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Microsoft Azure Cosmos DB vs Pinecone comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 5, 2025

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
3rd
Average Rating
8.2
Reviews Sentiment
7.2
Number of Reviews
85
Ranking in other categories
Database as a Service (DBaaS) (6th), NoSQL Databases (3rd), Managed NoSQL Databases (1st)
Pinecone
Ranking in Vector Databases
7th
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
6
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of April 2025, in the Vector Databases category, the mindshare of Microsoft Azure Cosmos DB is 2.5%. The mindshare of Pinecone is 7.7%, down from 8.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Vector Databases
 

Featured Reviews

MichaelJohn - PeerSpot reviewer
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.
Aakash Kushwaha - PeerSpot reviewer
Helps retrieve data, relatively cheaper, and provides useful documentation
Suppose I want to delete a vector from Pinecone or a multi-vector from a single document. Pinecone does not provide feedback on whether a document is deleted or not. In SQL and NoSQL databases, if we delete something, we get a response that it is deleted. The tool does not confirm whether a file is deleted or not. I have raised the issue with support. If we have 10,000 vectors in our index and do not use a metadata tag, it will take one to three seconds to complete a search. When I try to search using a metadata tag, the speed is still the same. The search speed must be much faster because I specify which vectors I need the data from.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"It works reasonably fast. You can retain the original format of the document as received by the third-party system."
"The high speed of Azure Cosmos DB compared to other competitors is remarkable."
"One of the nice features is the ability to auto-scale"
"The autoscale feature is the most useful for us."
"The global synchronization feature of Azure Cosmos DB stands out as the most valuable for me."
"The most valuable feature of the solution is that it is scalable with multiple master files."
"The solution is used because we get faster response times with large data sets than with SQL. It's essential for us because we have half a billion rows, and we need to return them quickly."
"We love the ability to land data with Cosmos DB easily. Cosmos is native to Azure, so everything works seamlessly with it. You need good data to have good AI, and Cosmos makes it easy to land the data."
"We chose Pinecone because it covers most of the use cases."
"The semantic search capability is very good."
"The most valuable feature of Pinecone is its managed service aspect. There are many vector databases available, but Pinecone stands out in the market. It is very flexible, allowing us to input any kind of data dimensions into the platform. This makes it easy to use for both technical and non-technical users."
"The most valuable features of the solution are similarity search and maximal marginal relevance search for retrieval purposes."
"The product's setup phase was easy."
"The best thing about Pinecone is its private local host feature. It displays all the maintenance parameters and lets us view the data sent to the database. We can also see the status of the CD and which application it corresponds to."
 

Cons

"The customer service is lacking. We have a premier support agreement, but support is hit and miss."
"I don't think Cosmos DB has improved our organization. People are using it, but I'm not sure it's the best solution. For one, it's costly. Also, there are other issues with it. You cannot get all the records simultaneously. You can only get it in chunks of 1,500 maximum."
"One of our biggest pain points is the backup and restore functionality needs improvement."
"The integration of the on-premise solution with the cloud can be difficult sometimes."
"From about half a billion rows, we're returning maybe 20,000 in two or three minutes. We don't know why, but we are working with Microsoft and a third party to figure that out."
"Because there is no local way of doing things, Azure Cosmos DB will always be considered expensive."
"Better documentation on how to integrate with other components would be helpful because I was struggling with this."
"In that scenario, two things can be improved."
"Onboarding could be better and smoother."
"The tool does not confirm whether a file is deleted or not."
"Pinecone can be made more budget-friendly."
"I want to suggest that Pinecone requires a login and API key, but I would prefer not to have a login system and to use the environment directly."
"The product fails to offer a serverless type of storage capacity."
"For testing purposes, the product should offer support locally as it is one area where the tool has shortcomings."
 

Pricing and Cost Advice

"The pricing for Cosmos DB has improved, particularly with the new pricing for Autoscale."
"Cosmos DB is expensive, and the RU-based pricing model is confusing. Although they have a serverless layer, there are deficiencies in what I can define and assign to a database. Estimating infrastructure needs is not straightforward, making it challenging to manage costs."
"Our experience with the pricing and setup cost is that it aligns with what we expect based on the pricing we see. However, I would absolutely like it to be less if possible."
"Cosmos DB is cost-effective when starting but requires careful management."
"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."
"Pricing is one of the solution's main features because it is based on usage, scales automatically, and is not too costly."
"The price of Microsoft Azure Cosmos DB could be a bit lower."
"Its pricing structure is quite flexible."
"The solution is relatively cheaper than other vector DBs in the market."
"I think Pinecone is cheaper to use than other options I've explored. However, I also remember that they offer a paid version."
"I have experience with the tool's free version."
"Pinecone is not cheap; it's actually quite expensive. We find that using Pinecone can raise our budget significantly. On the other hand, using open-source options is more budget-friendly."
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Top Industries

By visitors reading reviews
Legal Firm
12%
Computer Software Company
12%
Comms Service Provider
11%
Financial Services Firm
10%
Computer Software Company
18%
Financial Services Firm
10%
University
8%
Comms Service Provider
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
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.
What is your experience regarding pricing and costs for Microsoft Azure Cosmos DB?
Its pricing is not bad. It is good. We have a contract with Microsoft to use their technology. In my opinion, Microsoft Azure Cosmos DB is a good option for the total cost of ownership.
What needs improvement with Microsoft Azure Cosmos DB?
I think Cosmos DB enhanced the benefits of NoSQL databases, offering query flexibility, partition management, and backup and restore options. These aspects are crucial, and perhaps improving the co...
What do you like most about Pinecone?
We chose Pinecone because it covers most of the use cases.
What needs improvement with Pinecone?
I want to suggest that Pinecone requires a login and API key, but I would prefer not to have a login system and to use the environment directly.
What is your primary use case for Pinecone?
I've used Pinecone to streamline token generation for my chatbot's functionality. Specifically, I used it for the OpenNeeam Building.
 

Also Known As

Microsoft Azure DocumentDB, MS Azure Cosmos DB
No data available
 

Overview

 

Sample Customers

TomTom, KPMG Australia, Bosch, ASOS, Mercedes Benz, NBA, Zero Friction, Nederlandse Spoorwegen, Kinectify
1. Airbnb 2. DoorDash 3. Instacart 4. Lyft 5. Pinterest 6. Reddit 7. Slack 8. Snapchat 9. Spotify 10. TikTok 11. Twitter 12. Uber 13. Zoom 14. Adobe 15. Amazon 16. Apple 17. Facebook 18. Google 19. IBM 20. Microsoft 21. Netflix 22. Salesforce 23. Shopify 24. Square 25. Tesla 26. TikTok 27. Twitch 28. Uber Eats 29. WhatsApp 30. Yelp 31. Zillow 32. Zynga
Find out what your peers are saying about Microsoft Azure Cosmos DB vs. Pinecone and other solutions. Updated: March 2025.
845,040 professionals have used our research since 2012.