Amazon DynamoDB vs. Google Cloud Datastore vs. Azure Front Door

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

If you want a serverless NoSQL database, no matter it is for personal use, or for company use, Google Cloud Datastore should be on top of your list, especially if you are using Google Cloud as your primary cloud platform. It integrates with all services in the Google Cloud platform.

Incentivized

Azure Front Door is very easy and fast to set up and implement, if you are looking for an easy solution that is secure and reliable, Front Door does all that and can be configured in a few hours. AFD is a CDN with WAF, accordingly, it is well suited for any CDN Scenario, other providers such as Akamai or Verizon have a more expensive base price and are harder to manage/configure, Front Door is simple, easy, and provides what's needed when it comes to Web App Security. If you have multiple data centers, have apps in different regions, or targeting a global audience, AFD is an excellent option to get up to speed quickly. If you are looking for more features and capabilities, or planning a very complex setup, Front Door might be sufficient, but other specialized provides such as Imperva, Cloudflare or Akamai are generally a bit more advanced (but harder to set up and maintain). It always depends on the scenario, but for us, Front Door was an excellent option and served us very well with no issues.

Incentivized

• To manage varying workloads, it enables users to increase capacity as necessary and decrease it as needed.
• Users can take advantage of its auto-scaling, in-memory caching, and backup without paying for the services of a database administrator.
• We can use it for low scale operations.

Incentivized

• Automatically handles shards and replication.
• Schema-less & NoSQL.
• Fully managed.

Incentivized

• Content delivery across all continents
• Web & media acceleration
• Web application firewall
• Backend geo-availability
• Reporting & access metrics

Incentivized

• Cost model may not be easy to control and may lead to higher costs if not carefully planned
• Indexing may be a cost culprit when not planned, because it's not included on the data costs
• The Query Language may not fulfill everybody's expectations, as it has less features than those of competitors.

Incentivized

• It is hosted on GCP, which makes it harder if your company have multi-cloud strategy.
• When you want to migrate to other cloud providers, there can be a caveat.

Incentivized

• Better control over origin caching
• Hierarchal Management UI instead of distributed management
• TLS & Cipher Control
• Faster publishing or change updates

Incentivized

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.

Incentivized

For the amount of use we're getting from Google Cloud Datastore, switching to any other platform would have more cost with little gain. Not having to manage and maintain Google Cloud Datastore for over 4 years has allowed our teams to work on other things. The price is so low that almost any other option for our needs would be far more expensive in time and money.

Incentivized

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.

Incentivized

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.

Incentivized

I have not had to contact support for this service, however I have had to contact AWS for other services and their support has been good.

Incentivized

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.

Incentivized

We selected Google Cloud Datastore as one of our candidates for our NoSQL data is because it is provided by Google Cloud, which fits our needs. Most of our infrastructure is on Google Cloud, so when we think about the NoSQL database, the first thing we thought about is Google Cloud Datastore. And it proves itself.

Incentivized

It's generally hard to compare CDNs, each has its features, POP locations, latency, and availability. We have used many other CDNs, including Akamai, Verizon, and Cloudflare. They are all great, but each has its own advantages/disadvantages. From our perspective, all other providers were much harder to configure and maintain and their overall cost was higher than AFD. For example, Verizon was great, performance was excellent, but reporting/logging was not up to our expectations, and we had many issues with its Rules Engine. AFD is great for delivering your web apps globally quickly and easily, the cost is reasonable and comes with very little operational overhead, the logging and reporting capabilities are very good, additionally, its integration with Azure Cloud Services gives it an advantage over other competitors.

Incentivized

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.

Incentivized

• 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.

Incentivized

• Simple billing part of Google Cloud Platform
• No time spent configuring and maintaining Google Cloud Datastore.
• Very good uptime for our applications.

Incentivized

• AFD implementation was approx. 80% cheaper than other providers, from initiation to operation.
• It allowed us to minimize backend resources size/processing power, taking all the load from client requests, cutting tens of thousands of dollars monthly on compute, memory, and network bandwidth.
• Overall, the ROI of AFD is very quick, it is not an expensive solution, therefore, its ROI goals are easy to calculate and achieve, our overall ROI exceeded 300%.

Incentivized