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Aerospike Database vs Microsoft Azure Cosmos DB comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Feb 16, 2026

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

Aerospike Database
Ranking in NoSQL Databases
14th
Average Rating
8.0
Reviews Sentiment
7.8
Number of Reviews
1
Ranking in other categories
AI Security (169th)
Microsoft Azure Cosmos DB
Ranking in NoSQL Databases
2nd
Average Rating
8.2
Reviews Sentiment
6.9
Number of Reviews
109
Ranking in other categories
Database as a Service (DBaaS) (4th), Managed NoSQL Databases (1st), Vector Databases (1st)
 

Mindshare comparison

As of June 2026, in the NoSQL Databases category, the mindshare of Aerospike Database is 3.3%, down from 3.6% compared to the previous year. The mindshare of Microsoft Azure Cosmos DB is 6.2%, up from 3.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
NoSQL Databases Mindshare Distribution
ProductMindshare (%)
Microsoft Azure Cosmos DB6.2%
Aerospike Database3.3%
Other90.5%
NoSQL Databases
 

Featured Reviews

Manikandan Gunasekaran - PeerSpot reviewer
Director of Engineering at Ola
Boost authentication and session management with reliable and fast data handling
There is a lot of technical debt in our company, and we need to update to the latest versions. The lack of automation in upgrading clusters from development to production is a concern. A tool for automatically handling such upgrades would reduce operational huddle. Additionally, it would be beneficial if Aerospike had a community version to encourage broader adoption and experimentation.
reviewer2724105 - PeerSpot reviewer
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.

Quotes from Members

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

Pros

"It shows better compression and compaction, which is valuable."
"The peace of mind that Microsoft Azure Cosmos DB provides regarding global distribution is invaluable."
"I like the scalability, there aren't any constraints for posting in the geolocation, and I also like the SQL architecture."
"Microsoft Azure Cosmos DB offers the response times needed for advanced analytics applications."
"Change notification works well, and the ability to process documents in a scalable way is important. This means we can efficiently thread out different operations and meet our organizational performance and scalability needs."
"Cosmos DB's greatest strengths are its easy setup and affordability, especially for those who understand its usage."
"The solution is user friendly and Microsoft's technical support is good."
"Change feed is a pretty amazing feature. Once you make the changes, they are quickly read for you, and then you also have geo-replication. You can do a lot of things in your region, and the same regions can be replicated all over the world."
"The best features of Microsoft Azure Cosmos DB are the way it maintains the data in partitions and its retention policies."
 

Cons

"The lack of automation in upgrading clusters from development to production is a concern."
"They can implement a better backup system or alert system on Microsoft's end. We do receive notices for regular maintenance or updates, but sudden issues create significant problems."
"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 aren't any specific areas that need improvement, but if there were a way to achieve the right cosine similarity score without extensive testing, that would be very beneficial."
"Microsoft Azure Cosmos DB's performance could be better. In large volumes of documents, the querying process becomes slow and complicated."
"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."
"I hope they improve the service. Before last year, improvements on Cosmos DB were very slow."
"It is easy to use, but optimization has been a mixed experience. It has been more of trying to figure out how to do so. We have not found much support there, so we have to come up with our own way of optimizing it in different ways. That is one area of improvement."
"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."
 

Pricing and Cost Advice

"We use around half a TB of data and spend approximately $36,000 to $40,000 USD per year on Aerospike."
"It is cost-effective. They offer two pricing models. One is the serverless model and the other one is the vCore model that allows provisioning the resources as necessary. For our pilot projects, we can utilize the serverless model, monitor the usage, and adjust resources as needed."
"Microsoft Azure Cosmos DB pricing is based on RUs. Reading 1 KB document costs one RU, whereas writing one document costs five RUs. Pricing for querying depends on the complexity of the query. If you increase the document size, it will automatically increase the RU cost."
"Cosmos DB is a managed offering, so its cost is understandably higher."
"We are not consuming so much yet since we are at the beginning of using this solution. I would rate the pricing of Microsoft Azure Cosmos DB a six out of ten."
"You need to understand exactly the details of how the pricing works technically to stay within reasonable pricing."
"I would rate Cosmos DB's cost at seven out of ten, with ten being the highest."
"The RU's use case determines our license fees."
"Cosmos DB is cost-effective when starting but requires careful management."
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Top Industries

By visitors reading reviews
Financial Services Firm
16%
Computer Software Company
13%
Comms Service Provider
13%
Media Company
5%
Financial Services Firm
12%
Legal Firm
11%
Comms Service Provider
9%
Manufacturing Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business33
Midsize Enterprise22
Large Enterprise58
 

Questions from the Community

What is your experience regarding pricing and costs for Aerospike Database 7?
We use around half a TB of data and spend approximately $36,000 to $40,000 USD per year on Aerospike.
What needs improvement with Aerospike Database 7?
There is a lot of technical debt in our company, and we need to update to the latest versions. The lack of automation in upgrading clusters from development to production is a concern. A tool for a...
What is your primary use case for Aerospike Database 7?
Aerospike is mainly used as the first step for authentication, authorization, and session persistence in our organization. It is a critical part of our workflow, as without it, we wouldn't be able ...
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...
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...
What is your primary use case for Microsoft Azure Cosmos DB?
We have a very large team of developers who develop a solution for our customers. In the part where they need some infrastructure on Microsoft Azure, we deploy entire environments of different type...
 

Also Known As

No data available
Microsoft Azure DocumentDB, MS Azure Cosmos DB
 

Overview

 

Sample Customers

AppNexus, Adform, KAYAK, Williams-Sonoma Inc., The Trade Desk, GREE, BlueKai, Chango CTO, InMobi, Yashi, eXelate CTO, Snapdeal, adMarketplace, Tapad, Komli Media, Neustar, So-net Media Networks, IMHO Vi, Vizury
TomTom, KPMG Australia, Bosch, ASOS, Mercedes Benz, NBA, Zero Friction, Nederlandse Spoorwegen, Kinectify
Find out what your peers are saying about MongoDB, Microsoft, Redis and others in NoSQL Databases. Updated: May 2026.
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