Industries

By visitors reading reviews

Legal Firm

13%

Financial Services Firm

10%

Comms Service Provider

10%

Computer Software Company

Comms Service Provider

16%

Computer Software Company

Manufacturing Company

Retailer

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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

No data available

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?

The pricing for Microsoft Azure Cosmos DB is good, but there is a developer factor to consider. It could be economical or expensive depending on usage. Guidance about query consumption of Request U...

See all answers

What needs improvement with Microsoft Azure Cosmos DB?

In terms of improvement for Microsoft Azure Cosmos DB, while it eliminates the burden of managing database infrastructure, we realized it might not be possible to use various models simultaneously ...

See all answers

What is your experience regarding pricing and costs for Supabase Vector?

The price is good.

See all answers

What needs improvement with Supabase Vector?

I think there are still many Postgres features that can be developed further by the Supabase team.

See all answers

What is your primary use case for Supabase Vector?

I am exploring Supabase for my project on UMKM.

See all answers

Comparisons

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Compared 10% of the time

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Compared 9% of the time

MongoDB Enterprise Advanced vs Microsoft Azure Cosmos DB

Compared 7% of the time

Neo4j Graph Database vs Microsoft Azure Cosmos DB

Compared 6% of the time

Amazon DynamoDB vs Microsoft Azure Cosmos DB

Compared 6% of the time

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Compared 33% of the time

Pinecone vs Supabase Vector

Compared 20% of the time

Chroma vs Supabase Vector

Compared 10% of the time

Milvus vs Supabase Vector

Compared 8% of the time

LanceDB vs Supabase Vector

Compared 2% of the time

More Supabase Vector Competitors

Product Reports

Buyer's Guide

Microsoft Azure Cosmos DB

September 2025

Download Microsoft Azure Cosmos DB product report

Buyer's Guide

Vector Databases

September 2025

Download Supabase Vector 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

Supabase Vector offers an efficient way to manage and query vector embeddings, catering to the needs of developers and data scientists seeking scalable solutions for vector-based data handling.

Supabase Vector is designed to streamline the process of storing, managing, and querying vector embeddings, essential for applications like machine learning algorithms and personalized recommendations. Its intuitive API and integration capabilities make it a preferred choice for tech professionals seeking a reliable backend for their vector data requirements. With flexible storage options and robust querying features, it accommodates the dynamic demands of AI-driven projects.

What are its key features?

Seamless Integration: Connects effortlessly with databases, making it simple to incorporate into existing projects.
Scalable Storage: Allows for efficient storage of large volumes of vector data, accommodating growth in usage.
Flexible Queries: Supports complex queries, facilitating advanced data analysis and insights.
Real-Time Updates: Ensures that data remains current with instantaneous updates.
Developer-Friendly: Comes with comprehensive documentation and an intuitive API for ease of use.

What benefits or ROI should users look for?

Increased Efficiency: Streamlines data management, reducing time spent on backend development.
Cost Effectiveness: Offers scalable options that can save on infrastructure and maintenance costs.
Enhanced Accuracy: Delivers precise query results, improving decision-making processes.
Improved Developer Productivity: Simplifies complex tasks, allowing developers to focus on more critical activities.

Supabase Vector can be particularly beneficial in industries such as e-commerce for personalized product recommendations, in finance for fraud detection through pattern analysis, and in healthcare for patient data insights. Its capability to handle diverse sets of embeddings makes it versatile across different sectors needing robust data processing tools.

Supabase

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. Supabase Vector

September 2025

Free Report: Microsoft Azure Cosmos DB vs. Supabase Vector

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