Amazon Timestream 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 #7 with an average rating of 9.0, while Microsoft is ranked #1 with an average rating of 8.3. Amazon Web Services (AWS) holds a 4.8% mindshare in MND, compared to Microsoft’s 15.3% 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 Timestream

Read 5 Amazon Timestream reviews

1,059 Views
1,059 Comparison Views

100% willing to recommend

Microsoft Azure Cosmos DB

Read 110 Microsoft Azure Cosmos DB reviews

16,901 Views
5,915 Comparison Views

95% willing to recommend

Amazon Timestream

Microsoft Azure Cosmos DB

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Executive SummaryUpdated on Jan 25, 2026

Microsoft Azure Cosmos DB and Amazon Timestream are competing in the data management space. Cosmos DB holds an advantage due to its comprehensive feature set, appealing to diverse applications, while Amazon Timestream excels in time-series data analytics.

Features: Microsoft Azure Cosmos DB provides global distribution, multi-model support, and horizontal scaling, along with a comprehensive set of APIs enabling flexibility and powerful querying capabilities. Amazon Timestream focuses on specialized time-series data capabilities, offering real-time analytics and functions suited for IoT and industrial applications.

Room for Improvement: Microsoft Azure Cosmos DB could improve by offering more cost-effective pricing for small-scale use, enhancing integration with non-Microsoft tools, and simplifying its complex configuration settings. Amazon Timestream might expand to support more diverse data models, increase its scalability for larger datasets, and improve support for more varied industry use-cases beyond IoT and industrial applications.

Ease of Deployment and Customer Service: Microsoft Azure Cosmos DB provides global distribution and comprehensive support options, allowing for solution tailoring as needed. Its streamlined deployment model supports complex, globally distributed solutions. Amazon Timestream focuses on a managed service model with efficient deployment for immediate time-series data needs, emphasizing simplicity and quick setup.

Pricing and ROI: Microsoft Azure Cosmos DB's pricing is based on throughput and storage across regions, potentially leading to higher costs for global scalability but delivering substantial ROI for diverse use cases. Amazon Timestream, with a cost model based on ingested and queried data, offers a cost-effective choice for specific time-series analytics, though its cost efficiency is best realized for time-series functions.

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

Buyer's Guide

Amazon Timestream vs. Microsoft Azure Cosmos DB

June 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 Timestream

Ranking in Managed NoSQL Databases

7th

Average Rating

9.0

Reviews Sentiment

6.9

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

7.0

Number of Reviews

110

Ranking in other categories

Database as a Service (DBaaS) (3rd), NoSQL Databases (1st), Vector Databases (1st)

Mindshare comparison

As of August 2026, in the Managed NoSQL Databases category, the mindshare of Amazon Timestream is 4.8%, down from 6.9% compared to the previous year. The mindshare of Microsoft Azure Cosmos DB is 15.3%, down from 16.9% 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	15.3%
Amazon Timestream	4.8%
Other	79.9%

Managed NoSQL Databases

Featured Reviews

Sushil Pandey

Data Engineer at Tiger Analytics

It is helpful to get telemetry data from the devices in real-time

It is an easily scalable solution. When it comes to the retention period, if someone wants to change, they have to define it at the start. Later on, if users want to change it again, like, or increase the retention policy, then they have to create the table again and do so, and if it is not done, then we face problems. It will increase the retention, but when you try to insert a record or an older record that is not included in the range of your retention period, then you can face some problems and, like, it will throw some errors. The tool is scalable, but it should be defined at the start as to how much retention you want. For scalability, I rate the tool a six or seven out of ten.

Read full review

Michael Hasenfang

Director, Platform Engineering - Infrastructure Systems and Automation at a computer software company with 1,001-5,000 employees

Collecting compliance data has become more efficient while managing unstructured inputs for reporting

The features that I find most valuable within Microsoft Azure Cosmos DB are probably the cost, as the cost optimization is good. The storage and queryability are good for what we're doing; it's a lot of unstructured data, so having a platform to put that in and then be able to harvest that data out for the reporting we do is essential. In terms of cost saving, it was probably easily 30 to 40% cheaper than doing a standard SQL, which is what we saw just on piloting and getting in there. We were initially thinking 20 to 25%, but we were probably more at the 35 to 40%. We are using Microsoft Azure Cosmos DB's hybrid search today. The value that it has added to my AI or search workloads is that I think it's optimized that process and made it easier. We have a lot of unstructured data coming from different dissimilar systems and different data sources, so correlating those things together and making sense of it has been very beneficial. Microsoft Azure Cosmos DB has had pretty good performance with searching through large amounts of data; it's been fast, and we haven't seen a lot of performance degradation while building larger queries and bringing in a large set of data. The dynamic auto-scale or serverless model from Microsoft Azure Cosmos DB has helped reduce costs and operational effort; however, it's hard to quantify how that plays out since you're using a shared service. It shifts my focus away from building, managing, and upgrading to adding value.

Read full review

Quotes from Members

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

Pros

"What I like best is that the tool is easy to collect and store data and is fast and scalable. The fully managed database is easy to understand."

"If you drop a message, the solution's technical support will definitely reply."

"Using Amazon Timestream has been seamless due to its integration within the AWS ecosystem and ease of use for the engineering team."

"You can quickly aggregate data from the last ten years with Amazon Timestream."

"The best things about Amazon Timestream are it's maintenance-free, customizable, and has no lag issues. It's always real-time."

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

"Azure Cosmos DB offers efficient indexing and low search latency, making searching fast and efficient and ensuring peace of mind in database operations."

"I would recommend Cosmos. It made our lives a lot easier. There's not a big learning curve in order to understand the structure and how to use it."

"Cosmos DB is stable and easy to use."

"The feature I have found most valuable in Microsoft Azure Cosmos DB is its scalability and speed."

"As a NoSQL database, it offers schema flexibility which simplifies design and reduces initial engineering overhead."

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

"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."

More Microsoft Azure Cosmos DB pros

Cons

"The tool could be improved by increasing the batch size from one hundred records to five hundred or a thousand to speed up indexing."

"Arranging the database schema is a bit challenging."

"There are disadvantages when it comes to time series databases since you can't delete anything from Amazon Timestream data."

"The solution could be improved by making it easier for new graduates like me to use. Better explanations of queries and how to use them with other AWS services would help."

"There are certain features that we would like to see added and we are collaborating with the product teams on these areas."

"The operational complexity of Microsoft Azure Cosmos DB can be challenging for individuals who are not tech-savvy."

"The solution cannot join two databases like Oracle or SQL Server."

"We'd like to avoid full DR replication if possible, as this would result in significant cost savings."

"Microsoft Azure Cosmos DB's performance could be better. In large volumes of documents, the querying process becomes slow and complicated."

"I have to say technical support is not very good as it takes too long. Sometimes it can take them two or three days to respond to your ticket."

"I think it could be better if it included more in regards to AI or if it were more exposed to AI."

"Areas of improvement for Microsoft Azure Cosmos DB include indexing. While it makes data retrieval easier, it also increases costs. If there's a better way to improve indexing at a lower cost, that would be really helpful, but that's the major point for now."

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

More Microsoft Azure Cosmos DB cons

Pricing and Cost Advice

"We don't see high costs with Amazon Timestream, which may vary by company."

"Amazon Timestream's pricing seems manageable to me."

"We pay over $10 million a year to Amazon."

"For 1GB of data, the solution charges $ 0.01 in the US region."

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

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

"It is expensive. The moment you have high availability options and they are mixed with the type of multitenant architecture you use, the pricing is on the higher end."

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

"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."

"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."

"Cosmos DB is a highly cost-optimized solution when used correctly."

"The pricing is perceived as being on the higher side. However, if you have large data operations, it might reduce costs due to performance efficiencies."

More Microsoft Azure Cosmos DB pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

14%

Computer Software Company

12%

Manufacturing Company

12%

Educational Organization

Financial Services Firm

11%

Legal Firm

11%

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	24
Large Enterprise	58

Questions from the Community

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

Amazon Timestream's pricing seems manageable to me.

See all answers

What needs improvement with Amazon Timestream?

We are working on a few open change requests with the engineering teams on AWS's side. There are certain features that we would like to see added and we are collaborating with the product teams on ...

See all answers

What is your primary use case for Amazon Timestream?

We use Amazon Timestream as a data historian for IT data. It stores all individual measurements of our customers' IoT devices for a certain period of time, allowing them to perform time-series-base...

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

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...

See all answers

Comparisons

Amazon DynamoDB vs Amazon Timestream

Compared 22% of the time

MongoDB Atlas vs Amazon Timestream

Compared 18% of the time

Amazon DocumentDB vs Amazon Timestream

Compared 14% of the time

Amazon Neptune vs Amazon Timestream

Compared 8% of the time

MongoDB Enterprise Advanced vs Amazon Timestream

Compared 8% of the time

More Amazon Timestream Competitors

MongoDB Atlas vs Microsoft Azure Cosmos DB

Compared 7% of the time

PostgreSQL vs Microsoft Azure Cosmos DB

Compared 6% of the time

MongoDB Enterprise Advanced vs Microsoft Azure Cosmos DB

Compared 5% of the time

Redis vs Microsoft Azure Cosmos DB

Compared 4% of the time

Pinecone vs Microsoft Azure Cosmos DB

Compared 4% of the time

More Microsoft Azure Cosmos DB Competitors

Product Reports

Buyer's Guide

Managed NoSQL Databases

August 2026

Download Amazon Timestream product report

Buyer's Guide

Microsoft Azure Cosmos DB

July 2026

Download Microsoft Azure Cosmos DB product report

Also Known As

No data available

Microsoft Azure DocumentDB, MS Azure Cosmos DB

Overview

Amazon Timestream is a fully managed, maintenance-free database offering real-time data handling and seamless long-term data aggregation without merge operations, enhancing scalability and speed for IT environments and IoT data.

This service is customizable and user-friendly, making it a preferred choice for managing time-series data efficiently. Users find it beneficial for real-time analytics, monitoring application health, and automating data pipelines. While data charge management and schema design require attention, active collaboration with AWS is ongoing for feature improvements. Increasing batch size for indexing and simplifying the interface are areas identified for enhancement. The database's scalability is highly appreciated, allowing easy management of data collection and storage.

What are the key features of Amazon Timestream?

Maintenance-Free: Eliminates the need for database maintenance tasks.
Customizable: Offers flexible configurations to fit diverse data needs.
Real-Time Data Handling: Processes data instantly for up-to-the-minute insights.
Seamless Data Aggregation: Efficiently aggregates data over extended periods.
No Merge Operations: Simplifies data updating and management processes.
Scalability: Supports growth with efficient data storage and collection.

Why should users consider Amazon Timestream for their data needs?

Easy Implementation: Simplifies deployment with a user-friendly interface.
Efficient Data Storage: Quickly stores and retrieves large volumes of time-series data.
Enhanced Analytics: Provides tools for in-depth real-time analysis.
Scalable Solutions: Easily adapts to evolving data metrics and usage.
IoT Device Compatibility: Collects and analyzes data from numerous IoT devices.

Industries use Amazon Timestream to manage real-time analytics and application health monitoring. It tracks customer data size, automates pipelines, and supports time-series analyses for scaling. Organizations employ it for telemetry data management, queried in projects like microgrid solar energy, acting as a data historian for storing IoT device measurements.

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

Expedia, Intuit, Royal Dutch Shell, Brooks Brothers

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

Buyer's Guide

Amazon Timestream vs. Microsoft Azure Cosmos DB

June 2026

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