Amazon DynamoDB vs Google Cloud Bigtable vs Microsoft Azure Cosmos DB comparison

Amazon Web Services (AWS) and Google are both solutions in the Managed NoSQL Databases category. Amazon Web Services (AWS) is ranked #2 with an average rating of 8.3, while Google is ranked #8 with an average rating of 9.7. Amazon Web Services (AWS) holds a 17.6% mindshare in MND, compared to Google’s 5.2% mindshare. Additionally, 97% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 100% of Google users who would recommend it.

Amazon DynamoDB

Read 43 Amazon DynamoDB reviews

1,704 Views
1,430 Comparison Views

97% willing to recommend

Google Cloud Bigtable

Read 6 Google Cloud Bigtable reviews

909 Views
514 Comparison Views

100% willing to recommend

Microsoft Azure Cosmos DB

Read 87 Microsoft Azure Cosmos DB reviews

2,870 Views
1,067 Comparison Views

95% willing to recommend

Amazon DynamoDB

Google Cloud Bigtable

Microsoft Azure Cosmos DB

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Executive Summary

We performed a comparison between Amazon DynamoDB, Google Cloud Bigtable, and Microsoft Azure Cosmos DB based on real PeerSpot user reviews.

Find out what your peers are saying about Microsoft, Amazon Web Services (AWS), MongoDB and others in Managed NoSQL Databases.

To learn more, read our detailed Managed NoSQL Databases Report (Updated: April 2025).

Buyer's Guide

Managed NoSQL Databases

April 2025

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Helped 848,716 peers since 2012

Review summaries and opinions

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

Mindshare comparison

As of April 2025, in the Managed NoSQL Databases category, the mindshare of Amazon DynamoDB is 17.6%, down from 26.1% compared to the previous year. The mindshare of Google Cloud Bigtable is 5.2%, down from 9.9% compared to the previous year. The mindshare of Microsoft Azure Cosmos DB is 15.5%, down from 18.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Managed NoSQL Databases

Featured Reviews

Prabin Silwal

Senior Engineering Consultant at ASSURANCE IQ, INC.

Offers exceptional performance to users

Previously, when in my company, we used to store 64 KB of data, we used to get problems and errors, and due to such reason, at such a point in time, we had to find a different storage system or modify the system so that the size of the value is not more than 64 KB. The main aforementioned issue in the tool can be considered for improvement for Amazon DynamoDB. In our company, we have some data which can be stored as we want. Previously, only 64 KB could be used, and later, I think, it was about 400 KB. If the tool could have an additional 10 MB to offer, then the tool could be easier to use. The tool is a key value storage, where the key will be long. In terms of value, we couldn't store more than 64 kb previously in the tool, but later on, it was increased to 400 KB, which is a limitation that I don't like in the tool.

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Aakash Sharma

Senior Technical Architect at HCL Technologies

Great for streaming data and being a managed service is an advantage

Our primary use case is for analytics, analyzing the data sets and curing Bigtable is very user-friendly where streaming data is required. I think it's relatively easier to use than Ascentra. The fact that it's a managed service is an advantage. The cost of this product is too expensive.…

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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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Quotes from Members

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

Pros

"Amazon DynamoDB is serverless and fast, and we can use different keys along with it in our code."

"Speed is the most valuable feature. The speed to store and retrieve data from it."

"The latency feature is precious."

"Its scalability is really good. I can go up to a petabyte of data. It is more of an on-demand use case. I can go from 100 MB to 1 PB if I want, which is very good. Most of the other databases would want you to stick to a specific data allocation. Its subscription cost is lower than similar databases offered by other vendors."

"Never used the support. I got all the information from the documentation."

"Amazon DynamoDB allows you to configure your read-write capacity and create a single global table that can be accessed with any other region."

"It offers quick performance and rapid data retrieval, often providing limited data initially but scaling up to fulfill larger demands seamlessly."

"It is a NoSQL product."

More Amazon DynamoDB pros

"It's very user-friendly where streaming data is required."

"The solution is very convenient."

"Bigtable is faster than other competitors in the market. It helps us collate all the data, and the security features are great. The latency is low, and the computation speed is fantastic. Bigtable is also a managed service, so you don't have to worry about anything aside from analyzing the data ingested."

"Scalability-wise, I rate the solution a ten out of ten."

"Stability-wise, it is a simple solution. I rate the solution's stability a ten out of ten."

"The most valuable feature is the backup and replication service."

"The latency and availability of Microsoft Azure Cosmos DB are fantastic."

"The most valuable feature of Microsoft Azure Cosmos DB is its ability to handle concurrency and consistency."

"Cosmos DB makes life easier because if we want to use Mongo-type data, or Cassandra-type data, or maybe even just a simple cable storage-type data, then graph, there are multiple ways to do this."

"The features most valuable to us in Microsoft Azure Cosmos DB are the auto scale and change feed. These features allow us to do some operations that are not possible with SQL Server."

"It is easy to use because you don't need to know much about Cosmos DB or have prior experience."

"Cosmos is a PaaS, so you don't need to worry about infrastructure and hosting. It has various APIs that allow it to integrate with other solutions. For example, we are using a MongoDB-compatible API for customers, which makes it easier for developers on the team who previously used MongoDB or are accustomed to the old document storage paradigm."

"Microsoft Azure Cosmos DB offers the response times needed for advanced analytics applications."

"Scaling the workloads is one of the key advantages of Cosmos, preventing the database from becoming a performance bottleneck."

More Microsoft Azure Cosmos DB pros

Cons

"The response time for data queries should be less than a second"

"The solution's efficiency and performance should be faster than other databases."

"The solution's backup and restore could be improved to be able to utilize batch operations."

"They could provide more information or training programs to deliver knowledge to the engineers about the components of relational databases similar to popular vendors."

"It would be nice to have some AI features in DynamoDB."

"The solution would work fast if a contact center is in the same region."

"The solution could be cheaper."

"I'd like to see better integration with Cognito. It has the integration, but I'd like to see a little more ease of setup. If you have multiple customers and you want the database to enforce who can see what, you can treat DynamoDB so that each row has permissions. You can set this up, but it's a little more of a science project to make Cognito and DynamoDB work well to do protection of individual rows. So I'd like that to be more wizard or easy to set up."

More Amazon DynamoDB cons

"When it comes to complex queries, a user can't get any help from a drop-down box and pick columns. It would be great if some improvements could be made in the aforementioned area concerning the solution."

"The cost of this product is too expensive."

"I've used Bigtable for about three or four years."

"Improvement should be made as per customer recommended and requirements."

"The lagging problem of the product I face is an area of concern where improvements are required."

"This product needs better security and transparency, and the price should be reduced."

"The initial setup was difficult."

"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."

"We should have more freedom to tweak it and make our own queries for non-traditional use-cases."

"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."

"It would be nice to have more options to ingest the data, for example, more file options or more search options. Currently, you can use JSON, but if there were other file types you can use for data ingestion, that would be nice."

"Its stability can be further improved."

"The biggest problem is the learning curve and other database services like RDS."

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

More Microsoft Azure Cosmos DB cons

Pricing and Cost Advice

"For our use case usage, DynamoDB's pricing was okay. However, for high-traffic applications, the pricing structure becomes less attractive."

"The product is expensive"

"Amazon DynamoDB is a cheap solution."

"It is costly. To reduce the costs, users need to read the node in front of it. For read-heavy groups, cache optimization can help manage costs.I can't disclose specific pricing, but it's competitive compared to others in the market, and this information is easily accessible online"

"We previously paid around $20,000 a month for MongoDB, and now we're paying just $4,000 monthly for Amazon DynamoDB."

"You can get committed capacity or transaction-based pricing. If you're doing it on demand, they charge based on whether you're reading or writing. They charge $1.25 for every million rights to the database and 25 cents for every million reads from the database. The first 25 gigabytes of storage are free, and they charge 25 cents a gigabyte a month. So, it's a very different world. It's a quarter a gigabyte a month. You can store a lot of data. They have a separate fee for automated backup, and if you want it globally distributed, where it's distributed around the world, there's a slightly different price."

"I can say that it is not the cheapest one because if we had our own kind of storage solution, our own hosting, and instead of using the cloud, we opted for some other method, it would have been a tool of a lower cost."

"Amazon DynamoDB is cheap."

More Amazon DynamoDB pricing and cost advice

Information not available

"The Cosmos DB pricing model, initially quite complicated, became clear after consulting with Azure Advisor, allowing us to proceed with confidence."

"The pricing for Microsoft Azure Cosmos DB is good. Initially, it seemed like an expensive way to manage a NoSQL data store, but so many improvements that have been made to the platform have made it cost-effective."

"Cosmos should be cheaper. We actually intend to stop using it in the near future because the price is too high."

"Most customers like the flexibility of the pricing model, and it has not been an issue. They can start small, and the cost grows with adoption, allowing efficient management of the budget. Its pricing model has not been a concern at all for any of our customers. They understand it. It is simple enough to understand. Oftentimes, it is hard to forecast the RUs, but, in general, it has been fine."

"When we've budgeted for our resources, it's one of the more expensive ones, but it's still not very expensive per month."

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

"The customer had a high budget, but it turned out to be a little bit cheaper than what they expected. I am not sure how much they have spent so far, but they are satisfied with the pricing."

"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."

More Microsoft Azure Cosmos DB pricing and cost advice

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Top Industries

By visitors reading reviews

Computer Software Company

24%

Financial Services Firm

20%

Manufacturing Company

Government

Computer Software Company

16%

University

14%

Retailer

Financial Services Firm

Legal Firm

12%

Computer Software Company

11%

Comms Service Provider

11%

Financial Services Firm

10%

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What do you like most about Amazon DynamoDB?

We don't have to administer the tool.

See all answers

What needs improvement with Amazon DynamoDB?

The user interface could be improved to make it more intuitive. From a design and solution perspective, it's really g...

See all answers

What is your primary use case for Amazon DynamoDB?

We use Amazon DynamoDB for data lookups with the consultancy.

See all answers

What do you like most about Google Cloud Bigtable?

Scalability-wise, I rate the solution a ten out of ten.

See all answers

What needs improvement with Google Cloud Bigtable?

The lagging problem of the product I face is an area of concern where improvements are required. In general, the perf...

See all answers

What is your primary use case for Google Cloud Bigtable?

When a client gives our organization a project where they need a dashboard for their company, they provide us with so...

See all answers

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 av...

See all answers

What is your experience regarding pricing and costs for Microsoft Azure Cosmos DB?

Its cost is transparent. Pricing depends on the transaction and data size, but overall, it is cheaper compared to hos...

See all answers

What needs improvement with Microsoft Azure Cosmos DB?

I had a challenging experience implementing the emulator with a Mac. I had to install the emulator in a Docker contai...

See all answers

Comparisons

Amazon Keyspaces vs Amazon DynamoDB

Compared 43% of the time

Amazon Neptune vs Amazon DynamoDB

Compared 13% of the time

Amazon DocumentDB vs Amazon DynamoDB

Compared 10% of the time

Amazon Timestream vs Amazon DynamoDB

Compared 9% of the time

Oracle NoSQL Database Cloud vs Amazon DynamoDB

Compared 4% of the time

More Amazon DynamoDB Competitors

Amazon Timestream vs Google Cloud Bigtable

Compared 38% of the time

MongoDB vs Google Cloud Bigtable

Compared 17% of the time

More Google Cloud Bigtable Competitors

Chroma vs Microsoft Azure Cosmos DB

Compared 14% of the time

Pinecone vs Microsoft Azure Cosmos DB

Compared 10% of the time

Amazon Neptune vs Microsoft Azure Cosmos DB

Compared 7% of the time

Neo4j AuraDB vs Microsoft Azure Cosmos DB

Compared 5% of the time

ClickHouse vs Microsoft Azure Cosmos DB

Compared 3% of the time

More Microsoft Azure Cosmos DB Competitors

Product Reports

Buyer's Guide

Amazon DynamoDB

April 2025

Download Amazon DynamoDB product report

Buyer's Guide

Managed NoSQL Databases

April 2025

Download Google Cloud Bigtable product report

Buyer's Guide

Microsoft Azure Cosmos DB

April 2025

Download Microsoft Azure Cosmos DB product report

Also Known As

No data available

Microsoft Azure DocumentDB, MS Azure Cosmos DB

Overview

Amazon DynamoDB is a scalable NoSQL database valued for its speed and cost efficiency, adept in handling unstructured data and delivering fast data retrieval without predefined schemas.

Amazon DynamoDB is recognized for seamless integration with AWS services and its ability to accommodate large datasets. It provides powerful performance with automatic scaling, JSON document storage, and requires no external configurations. Users appreciate the predictable performance and ease of use, although the documentation lacks clarity, and local access necessitates third-party tools. Complex queries can be challenging due to limited API options. Desired improvements include better integration with other services and an enhanced interface. The cost structure and data storage limitations present challenges with improvements needed in backup, restore, caching, and query performance.

What are the standout features of Amazon DynamoDB?

Scalability: Automatically adjusts capacity to accommodate workloads.
Integration: Seamless with various AWS services for comprehensive solutions.
NoSQL Flexibility: Adapts to diverse unstructured data needs.
JSON Storage: Stores and manages data in JSON format efficiently.
Automatic Scaling: Ensures efficient resource usage and cost management.

Which benefits should users consider in reviews?

Performance: Provides fast and efficient data retrieval.
Cost Efficiency: Manages data storage costs effectively.
Ease of Use: Offers a straightforward setup and management experience.
Flexibility: Adaptable to different data requirements and workloads.

Amazon DynamoDB is implemented in industries for IoT data management, weather data storage, localization automation, and large stream indexing. It's utilized for user data management in web services and e-commerce, providing high-performance, scalable storage solutions. Companies benefit from serverless architecture, JSON storage, and integration with Lambda for optimized data handling.

Amazon Web Services (AWS)

Cloud Bigtable is Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.

Google

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

Sample Customers

Samsung, Snapchat, Capital One, Expedia, Tinder, Airbnb, Comcast, Lyft, Redfin, Netflix, Adobe

Cognite, Dow Jones, Loblaw Digital

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

Buyer's Guide

Managed NoSQL Databases

April 2025

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