Amazon DynamoDB is a cloud-native, NoSQL, serverless database service.
$0
capacity unit per hour
Amazon Web Services
Score 8.5 out of 10
N/A
Amazon Web Services (AWS) is a subsidiary of Amazon that provides on-demand cloud computing services. With over 165 services offered, AWS services can provide users with a comprehensive suite of infrastructure and computing building blocks and tools.
$100
per month
Microsoft Azure
Score 8.4 out of 10
N/A
Microsoft Azure is a cloud computing platform and infrastructure for building, deploying, and managing applications and services through a global network of Microsoft-managed datacenters.
$29
per month
Pricing
Amazon DynamoDB
Amazon Web Services
Microsoft Azure
Editions & Modules
Provisioned - Read Operation
$0.00013
capacity unit per hour
Provisioned - Write Operation
$0.00065
capacity unit per hour
Provisioned - Global Tables
$0.000975
per Read Capacity
On-Demand Streams
$0.02
per 100,000 read operations
Provisioned - Streams
$0.02
per 100,000 read operations
On-Demand Data Requests Outside AWS Regions
$0.09
per GB
Provisioned - Data Requests Outside AWS Regions
$0.09
per GB
On-Demand Snapshot
$0.10
per GB per month
Provisioned - Snapshot
$0.10
per GB per month
On-Demand Restoring a Backup
$0.15
per GB
Provisioned - Restoring a Backup
$0.15
per GB
On-Demand Point-in-Time Recovery
$0.20
per GB per month
Provisioned - Point-in-Time Recovery
$0.20
per GB per month
On-Demand Read Operation
$0.25
per million requests
On-Demand Data Stored
$0.25
per GB per month
Provisioned - Data Stored
$0.25
per GB per month
On-Demand - Write Operation
$1.25
per million requests
On-Demand Global Tables
$1.875
per million write operations replicated
Free Tier
$0
per month
Basic Environment
$100 - $200
per month
Intermediate Environment
$250 - $600
per month
Advanced Environment
$600-$2500
per month
Developer
$29
per month
Standard
$100
per month
Professional Direct
$1000
per month
Basic
Free
per month
Offerings
Pricing Offerings
Amazon DynamoDB
Amazon Web Services
Microsoft Azure
Free Trial
No
Yes
Yes
Free/Freemium Version
No
Yes
Yes
Premium Consulting/Integration Services
No
No
No
Entry-level Setup Fee
No setup fee
No setup fee
No setup fee
Additional Details
—
AWS allows a “save when you commit” option that offers lower prices when you sign up for a 1- or 3- year term that includes an AWS service or category of services.
The free tier lets users have access to a variety of services free for 12 months with limited usage after making an Azure account.
More Pricing Information
Community Pulse
Amazon DynamoDB
Amazon Web Services
Microsoft Azure
Considered Multiple Products
Amazon DynamoDB
Verified User
Engineer
Chose Amazon DynamoDB
DynamoDB offers strong consistency, more fine-grained control over read and write capacities, and integrates seamlessly with other AWS services. DynamoDB is designed for horizontal scalability and high throughput, making it a better choice for applications with rapidly changing …
The particular services I am using in AWS is easier to set up and manage than Microsoft Azure. IBM Bluemix/Cloud previously has too many product beta and preview released along with their products. Microsoft also releases too many products in preview or beta.
If I talk about the product capabilities, I would say AWS is better than Microsoft Azure. It also provides excellent network and security services. Additionally, I would say the security and compliance of this product helps me to scale and innovate all
my databases, into one …
Both the services are in the field for quite sometime. And the biggest competitor of Amazon Web Services is Microsoft Azure. Though, Azure easily connects with Microsoft services like a jelly, even in AWS its so easy. And the best thing is due to its vast variety community …
Apart from Amazon Web Services, we use Microsoft Azure in some of our projects. I have some basic experience in Google Cloud Platform (GCP) as well. If given a choice, I would prefer using Amazon Web Services over Azure or GCP. I find provisioning of resources relatively faster …
AWS stands out in its ability to adapt technology more quickly. All the new features, first adapted by AWS, make it the market leader. The key metrics, such as MTTR, are among the best among all other cloud service providers. The AWS dashboard and analytics features are very …
Amazon Web Services is better among all of them due to its performance, stability, security and navigation. It effectively saves the cost and provides better facilities than the other competitors. It plays great role when it comes to user friendly interface. It also provided …
Verified User
Administrator
Chose Amazon Web Services
AWS has the largest market share and most established and over 200 services for diverse needs. AWS has a very power user interface and pay as you go work well that others. AWS has the by far largest network of data centers for low latency and high availability. The regular …
Better global availability and use across industries. AWS has a great ecosystem of experts, developers, solution architects and it helps to get to know them at various AWS events across the world
The decision was made to go with AWS because of name recognition and familiarity by contractors we hired. I checked out Google Compute Engine a few years ago, and it did have similar option set, however Google in general was behind Amazon's offerings.
We evaluated Azure, Goggle Cloud, and Amazon Web Services during our cloud computing solution decision. We needed the storage and a pre-installed version of a commercial product. As we were not highly demanding in performance, all candidates were sufficient. However, we found …
At a past company we used Azure; I feel like AWS is always mentioned favorably in compare/contrast conversations regarding Azure specifically, and when I started this new company a couple of years ago, we decided to go with AWS as it seemed to have a near-pristine track record.
AWS is as good as any of the major cloud providers. I see a complete parity in this marketplace as innovations by one tend to be replicated by the others in short order. If you are looking to compare, or pilot, cloud hosting providers you must try AWS as they are a very …
OCI and Google Compute Engine are a bit cheaper than AWS but AWS has better chargeback and more granular monitoring of various KPIs. But at the same time, AWS has a learning curve while GCE especially is much easier to use. Microsoft Azur has a much better partner and developer …
AWS is very widely adopted by our development team and the industry. AWS is investing in new products and services, as well as innovating on existing offerings.
AWS, in my opinion, is the most mature and popular cloud. It provides the biggest number of services available and the provider which innovates the most.
Since most of our clients are Office 365 users, Azure holds a lot of benefit in its integration possibilities. However, AWS is still less expensive and easier to manage in my experience. There will come a time though, that I'm sure we will move most clients to Azure. …
We like the platform agnostic approach. At the time we selected it (some years back), the security standard was higher and the price point was lower, and the global reach was at least as strong. It was very easy to get started. For our business, we also looked at Akamai and …
Amazon Web Services dominate cloud service market as a de facto market leader in IaaS and PaaS industry. However, Microsoft, with its Azure solution, has proven to be a formidable challenger to Amazon in cloud service, and is slowly but surely closing in the gap. Legacy …
I feel that Microsoft Azure typically outperforms Google Cloud Platform in hybrid cloud capabilities, integration aspects, and, primarily, security compliance features. Azure offered superior integration with Microsoft's enterprise software ecosystem, and it's second to none in …
Verified User
C-Level Executive
Chose Microsoft Azure
Mostly due to the ecosystem. I don't think there is anything in AWS that we would be missing out when using Microsoft Azure. We use Microsoft products on on-premise servers and also M365 / Office services that are well supported in Microsoft Azure. The pricing between AWS and …
AWS is good for linux virtual machines and mac virtual machines, Microsoft Azure doesn't do mac VMs. However, in my opinion Microsoft Azure is better in every other aspect, easier to use and just as cost effective.
AWS is the most stable cloud options but Azure has done well in last few years and provides good options specifically for Microsoft customers and who are more familiar with Microsoft technologies like WINDOWS, MS SQL SERVER, GITHUB, VISUAL STUDIO etc. Google cloud is more …
Verified User
Contributor
Chose Microsoft Azure
Ease of use. Multiple Data centers across the globe. Load management. Backup and recovery options.
We actually utilized multiple cloud stacks, depending upon the customer environment and need. Those that heavily used MS products (Office on-prem or 365), Teams, etc, found it a better fit, with easier integration, for their needs.
Integration with other Microsoft products makes Azure stand out quite a bit. However, if you need to use open source software and to integrate with Linux systems then AWS or Google Cloud might be better alternatives. Google did not even come close to Azure in terms of …
AWS and [Microsoft] Azure are in a class by themselves, no matter how you look at them or what sub-area or service you focus on. No other cloud provide can match the breadth and ability of these two. Nobody else has the market share either (for a reason). That being said, …
Integration with other Microsoft products makes Azure stand out quite a bit. But if your shop mostly runs open source and Linux then look at AWS or Google Cloud.
We do everything Microsoft and wanted the thing that would most easily be compatible with everything out of the gate. Pricing was comparable. It made sense to us.
There are lots of players in this space these days, but Microsoft and AWS are the two most visible and easiest to get connected with. We were using AWS first, and have been using both for some time, but have now converted entirely over to Azure just for the ease of management, …
As we are working mostly on .net projects and Microsoft has very nice integration available for the latest versions, we can get all the latest version for hosting at the earliest time. We can use the same in .Net Core. This should be a very well known product for our any .net …
Like I mentioned earlier, it is more user-friendly when compared to any of the other. It is more flexible with the system you are using that makes it easy to set up with the migration of data. If you can bear the extra price compared to AWS, Azure is more robust, works like a …
AWS is competitor and it's leading in cloud space with his wide sprawl of offerings and services. AWS is a ocean once you login you get everything on one console. AWS leads this space with all his offerings and capabilities. But Azure is not behind, it is competing and is …
Hosting providers are plentiful and all of them are very similar in functionality. Azure boasts a much more robust integration and management platform in my experience than AWS does and is years ahead of many of the smaller cloud providers.
It’s great for server less and real-time applications. It would be great for gaming and mobile apps. However, if you need relational database and have fixed budget, do not use it. While budget can be managed, you need to be careful. Also this is not a tool for storing big data, there are other wide-column database types you could use for it ins the ad
This is something that is actually common across most cloud providers. A comprehensive understanding of one's use cases, constraints and future directions is key to determining if you even need a cloud solution. If you are a 2-person startup developing something with a best-scenario audience of 1k DAU in a year, you would very likely best served by a dirt-cheap dedicated Linux server somewhere (and your options to graduate to a cloud solution will still be open). If, however, you are a bigger fish, and/or you are actively considering build-vs-buy decisions for complicated, highly-loaded, six-figure requests per minute systems, global loadbalancing, extreme growth projections - then MAYBE you solve all or part of it with a cloud provider. And depending on your taste for risk, reliability, flexibility, track record - it might be AWS.
Azure is particularly well suited for enterprise environments with existing Microsoft investments, those that require robust compliance features, and organizations that need hybrid cloud capabilities that bridge on-premises and cloud infrastructure. In my opinion, Azure is less appropriate for cost-sensitive startups or small businesses without dedicated cloud expertise and scenarios requiring edge computing use cases with limited connectivity. Azure offers comprehensive solutions for most business needs but can feel like there is a higher learning curve than other cloud-based providers, depending on the product and use case.
Microsoft Azure is highly scalable and flexible. You can quickly scale up or down additional resources and computing power.
You have no longer upfront investments for hardware. You only pay for the use of your computing power, storage space, or services.
The uptime that can be achieved and guaranteed is very important for our company. This includes the rapid maintenance for security updates that are mostly carried out by Microsoft.
The wide range of capabilities of services that are possible in Microsoft Azure. You can practically put or create anything in Microsoft Azure.
The cost of resources is difficult to determine, technical documentation is frequently out of date, and documentation and mapping capabilities are lacking.
The documentation needs to be improved, and some advanced configuration options require research and experimentation.
Microsoft's licensing scheme is too complex for the average user, and Azure SQL syntax is too different from traditional SQL.
It's core to our business, we couldn't survive without it. We use it to drive everything from FTP logins to processing stories and delivering them to clients. It's reliable and easy to query from all of our pipeline services. Integration with things like AWS Lambda makes it easy to trigger events and run code whenever something changes in the database.
We are almost entirely satisfied with the service. In order to move off it, we'd have to build for ourselves many of the services that AWS provides and the cost would be prohibitive. Although there are cost savings and security benefits to returning to the colo facility, we could never afford to do it, and we'd hate to give up the innovation and constant cycle of new features that AWS gives us.
Moving to Azure was and still is an organizational strategy and not simply changing vendors. Our product roadmap revolved around Azure as we are in the business of humanitarian relief and Azure and Microsoft play an important part in quickly and efficiently serving all of the world. Migration and investment in Azure should be considered as an overall strategy of an organization and communicated companywide.
Functionally, DynamoDB has the features needed to use it. The interface is not as easy to use, which impacts its usability. Being familiar with AWS in general is helpful in understanding the interface, however it would be better if the interface more closely aligned with traditional tools for managing datastores.
AWS offers a wide range of powerful services that cater to various business needs which is significant strength. The ability to scale resources on-demand is a major advantage making it suitable for businesses of all sizes. The sheer volume of options and configurations can be overwhelming for new users leading to a steep learning curve. While functional the AWS management console can feel cluttered and less intuitive compared to some competitors which can hinder navigation. Although some documentation lacks clarity and practical examples which can frustrate users trying to implement specific solutions.
As Microsoft Azure is [doing a] really good with PaaS. The need of a market is to have [a] combo of PaaS and IaaS. While AWS is making [an] exceptionally well blend of both of them, Azure needs to work more on DevOps and Automation stuff. Apart from that, I would recommend Azure as a great platform for cloud services as scale.
It works very well across all the regions and response time is also very quick due to AWS's internal data transfer. Plus if your product requires HIPPA or some other regulations needs to be followed, you can easily replicate the DB into multiple regions and they manage all by it's own.
AWS does not provide the raw performance that you can get by building your own custom infrastructure. However, it is often the case that the benefits of specialized, high-performance hardware do not necessarily outweigh the significant extra cost and risk. Performance as perceived by the user is very different from raw throughput.
The customer support of Amazon Web Services are quick in their responses. I appreciate its entire team, which works amazingly, and provides professional support. AWS is a great tool, indeed, to provide customers a suitable way to immediately search for their compatible software's and also to guide them in a good direction. Moreover, this product is a good suggestion for every type of company because of its affordability and ease of use.
We were running Windows Server and Active Directory, so [Microsoft] Azure was a seamless transition. We ran into a few, if any support issues, however, the availability of Microsoft Azure's support team was more than willing and able to guide us through the process. They even proposed solutions to issues we had not even thought of!
As I have mentioned before the issue with my Oracle Mismatch Version issues that have put a delay on moving one of my platforms will justify my 7 rating.
The only thing that can be compared to DynamoDB from the selected services can be Aurora. It is just that we use Aurora for High-Performance requirements as it can be 6 times faster than normal RDS DB. Both of them have served as well in the required scenario and we are very happy with most of the AWS services.
Amazon Web Services fits best for all levels of organisations like startup, mid level or enterprise. The services are easy to use and doesn't require a high level of understanding as you can learn via blogs or youtube videos. AWS is Reasonable in cost as the plan is pay as you use.
As I continue to evaluate the "big three" cloud providers for our clients, I make the following distinctions, though this gap continues to close. AWS is more granular, and inherently powerful in the configuration options compared to [Microsoft] Azure. It is a "developer" platform for cloud. However, Azure PowerShell is helping close this gap. Google Cloud is the leading containerization platform, largely thanks to it building kubernetes from the ground up. Azure containerization is getting better at having the same storage/deployment options.
I have taken one point away due to its size limits. In case the application requires queries, it becomes really complicated to read and write data. When it comes to extremely large data sets such as the case in my company, a third-party logistics company, where huge amount of data is generated on a daily basis, even though the scalability is good, it becomes difficult to manage all the data due to limits.
Some developers see DynamoDB and try to fit problems to it, instead of picking the best solution for a given problem. This is true of any newer tool that people are trying to adopt.
It has allowed us to add more scalability to some of our systems.
As with any new technology there was a ramp up/rework phase as we learned best practices.
Using Amazon Web Services has allowed us to develop and deploy new SAAS solutions quicker than we did when we used traditional web hosting. This has allowed us to grow our service offerings to clients and also add more value to our existing services.
Having AWS deployed has also allowed our development team to focus on delivering high-quality software without worrying about whether our servers will be able to handle the demand. Since AWS allows you to adjust your server needs based on demand, we can easily assign a faster server instance to ease and improve service without the client even knowing what we did.
For about 2 years we didn't have to do anything with our production VMs, the system ran without a hitch, which meant our engineers could focus on features rather than infrastructure.
DNS management was very easy in Azure, which made it easy to upgrade our cluster with zero downtime.
Azure Web UI was easy to work with and navigate, which meant our senior engineers and DevOps team could work with Azure without formal training.